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Research ArticleBiometrics Analysis and Evaluation on Korean Makgeolli UsingBrainwaves and Taste Biological Sensor System
Yong-Sung Kim1 and Yong-Suk Kim2
1 Division of Computer Science amp Engineering Chonbuk National University Jeonju 561-756 Republic of Korea2Department of Food Science and Technology Chonbuk National University Jeonju 561-756 Republic of Korea
Correspondence should be addressed to Yong-Suk Kim kimys08jbnuackr
Received 9 September 2014 Accepted 31 October 2014
Academic Editor Tai hoon Kim
Copyright copy 2015 Y-S Kim and Y-S Kim This is an open access article distributed under the Creative Commons AttributionLicense which permits unrestricted use distribution and reproduction in any medium provided the original work is properlycited
There are several methods available in measuring food taste The sensory evaluation for instance is a typical method for panelsto test of taste and recognize smell with their nose by measuring the degree of taste characteristic intensity and pleasure Thereare many issues entailed in the traditional sensory evaluation method such as forming a panel and evaluation cost moreover itis only localized in particular areas Accordingly this paper aimed to select food in one particular area and compare and reviewthe content between sensory evaluations using a taste biological sensor as well as presenting an analysis of brainwaves using EEGand finally a proposal of a new method for sensory evaluation In this paper the researchers have conducted a sensory evaluationwhereas a maximum of nine points were accumulated by purchasing eight types of rice wine These eight types ofMakgeolli weregeneralized by generating multidimensional data with the use of TS-5000z thus learning mapping points and scaling them Thecontribution of this paper therefore is to overcome the disadvantages of the sensory evaluation with the usage of the suggestedtaste biological sensor system
1 Introduction
Recently many strategic plans have been proposed to global-ize Korean food Yet there were various issues to take Koreanfood globally in accordance with such proposals Not onlyhas the degree of taste characteristic intensity and pleasureformed the backbone of taste for the actual food but also tastediffers depending on the country and regional environmentBecause a lot of time and cost are involved in researching andanalyzing such conditions new alternative plan is required toglobalize Korean food [1]
In this paper in order to overcome human limit andeconomic feasibility with regard to sensory evaluation com-paring and analyzing evaluation results between the taste bio-logical sensor system (TS-5000z) and sensory evaluation ofpanels with physicochemical analysis have been conducted
Subsequently it continued to analyze the results of brain-waves of panels to resulting materials of TS-5000z to drawout standardized results of characteristics and intensity to acertain degree that forms the backbone of taste
Standardization and taste measurement are needed inorder to globalize alcoholic beverages making it commer-cially available everywhere In relation to the case of Euro-pean wines enhancing the productrsquos value and improvedproductivity is regarded through its taste specialization by itsbrand Makgeolli for thousands of years is one of the mostmarketable traditional alcoholic beverages in Korea
There were especially made adjective-expressions forsensory evaluation that are well developed in the Koreanlanguage hence the existence of numerous adjective termsto express the taste of Makgeolli According to the previouspilot research with regard to the mutual similarities of thepairs of terms we can reach the realization of the hardshipof formulating complete sets with small number of adjectivesthat can generally be used to express all kinds of KoreanMakgeolli
Makgeolli is an alcoholic drink made with rice wheatflour barley corn and sweet potato as major fermentingmaterials and thereafter fermented with Koji or Nuruk [1 2]The physicochemical and taste qualities of this drink depend
Hindawi Publishing CorporationBioMed Research InternationalVolume 2015 Article ID 918631 12 pageshttpdxdoiorg1011552015918631
2 BioMed Research International
Tasteless
Sweet
SourBitter
Savory
TryingUnpleasant
Astringent
Musty
BitterHard
Flavor
Savory Aromatic
Taste
Relish
Tart
Vinegary
Sour
Chilly
Sweet-flavored
NiceGratifyingTasty
Sugary
Clean taste Honey like
SpicyFlavorless
Unpleasant-tasting
Dull SharpUnpalatable Flat
UnsavoryUnpleasant
Very hot
Peppery
HotIll-tasting
Insipid
PungentTasteless
Acidic
Disgusting
Figure 1 Type of taste information
on themakingmaterials heatingmethods andNuruk aswellas the produced area [3] In order for this drink to maintainits quality characteristics Makgeolli has to be heated at 62ndash65∘C for 30 minutes preventing the drink from being alteredfor a long period of time to be able to keep its flavor andbalanced taste SterilizedMakgeolli however has weaknessessuch as death of useful microbes heated flavor and a feelingof refreshment [3 4]
This paper therefore concentrates on the elicitation ofregional properties found in Makgeolli through the tastecorrelation between the electroencephalographic data ofsensual test and taste biological sensor data
Accordingly by analyzing correlation of physicochemicalanalysis and sensory evaluation of Makgeolli with TS-5000zanalysis results and by comparing analyzed results of brain-waves of panels based on such findings it showed that it hasthe capability to replace the sensory evaluation as a scale ifcomplementary scale is proposed for the analyzed results ofTS-5000z
2 Related Works
21 Taste-Adjectives The taste is often described as a sensoryreaction that is caused by the chemical stimulus In order torecognize the taste materials are firstly dissolved in the salivathat stimulates gustatory cells hence signaling the cerebrumHereafter the activity takes about a minute to taste Aftereating the food the taste lingers for 30 seconds
Scale describing and introducing a particular product inqualitative and quantitativemeasures is called a scalemethodFour basic tastes in Figure 1 are the baseline for dimensionsin accordance with ldquoimputed characteristic to a certain taste[5 6]rdquo
Here the closer the concept of a particular adjective is toa traditional taste the closer that concept gets to the baselineHowever it is difficult to argue this type of ordering as itis affiliated with dimensions in accordance with imputedcharacteristic to a certain taste
Since quantitative description is defined with character-istics and intensity of appearance smell taste and physicalproperties of a particular product it is typical to understandtaste in terms of physiological base and taste-adjectivesformed in its semantics
There is a point to consider when classifying the prop-erties of Makgeolli although a certain taste of its propertyis generally classified as good it can still be recognizedas unpleasant if it shows more than the required specificconcentration
22 Clustering Algorithm Taste evaluation scale develop-ment using adjective pairs is extremely small and althoughthere have been cases of using food taste as evaluation scaleit proved to be unsuccessful In order to develop adjectivescale that is to be used in qualitative sensory evaluation ofactual taste it is necessary to use correlation of adjectivesto analyze factor analysis and congregation analysis andcongregate adjectives expressing positive taste negative tastefood texture and heat level In general congregation isdefined as follows
Let us say that the sample 119878 = 1199091 1199092 119909
119899 is given
which satisfies the below conditional equation a subset of119862 =
1198781 1198782 119878
119888
119878119894= (119894 = 1 119888)
119878119894cap 119878119895= (119894 119895 = 1 119888 119894 = 119895)
119888
⋃
119894=1
= 119878
(1)
Affiliated variables are defined in expression (2) andcongregationl number in expression (3) Each congregationuses variables that show the degree of affiliation Affiliatedvariable mij shows the degree of affiliation of 119909
119894toward 119909
119895
BioMed Research International 3
Affiliated variables should satisfy the following conditionalequation
0 le 119898119894119895le 1
119896
sum
119895=1
119898119894119895= 1
119873
sum
119894=1
119898119894119895lt 119873
(2)
Stirling number may be utilized to count different typesof congregations Stirling number is a conditional numberfrom dividing objects of119873 onto 119870 group Therefore Stirlingnumber can be defined cyclic expression as follows
119878 (119873119873) = 1 119896 = 1 or 119873
otherwise
119878 (119873 119896) = 119878 (119873 minus 1 119896 minus 1) + 119896119878 (119873 minus 1 119896)
(3)
In this paper termite colony algorithm is used tocongregate adjectives used to describe Makgeolli Termitecolony algorithm is based on the probability value of termitebehavior The aim is to find a suitable initial congregationrequired for 119896-means congregation using termite colonyalgorithmThrough termite search estimating sample densitywithin congregation is possible and this estimated initialset suitable for density influences congregational functions(Algorithm 1)
23 Samples and Analysis Biometrics With the purposeof experimenting 12 commercialized Makgeolli samples(unsterilized = 5 sterilized = 7) produced in South Koreawere purchased and maintained at 4∘C refrigerator The fiveunsterilized commercialMakgeolli samples were categorizedas US1 US2 US3 US4 and US5 On the other hand sevensterilized samples were categorized as S1 S2 S3 S4 S5 S6and S7 [7]
The physicochemical qualities ofMakgeolli samples suchas pH aminotype nitrogen titratable acidity and solublesolid contents were tested [8 9] In the case of sensory testinggraduate and undergraduate students (119899 = 25) from theDepartment of Food Science and Technology in ChonbukNational University were introduced with the objective andmethodology prior to the test The samples were tested usinga 9-point hedonic scale ranging from ldquoreally likerdquo (scale 9) toldquoreally dislikerdquo (scale 1) Properties like turbidity color flavorsweetness sourness bitterness thickness cooling sensationand balance were evaluated for the sensory test [9]
The data was treated using the statistical analysis system(SAS 1998) package software for the analysis of variance andDuncanrsquos test All analyses were conducted in triplicate exceptfor the sensory test that was measured by 25 students Thestatistical significance was established at 119875 lt 005
24 Brainwaves Brainwave research with regard to humanemotional change has been relatively developed This
Higharousal
Highpositiveaffective
Positive
LowpositiveaffectiveLow
arousal
Lownegativeaffective
Negative
Highnegativeaffective
NervousAfraid
FuriousAlarmed Astonished
Excited
HappyJoy
Pleased
NeutralSerene
CalmRelaxed
SleepySluggish
Unpleased
SadDisappointed
Figure 2 Valence-arousal emotional model
research used a dimensional approach derived from thecognitive theories which determines a personrsquos state ofmind in terms of dimension The common dimensions aredetermined through two types the valence of emotionreflecting either positive or negative emotions and thearousal level of emotion reflecting either active or passiveemotion [6 8] Figure 2 is a 2D valence-arousal emotionalmodel The model shows more diversified and generalizedexpressions compared to discrete emotion approaches
EEG (electroencephalogram) is a brain activity classifiedwith brainwaves that emit electric flow which is generatedwhen signals are sent out into the cerebral nerves through thenervous system When measuring brainwaves it is possibleto obtain an exceptionally complicated type of analoguewaveform as seen in the valence-arousal emotional modelIt is considered as the raw data of EEG The raw dataafterwards were transformed into digital data [10]Thedigitaldata subsequently were transformed into a power spectrumwhereas it was also utilized for data analysis
Power spectral analysis is a mathematical approachemployed in order to quantify EEG It does not howeverprovide a biophysical model of the EEG generation Thepurpose of the analysis is for the decomposition of signals intoits constituting frequency components (eg EEG) FFT (fastFourier transform) on the other hand is known as a widelyusedmethod in acquiring data such as the EEG spectrum [11ndash13]
FFT algorithm describes signals as linear superpositionof Sines and Cosines characterized by their frequency in theequation as seen below expression (4) Consider
119909 (119905) = int
+infin
minusinfin
119883(119891) 1198901198942120587119891119905
119889119891 (4)
The power spectrum also known as power densityspectrum demonstrates the distribution of power or varianceover the frequency components of a signal It is also knownas a Fourier transform of the autocorrelation function
4 BioMed Research International
Input setting of termite cluster valueOutput The initial cluster 119885 = 119911
1
1199112
1199116
initial value termite clusterBegin
119909mean = [max (119909119894
) minusmin(119909119894
)] 2 center point of the entire sample119910mean = [max (119910
119894
) minusmin(119910119894
)] 2
while (TRUE) Termite Search Path() probability path searchif (119905119894
=1003816100381610038161003816(1199091198996) 2
1003816100381610038161003816) break 119905119894 termite colony 1003816100381610038161003816(1199091198996) 21003816100381610038161003816 sample space density
for (119895 = 1 to 7) Swap (119911
119894
119905119894
) swap 119911119894
to 119905119894
1199117
= 119909mean 119910mean assign center point of entire sample space to 1199117
Initial 119885() initialize the colony of number of 119896
119885 = 1199111
1199112
1199117
while (TRUE) for (119894 = 1 to 119899) 119909
119894
position at the nearest cluster centerif (old 119885 = new 119885) break compare with the previous cluster centerfor (119895 = 1 to 119896) 119911
119894
replace 119911119895
setting cluster center
End
Algorithm 1 TCA119870-meanrsquos algorithm
Table 1 Type and feature of brainwaves
Type Frequency Normality120575 (delta) 05sim4Hz Hypnoidal120579 (theta) 4sim7Hz Slow wave sleep120572 (alpha) 8sim12Hz Stable waveMid-120573 (midbeta) 16sim20Hz Concentrate stable wave120573 (beta) 21sim30Hz Action stress wave120574 (gamma) 30sim50Hz Arousal and excitement
The degree of the brain activity causes the shape of brain-waves to react differently If the brain works more actively itproduces a wider frequency bandwidth of brainwaves as seenin Table 1
One of the most used methods in the analysis of brain-waves is the power spectrum analysis [12 13] This studyhence mainly utilized the power spectrum analysis since itis a remarkably adequate method in terms of the time seriesfrequency analysis of the raw data
3 Experimental Results and Discussion
31 Representative Taste-Adjective Before evaluating eightdifferent types of Makgeolli purchased locally through sen-sory evaluation and TS-5000z taste sensor there was littlepreliminary work that needs to be done First was theselection of Makgeolli that sells the most locally Secondlyget 20 students to sort out 87 taste-adjectives that were usedon Internet and in Korean dictionary Thirdly out of the87 selected taste-adjectives 45 of them were sorted out andwere placed into final four categories Lastly through factor
term
s
87 M
akgeolli
taste
-adj
ectiv
es Factor
Clustering
Multidimension
AnalysisSweet sweet clean taste honey like
Sour sour chilly
Bitter astringent bitter musty
Savory savory aromatic
Makgeollis
Figure 3 Four catalog ofMakgeolli taste-adjectives
analysis and congregation algorithm as well as multidimen-sional analysis we extracted 12 taste-adjectives forMakgeolliThe processed result is shown in Figure 3
The outcome of the experiment leads into four represen-tativeMakgeolli-adjectives describing taste sweet sour bitterand savory
As shown above among various Makgeolli types inadjective dimension finding theMakgeolli that is preferred byforeigners should help narrowing down the taste dimensionof Makgeolli from adjective dimension for exporting theproduct globally
32 Physicochemical Characteristics of Makgeolli The pHlevel ofMakgeolli as an alcoholic drink is a significant factorfor its preservation and fermentation process The pH of S1Makgeolli sample as seen in Figure 4 had the lowest levelwith 388 while that of S4 sample had the highest pH with449
Titratable acidity on the other hand serves as a vitalindicator influencing the taste and flavor of a drink Thelactic acid bacteria and yeast found in Makgeolli produce
BioMed Research International 5
000
150
300
450
600
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7
Nonsterilized Sterilized
pH
Sample
Figure 4 pH of 12Makgeolli samples produced in South Korea
000
015
030
045
060
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Titr
atab
le ac
tivity
()
Sample
Figure 5 Titratable acidity of 12 Makgeolli samples produced inSouth Korea
organic acid that can be increased within the process offermentation [14] The result in Figure 5 shows that thetitratable acid content of the S4 sample (sterilized) had thelowest percentage with 017 Meanwhile the US3 which got056 percent had the highest percentage within the samples
The aminotype nitrogen contents were illustrated inFigure 6 resulting with US3 (sterilized) with 8619mg beingthe highest among the samples while the other samplesranged from 1308 to 3106mg
In Figure 7 the soluble solid contents of US3 (unsteril-ized) S1 and S3 (sterilized) obtained 147 64 and 61∘Brix
33 Sensory Test on Domestic Makgeolli Samples UsingTaste Biological Sensor Taste biological sensor an electronicequipment has a similar structure as the taste bud of ahuman tongue and detects taste ingredient which is sent to acomputer in corresponding electrical signal which compilesdata
The taste was analyzed using TS-5000z a taste biologicalsensor from Japan An available taste biological sensor systemfound in Daesang Research Center from Incheon Korea was
00
200
400
600
800
1000
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Am
ino
nitro
gen
(mg
)
Sample
Figure 6 Aminotype nitrogen contents of 12 Makgeolli samplesproduced in South Korea
00
50
100
150
200
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Sample
∘ Brix
Figure 7 Soluble solid contents of 12 Makgeolli samples producedin South Korea
used for equipment testing as seen in Figure 8 The systemconsists of five taste biological sensors namely sournessumami bitterness saltiness and astringencyThere were alsothree aftertaste sensors classified as bitterness astringencyand umami [15]
The method for converting multidimensional data mea-sured by TS-5000z to a taste form recognized by human isimportant In other words the required implementation ofmapping function of four (4) adjective scales of Makgeolliabstracted and measured from TS-5000z and in order toverify these brainwaves of panels are used as in Figure 9
In this paper eight different types of Makgeolli havebeen purchased that are currently sold locally to analyzephysicochemical andmicrobiological properties Afterwardsa 9-point scale sensory evaluation is conducted and usingeight types of Makgeolli evaluated by these panels multidi-mensional data has been created from TS-5000z and studiedthrough mapping function
Using the statistical analysis system (SAS 1998) packagesoftware the data was analyzed for the analysis of varianceand Duncanrsquos test All analyses were carried out in triplicate
6 BioMed Research International
00408
DA
OA
DOP
Bitter taste patterning
1310
Sour taste patterning
31030
31030
Umami taste patterning
minus08
minus04
[9 1][3 7]lowast
[5 5]lowast [5 5]lowast [5 5]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
16-channel high inputimpedance amplifier
MultichannelAD converter
Polymer membrane electrode
Reference electrode(orion double junction reference electrode)
Outer buffer solution
Stirrer
Figure 8 Taste biological sensor (TS-5000z) and multidimensional data
Mappingfunction
Vector value
+
+
Humansensory
tastedate
Bitter
Sour
Salt
Sweet
y
y
Tastebiological
sensor
Trainedmappingfunction
Sour
Sweet
Savory
Bitter sour andumami taste data
Bitter sour andumami taste data
TS-5000z dataTS-5000z data
TS-5000z
Figure 9 Structure of learning process
with the exception of the sensory evaluation that was mea-sured by 12 determinations The significance was establishedat 119875 lt 005
The results on the 12 domestic Makgeolli samples usingthe taste biological sensor system were shown in Table 2 Thesamples US2 (600plusmn211) US4 (580plusmn199) S1 (550 plusmn 143)
and S2 (550 plusmn 127) were significantly high in balanceMoreover the samples S6 S2 and S1 (sterilized) scored higherwith 640 600 and 570 compared to other samples Thesignificant differences were not observed between sterilizedand unsterilized samples in balance scores of sensory testwithin the use of this system
BioMed Research International 7
Table2Sensorytestof
12Makgeollisamples
prod
uced
inSouthKo
reau
singtaste
biologicalsensor
Samples
Turbidity
Color
Flavor
Sweetness
Sourness
Bitte
rness
Thickn
ess
Coo
lingsensation
Balance
US1
590
plusmn110a
bc600
plusmn082
bcd
550
plusmn10
8b470
plusmn12
5abc
520
plusmn16
9ab
560
plusmn15
1a510plusmn074
a610plusmn110a
b510plusmn110a
bc
US2
650
plusmn19
6a76
0plusmn14
3a710plusmn12
0a580
plusmn19
3ab
580
plusmn16
9a570
plusmn17
7a500
plusmn231
ab540
plusmn17
1abcd
600
plusmn211
a
US3
430
plusmn14
9d370
plusmn18
3f490
plusmn17
9b340
plusmn15
8c300
plusmn15
6c310plusmn12
9c450
plusmn246
ab320
plusmn210
ef370
plusmn13
4cde
US4
660
plusmn232
a75
0plusmn10
8a710plusmn088
a610plusmn202
a560
plusmn250
a540
plusmn237
a450
plusmn201
ab520
plusmn225
abcd
580
plusmn19
9ab
US5
610plusmn13
7ab
700plusmn14
1ab280
plusmn18
7c310plusmn16
6c320
plusmn215
bc320
plusmn210
bc320
plusmn210
b410plusmn260
cdef
310plusmn19
7e
S1520
plusmn092
abcd
520
plusmn114c
de590
plusmn110a
b580
plusmn12
3ab
510plusmn213
abc
500
plusmn14
9ab
510plusmn16
0a570
plusmn16
4abc
550
plusmn14
3ab
S2450
plusmn085
cd510plusmn099
de590
plusmn15
2ab
590
plusmn088
ab540
plusmn18
4a560
plusmn16
5a510plusmn14
5a600
plusmn17
6ab
550
plusmn12
7ab
S3620
plusmn15
5ab
650
plusmn14
3abc
570
plusmn16
4ab
550
plusmn18
4ab
440
plusmn18
4abc
470
plusmn216
abc
400
plusmn17
6ab
430
plusmn18
9bcdef
490
plusmn14
5abcd
S4510plusmn238
abcd
420
plusmn210
ef600
plusmn17
6ab
450
plusmn207
abc
410plusmn300
abc
410plusmn228
abc
390
plusmn19
7ab
290
plusmn17
3f350
plusmn14
3de
S5590
plusmn15
2abc
530
plusmn15
7cde
480
plusmn18
7b430
plusmn241
bc420
plusmn316
abc
420
plusmn230
abc
360
plusmn17
8ab
370
plusmn216
def
420
plusmn16
9bcde
S6480
plusmn114b
cd490
plusmn13
7def
550
plusmn10
8b520
plusmn079
ab460
plusmn12
6abc
500
plusmn094
ab540
plusmn10
7a640
plusmn117a
530
plusmn095
ab
S7540
plusmn097
abcd
550
plusmn097
cde
600
plusmn15
6ab
570
plusmn13
4ab
520
plusmn14
0ab
510plusmn14
5a520
plusmn12
3a500
plusmn13
3abcde
510plusmn16
6abc
andashf M
eanvalues
with
different
superscriptsin
thes
amec
olum
nares
ignificantly
different
(119875lt005)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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International Journal of
Volume 2014
Zoology
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Molecular Biology International
GenomicsInternational Journal of
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BioinformaticsAdvances in
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International Journal of
Microbiology
![Page 2: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/2.jpg)
2 BioMed Research International
Tasteless
Sweet
SourBitter
Savory
TryingUnpleasant
Astringent
Musty
BitterHard
Flavor
Savory Aromatic
Taste
Relish
Tart
Vinegary
Sour
Chilly
Sweet-flavored
NiceGratifyingTasty
Sugary
Clean taste Honey like
SpicyFlavorless
Unpleasant-tasting
Dull SharpUnpalatable Flat
UnsavoryUnpleasant
Very hot
Peppery
HotIll-tasting
Insipid
PungentTasteless
Acidic
Disgusting
Figure 1 Type of taste information
on themakingmaterials heatingmethods andNuruk aswellas the produced area [3] In order for this drink to maintainits quality characteristics Makgeolli has to be heated at 62ndash65∘C for 30 minutes preventing the drink from being alteredfor a long period of time to be able to keep its flavor andbalanced taste SterilizedMakgeolli however has weaknessessuch as death of useful microbes heated flavor and a feelingof refreshment [3 4]
This paper therefore concentrates on the elicitation ofregional properties found in Makgeolli through the tastecorrelation between the electroencephalographic data ofsensual test and taste biological sensor data
Accordingly by analyzing correlation of physicochemicalanalysis and sensory evaluation of Makgeolli with TS-5000zanalysis results and by comparing analyzed results of brain-waves of panels based on such findings it showed that it hasthe capability to replace the sensory evaluation as a scale ifcomplementary scale is proposed for the analyzed results ofTS-5000z
2 Related Works
21 Taste-Adjectives The taste is often described as a sensoryreaction that is caused by the chemical stimulus In order torecognize the taste materials are firstly dissolved in the salivathat stimulates gustatory cells hence signaling the cerebrumHereafter the activity takes about a minute to taste Aftereating the food the taste lingers for 30 seconds
Scale describing and introducing a particular product inqualitative and quantitativemeasures is called a scalemethodFour basic tastes in Figure 1 are the baseline for dimensionsin accordance with ldquoimputed characteristic to a certain taste[5 6]rdquo
Here the closer the concept of a particular adjective is toa traditional taste the closer that concept gets to the baselineHowever it is difficult to argue this type of ordering as itis affiliated with dimensions in accordance with imputedcharacteristic to a certain taste
Since quantitative description is defined with character-istics and intensity of appearance smell taste and physicalproperties of a particular product it is typical to understandtaste in terms of physiological base and taste-adjectivesformed in its semantics
There is a point to consider when classifying the prop-erties of Makgeolli although a certain taste of its propertyis generally classified as good it can still be recognizedas unpleasant if it shows more than the required specificconcentration
22 Clustering Algorithm Taste evaluation scale develop-ment using adjective pairs is extremely small and althoughthere have been cases of using food taste as evaluation scaleit proved to be unsuccessful In order to develop adjectivescale that is to be used in qualitative sensory evaluation ofactual taste it is necessary to use correlation of adjectivesto analyze factor analysis and congregation analysis andcongregate adjectives expressing positive taste negative tastefood texture and heat level In general congregation isdefined as follows
Let us say that the sample 119878 = 1199091 1199092 119909
119899 is given
which satisfies the below conditional equation a subset of119862 =
1198781 1198782 119878
119888
119878119894= (119894 = 1 119888)
119878119894cap 119878119895= (119894 119895 = 1 119888 119894 = 119895)
119888
⋃
119894=1
= 119878
(1)
Affiliated variables are defined in expression (2) andcongregationl number in expression (3) Each congregationuses variables that show the degree of affiliation Affiliatedvariable mij shows the degree of affiliation of 119909
119894toward 119909
119895
BioMed Research International 3
Affiliated variables should satisfy the following conditionalequation
0 le 119898119894119895le 1
119896
sum
119895=1
119898119894119895= 1
119873
sum
119894=1
119898119894119895lt 119873
(2)
Stirling number may be utilized to count different typesof congregations Stirling number is a conditional numberfrom dividing objects of119873 onto 119870 group Therefore Stirlingnumber can be defined cyclic expression as follows
119878 (119873119873) = 1 119896 = 1 or 119873
otherwise
119878 (119873 119896) = 119878 (119873 minus 1 119896 minus 1) + 119896119878 (119873 minus 1 119896)
(3)
In this paper termite colony algorithm is used tocongregate adjectives used to describe Makgeolli Termitecolony algorithm is based on the probability value of termitebehavior The aim is to find a suitable initial congregationrequired for 119896-means congregation using termite colonyalgorithmThrough termite search estimating sample densitywithin congregation is possible and this estimated initialset suitable for density influences congregational functions(Algorithm 1)
23 Samples and Analysis Biometrics With the purposeof experimenting 12 commercialized Makgeolli samples(unsterilized = 5 sterilized = 7) produced in South Koreawere purchased and maintained at 4∘C refrigerator The fiveunsterilized commercialMakgeolli samples were categorizedas US1 US2 US3 US4 and US5 On the other hand sevensterilized samples were categorized as S1 S2 S3 S4 S5 S6and S7 [7]
The physicochemical qualities ofMakgeolli samples suchas pH aminotype nitrogen titratable acidity and solublesolid contents were tested [8 9] In the case of sensory testinggraduate and undergraduate students (119899 = 25) from theDepartment of Food Science and Technology in ChonbukNational University were introduced with the objective andmethodology prior to the test The samples were tested usinga 9-point hedonic scale ranging from ldquoreally likerdquo (scale 9) toldquoreally dislikerdquo (scale 1) Properties like turbidity color flavorsweetness sourness bitterness thickness cooling sensationand balance were evaluated for the sensory test [9]
The data was treated using the statistical analysis system(SAS 1998) package software for the analysis of variance andDuncanrsquos test All analyses were conducted in triplicate exceptfor the sensory test that was measured by 25 students Thestatistical significance was established at 119875 lt 005
24 Brainwaves Brainwave research with regard to humanemotional change has been relatively developed This
Higharousal
Highpositiveaffective
Positive
LowpositiveaffectiveLow
arousal
Lownegativeaffective
Negative
Highnegativeaffective
NervousAfraid
FuriousAlarmed Astonished
Excited
HappyJoy
Pleased
NeutralSerene
CalmRelaxed
SleepySluggish
Unpleased
SadDisappointed
Figure 2 Valence-arousal emotional model
research used a dimensional approach derived from thecognitive theories which determines a personrsquos state ofmind in terms of dimension The common dimensions aredetermined through two types the valence of emotionreflecting either positive or negative emotions and thearousal level of emotion reflecting either active or passiveemotion [6 8] Figure 2 is a 2D valence-arousal emotionalmodel The model shows more diversified and generalizedexpressions compared to discrete emotion approaches
EEG (electroencephalogram) is a brain activity classifiedwith brainwaves that emit electric flow which is generatedwhen signals are sent out into the cerebral nerves through thenervous system When measuring brainwaves it is possibleto obtain an exceptionally complicated type of analoguewaveform as seen in the valence-arousal emotional modelIt is considered as the raw data of EEG The raw dataafterwards were transformed into digital data [10]Thedigitaldata subsequently were transformed into a power spectrumwhereas it was also utilized for data analysis
Power spectral analysis is a mathematical approachemployed in order to quantify EEG It does not howeverprovide a biophysical model of the EEG generation Thepurpose of the analysis is for the decomposition of signals intoits constituting frequency components (eg EEG) FFT (fastFourier transform) on the other hand is known as a widelyusedmethod in acquiring data such as the EEG spectrum [11ndash13]
FFT algorithm describes signals as linear superpositionof Sines and Cosines characterized by their frequency in theequation as seen below expression (4) Consider
119909 (119905) = int
+infin
minusinfin
119883(119891) 1198901198942120587119891119905
119889119891 (4)
The power spectrum also known as power densityspectrum demonstrates the distribution of power or varianceover the frequency components of a signal It is also knownas a Fourier transform of the autocorrelation function
4 BioMed Research International
Input setting of termite cluster valueOutput The initial cluster 119885 = 119911
1
1199112
1199116
initial value termite clusterBegin
119909mean = [max (119909119894
) minusmin(119909119894
)] 2 center point of the entire sample119910mean = [max (119910
119894
) minusmin(119910119894
)] 2
while (TRUE) Termite Search Path() probability path searchif (119905119894
=1003816100381610038161003816(1199091198996) 2
1003816100381610038161003816) break 119905119894 termite colony 1003816100381610038161003816(1199091198996) 21003816100381610038161003816 sample space density
for (119895 = 1 to 7) Swap (119911
119894
119905119894
) swap 119911119894
to 119905119894
1199117
= 119909mean 119910mean assign center point of entire sample space to 1199117
Initial 119885() initialize the colony of number of 119896
119885 = 1199111
1199112
1199117
while (TRUE) for (119894 = 1 to 119899) 119909
119894
position at the nearest cluster centerif (old 119885 = new 119885) break compare with the previous cluster centerfor (119895 = 1 to 119896) 119911
119894
replace 119911119895
setting cluster center
End
Algorithm 1 TCA119870-meanrsquos algorithm
Table 1 Type and feature of brainwaves
Type Frequency Normality120575 (delta) 05sim4Hz Hypnoidal120579 (theta) 4sim7Hz Slow wave sleep120572 (alpha) 8sim12Hz Stable waveMid-120573 (midbeta) 16sim20Hz Concentrate stable wave120573 (beta) 21sim30Hz Action stress wave120574 (gamma) 30sim50Hz Arousal and excitement
The degree of the brain activity causes the shape of brain-waves to react differently If the brain works more actively itproduces a wider frequency bandwidth of brainwaves as seenin Table 1
One of the most used methods in the analysis of brain-waves is the power spectrum analysis [12 13] This studyhence mainly utilized the power spectrum analysis since itis a remarkably adequate method in terms of the time seriesfrequency analysis of the raw data
3 Experimental Results and Discussion
31 Representative Taste-Adjective Before evaluating eightdifferent types of Makgeolli purchased locally through sen-sory evaluation and TS-5000z taste sensor there was littlepreliminary work that needs to be done First was theselection of Makgeolli that sells the most locally Secondlyget 20 students to sort out 87 taste-adjectives that were usedon Internet and in Korean dictionary Thirdly out of the87 selected taste-adjectives 45 of them were sorted out andwere placed into final four categories Lastly through factor
term
s
87 M
akgeolli
taste
-adj
ectiv
es Factor
Clustering
Multidimension
AnalysisSweet sweet clean taste honey like
Sour sour chilly
Bitter astringent bitter musty
Savory savory aromatic
Makgeollis
Figure 3 Four catalog ofMakgeolli taste-adjectives
analysis and congregation algorithm as well as multidimen-sional analysis we extracted 12 taste-adjectives forMakgeolliThe processed result is shown in Figure 3
The outcome of the experiment leads into four represen-tativeMakgeolli-adjectives describing taste sweet sour bitterand savory
As shown above among various Makgeolli types inadjective dimension finding theMakgeolli that is preferred byforeigners should help narrowing down the taste dimensionof Makgeolli from adjective dimension for exporting theproduct globally
32 Physicochemical Characteristics of Makgeolli The pHlevel ofMakgeolli as an alcoholic drink is a significant factorfor its preservation and fermentation process The pH of S1Makgeolli sample as seen in Figure 4 had the lowest levelwith 388 while that of S4 sample had the highest pH with449
Titratable acidity on the other hand serves as a vitalindicator influencing the taste and flavor of a drink Thelactic acid bacteria and yeast found in Makgeolli produce
BioMed Research International 5
000
150
300
450
600
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7
Nonsterilized Sterilized
pH
Sample
Figure 4 pH of 12Makgeolli samples produced in South Korea
000
015
030
045
060
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Titr
atab
le ac
tivity
()
Sample
Figure 5 Titratable acidity of 12 Makgeolli samples produced inSouth Korea
organic acid that can be increased within the process offermentation [14] The result in Figure 5 shows that thetitratable acid content of the S4 sample (sterilized) had thelowest percentage with 017 Meanwhile the US3 which got056 percent had the highest percentage within the samples
The aminotype nitrogen contents were illustrated inFigure 6 resulting with US3 (sterilized) with 8619mg beingthe highest among the samples while the other samplesranged from 1308 to 3106mg
In Figure 7 the soluble solid contents of US3 (unsteril-ized) S1 and S3 (sterilized) obtained 147 64 and 61∘Brix
33 Sensory Test on Domestic Makgeolli Samples UsingTaste Biological Sensor Taste biological sensor an electronicequipment has a similar structure as the taste bud of ahuman tongue and detects taste ingredient which is sent to acomputer in corresponding electrical signal which compilesdata
The taste was analyzed using TS-5000z a taste biologicalsensor from Japan An available taste biological sensor systemfound in Daesang Research Center from Incheon Korea was
00
200
400
600
800
1000
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Am
ino
nitro
gen
(mg
)
Sample
Figure 6 Aminotype nitrogen contents of 12 Makgeolli samplesproduced in South Korea
00
50
100
150
200
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Sample
∘ Brix
Figure 7 Soluble solid contents of 12 Makgeolli samples producedin South Korea
used for equipment testing as seen in Figure 8 The systemconsists of five taste biological sensors namely sournessumami bitterness saltiness and astringencyThere were alsothree aftertaste sensors classified as bitterness astringencyand umami [15]
The method for converting multidimensional data mea-sured by TS-5000z to a taste form recognized by human isimportant In other words the required implementation ofmapping function of four (4) adjective scales of Makgeolliabstracted and measured from TS-5000z and in order toverify these brainwaves of panels are used as in Figure 9
In this paper eight different types of Makgeolli havebeen purchased that are currently sold locally to analyzephysicochemical andmicrobiological properties Afterwardsa 9-point scale sensory evaluation is conducted and usingeight types of Makgeolli evaluated by these panels multidi-mensional data has been created from TS-5000z and studiedthrough mapping function
Using the statistical analysis system (SAS 1998) packagesoftware the data was analyzed for the analysis of varianceand Duncanrsquos test All analyses were carried out in triplicate
6 BioMed Research International
00408
DA
OA
DOP
Bitter taste patterning
1310
Sour taste patterning
31030
31030
Umami taste patterning
minus08
minus04
[9 1][3 7]lowast
[5 5]lowast [5 5]lowast [5 5]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
16-channel high inputimpedance amplifier
MultichannelAD converter
Polymer membrane electrode
Reference electrode(orion double junction reference electrode)
Outer buffer solution
Stirrer
Figure 8 Taste biological sensor (TS-5000z) and multidimensional data
Mappingfunction
Vector value
+
+
Humansensory
tastedate
Bitter
Sour
Salt
Sweet
y
y
Tastebiological
sensor
Trainedmappingfunction
Sour
Sweet
Savory
Bitter sour andumami taste data
Bitter sour andumami taste data
TS-5000z dataTS-5000z data
TS-5000z
Figure 9 Structure of learning process
with the exception of the sensory evaluation that was mea-sured by 12 determinations The significance was establishedat 119875 lt 005
The results on the 12 domestic Makgeolli samples usingthe taste biological sensor system were shown in Table 2 Thesamples US2 (600plusmn211) US4 (580plusmn199) S1 (550 plusmn 143)
and S2 (550 plusmn 127) were significantly high in balanceMoreover the samples S6 S2 and S1 (sterilized) scored higherwith 640 600 and 570 compared to other samples Thesignificant differences were not observed between sterilizedand unsterilized samples in balance scores of sensory testwithin the use of this system
BioMed Research International 7
Table2Sensorytestof
12Makgeollisamples
prod
uced
inSouthKo
reau
singtaste
biologicalsensor
Samples
Turbidity
Color
Flavor
Sweetness
Sourness
Bitte
rness
Thickn
ess
Coo
lingsensation
Balance
US1
590
plusmn110a
bc600
plusmn082
bcd
550
plusmn10
8b470
plusmn12
5abc
520
plusmn16
9ab
560
plusmn15
1a510plusmn074
a610plusmn110a
b510plusmn110a
bc
US2
650
plusmn19
6a76
0plusmn14
3a710plusmn12
0a580
plusmn19
3ab
580
plusmn16
9a570
plusmn17
7a500
plusmn231
ab540
plusmn17
1abcd
600
plusmn211
a
US3
430
plusmn14
9d370
plusmn18
3f490
plusmn17
9b340
plusmn15
8c300
plusmn15
6c310plusmn12
9c450
plusmn246
ab320
plusmn210
ef370
plusmn13
4cde
US4
660
plusmn232
a75
0plusmn10
8a710plusmn088
a610plusmn202
a560
plusmn250
a540
plusmn237
a450
plusmn201
ab520
plusmn225
abcd
580
plusmn19
9ab
US5
610plusmn13
7ab
700plusmn14
1ab280
plusmn18
7c310plusmn16
6c320
plusmn215
bc320
plusmn210
bc320
plusmn210
b410plusmn260
cdef
310plusmn19
7e
S1520
plusmn092
abcd
520
plusmn114c
de590
plusmn110a
b580
plusmn12
3ab
510plusmn213
abc
500
plusmn14
9ab
510plusmn16
0a570
plusmn16
4abc
550
plusmn14
3ab
S2450
plusmn085
cd510plusmn099
de590
plusmn15
2ab
590
plusmn088
ab540
plusmn18
4a560
plusmn16
5a510plusmn14
5a600
plusmn17
6ab
550
plusmn12
7ab
S3620
plusmn15
5ab
650
plusmn14
3abc
570
plusmn16
4ab
550
plusmn18
4ab
440
plusmn18
4abc
470
plusmn216
abc
400
plusmn17
6ab
430
plusmn18
9bcdef
490
plusmn14
5abcd
S4510plusmn238
abcd
420
plusmn210
ef600
plusmn17
6ab
450
plusmn207
abc
410plusmn300
abc
410plusmn228
abc
390
plusmn19
7ab
290
plusmn17
3f350
plusmn14
3de
S5590
plusmn15
2abc
530
plusmn15
7cde
480
plusmn18
7b430
plusmn241
bc420
plusmn316
abc
420
plusmn230
abc
360
plusmn17
8ab
370
plusmn216
def
420
plusmn16
9bcde
S6480
plusmn114b
cd490
plusmn13
7def
550
plusmn10
8b520
plusmn079
ab460
plusmn12
6abc
500
plusmn094
ab540
plusmn10
7a640
plusmn117a
530
plusmn095
ab
S7540
plusmn097
abcd
550
plusmn097
cde
600
plusmn15
6ab
570
plusmn13
4ab
520
plusmn14
0ab
510plusmn14
5a520
plusmn12
3a500
plusmn13
3abcde
510plusmn16
6abc
andashf M
eanvalues
with
different
superscriptsin
thes
amec
olum
nares
ignificantly
different
(119875lt005)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Virolog y
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International Journal of
Microbiology
![Page 3: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/3.jpg)
BioMed Research International 3
Affiliated variables should satisfy the following conditionalequation
0 le 119898119894119895le 1
119896
sum
119895=1
119898119894119895= 1
119873
sum
119894=1
119898119894119895lt 119873
(2)
Stirling number may be utilized to count different typesof congregations Stirling number is a conditional numberfrom dividing objects of119873 onto 119870 group Therefore Stirlingnumber can be defined cyclic expression as follows
119878 (119873119873) = 1 119896 = 1 or 119873
otherwise
119878 (119873 119896) = 119878 (119873 minus 1 119896 minus 1) + 119896119878 (119873 minus 1 119896)
(3)
In this paper termite colony algorithm is used tocongregate adjectives used to describe Makgeolli Termitecolony algorithm is based on the probability value of termitebehavior The aim is to find a suitable initial congregationrequired for 119896-means congregation using termite colonyalgorithmThrough termite search estimating sample densitywithin congregation is possible and this estimated initialset suitable for density influences congregational functions(Algorithm 1)
23 Samples and Analysis Biometrics With the purposeof experimenting 12 commercialized Makgeolli samples(unsterilized = 5 sterilized = 7) produced in South Koreawere purchased and maintained at 4∘C refrigerator The fiveunsterilized commercialMakgeolli samples were categorizedas US1 US2 US3 US4 and US5 On the other hand sevensterilized samples were categorized as S1 S2 S3 S4 S5 S6and S7 [7]
The physicochemical qualities ofMakgeolli samples suchas pH aminotype nitrogen titratable acidity and solublesolid contents were tested [8 9] In the case of sensory testinggraduate and undergraduate students (119899 = 25) from theDepartment of Food Science and Technology in ChonbukNational University were introduced with the objective andmethodology prior to the test The samples were tested usinga 9-point hedonic scale ranging from ldquoreally likerdquo (scale 9) toldquoreally dislikerdquo (scale 1) Properties like turbidity color flavorsweetness sourness bitterness thickness cooling sensationand balance were evaluated for the sensory test [9]
The data was treated using the statistical analysis system(SAS 1998) package software for the analysis of variance andDuncanrsquos test All analyses were conducted in triplicate exceptfor the sensory test that was measured by 25 students Thestatistical significance was established at 119875 lt 005
24 Brainwaves Brainwave research with regard to humanemotional change has been relatively developed This
Higharousal
Highpositiveaffective
Positive
LowpositiveaffectiveLow
arousal
Lownegativeaffective
Negative
Highnegativeaffective
NervousAfraid
FuriousAlarmed Astonished
Excited
HappyJoy
Pleased
NeutralSerene
CalmRelaxed
SleepySluggish
Unpleased
SadDisappointed
Figure 2 Valence-arousal emotional model
research used a dimensional approach derived from thecognitive theories which determines a personrsquos state ofmind in terms of dimension The common dimensions aredetermined through two types the valence of emotionreflecting either positive or negative emotions and thearousal level of emotion reflecting either active or passiveemotion [6 8] Figure 2 is a 2D valence-arousal emotionalmodel The model shows more diversified and generalizedexpressions compared to discrete emotion approaches
EEG (electroencephalogram) is a brain activity classifiedwith brainwaves that emit electric flow which is generatedwhen signals are sent out into the cerebral nerves through thenervous system When measuring brainwaves it is possibleto obtain an exceptionally complicated type of analoguewaveform as seen in the valence-arousal emotional modelIt is considered as the raw data of EEG The raw dataafterwards were transformed into digital data [10]Thedigitaldata subsequently were transformed into a power spectrumwhereas it was also utilized for data analysis
Power spectral analysis is a mathematical approachemployed in order to quantify EEG It does not howeverprovide a biophysical model of the EEG generation Thepurpose of the analysis is for the decomposition of signals intoits constituting frequency components (eg EEG) FFT (fastFourier transform) on the other hand is known as a widelyusedmethod in acquiring data such as the EEG spectrum [11ndash13]
FFT algorithm describes signals as linear superpositionof Sines and Cosines characterized by their frequency in theequation as seen below expression (4) Consider
119909 (119905) = int
+infin
minusinfin
119883(119891) 1198901198942120587119891119905
119889119891 (4)
The power spectrum also known as power densityspectrum demonstrates the distribution of power or varianceover the frequency components of a signal It is also knownas a Fourier transform of the autocorrelation function
4 BioMed Research International
Input setting of termite cluster valueOutput The initial cluster 119885 = 119911
1
1199112
1199116
initial value termite clusterBegin
119909mean = [max (119909119894
) minusmin(119909119894
)] 2 center point of the entire sample119910mean = [max (119910
119894
) minusmin(119910119894
)] 2
while (TRUE) Termite Search Path() probability path searchif (119905119894
=1003816100381610038161003816(1199091198996) 2
1003816100381610038161003816) break 119905119894 termite colony 1003816100381610038161003816(1199091198996) 21003816100381610038161003816 sample space density
for (119895 = 1 to 7) Swap (119911
119894
119905119894
) swap 119911119894
to 119905119894
1199117
= 119909mean 119910mean assign center point of entire sample space to 1199117
Initial 119885() initialize the colony of number of 119896
119885 = 1199111
1199112
1199117
while (TRUE) for (119894 = 1 to 119899) 119909
119894
position at the nearest cluster centerif (old 119885 = new 119885) break compare with the previous cluster centerfor (119895 = 1 to 119896) 119911
119894
replace 119911119895
setting cluster center
End
Algorithm 1 TCA119870-meanrsquos algorithm
Table 1 Type and feature of brainwaves
Type Frequency Normality120575 (delta) 05sim4Hz Hypnoidal120579 (theta) 4sim7Hz Slow wave sleep120572 (alpha) 8sim12Hz Stable waveMid-120573 (midbeta) 16sim20Hz Concentrate stable wave120573 (beta) 21sim30Hz Action stress wave120574 (gamma) 30sim50Hz Arousal and excitement
The degree of the brain activity causes the shape of brain-waves to react differently If the brain works more actively itproduces a wider frequency bandwidth of brainwaves as seenin Table 1
One of the most used methods in the analysis of brain-waves is the power spectrum analysis [12 13] This studyhence mainly utilized the power spectrum analysis since itis a remarkably adequate method in terms of the time seriesfrequency analysis of the raw data
3 Experimental Results and Discussion
31 Representative Taste-Adjective Before evaluating eightdifferent types of Makgeolli purchased locally through sen-sory evaluation and TS-5000z taste sensor there was littlepreliminary work that needs to be done First was theselection of Makgeolli that sells the most locally Secondlyget 20 students to sort out 87 taste-adjectives that were usedon Internet and in Korean dictionary Thirdly out of the87 selected taste-adjectives 45 of them were sorted out andwere placed into final four categories Lastly through factor
term
s
87 M
akgeolli
taste
-adj
ectiv
es Factor
Clustering
Multidimension
AnalysisSweet sweet clean taste honey like
Sour sour chilly
Bitter astringent bitter musty
Savory savory aromatic
Makgeollis
Figure 3 Four catalog ofMakgeolli taste-adjectives
analysis and congregation algorithm as well as multidimen-sional analysis we extracted 12 taste-adjectives forMakgeolliThe processed result is shown in Figure 3
The outcome of the experiment leads into four represen-tativeMakgeolli-adjectives describing taste sweet sour bitterand savory
As shown above among various Makgeolli types inadjective dimension finding theMakgeolli that is preferred byforeigners should help narrowing down the taste dimensionof Makgeolli from adjective dimension for exporting theproduct globally
32 Physicochemical Characteristics of Makgeolli The pHlevel ofMakgeolli as an alcoholic drink is a significant factorfor its preservation and fermentation process The pH of S1Makgeolli sample as seen in Figure 4 had the lowest levelwith 388 while that of S4 sample had the highest pH with449
Titratable acidity on the other hand serves as a vitalindicator influencing the taste and flavor of a drink Thelactic acid bacteria and yeast found in Makgeolli produce
BioMed Research International 5
000
150
300
450
600
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7
Nonsterilized Sterilized
pH
Sample
Figure 4 pH of 12Makgeolli samples produced in South Korea
000
015
030
045
060
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Titr
atab
le ac
tivity
()
Sample
Figure 5 Titratable acidity of 12 Makgeolli samples produced inSouth Korea
organic acid that can be increased within the process offermentation [14] The result in Figure 5 shows that thetitratable acid content of the S4 sample (sterilized) had thelowest percentage with 017 Meanwhile the US3 which got056 percent had the highest percentage within the samples
The aminotype nitrogen contents were illustrated inFigure 6 resulting with US3 (sterilized) with 8619mg beingthe highest among the samples while the other samplesranged from 1308 to 3106mg
In Figure 7 the soluble solid contents of US3 (unsteril-ized) S1 and S3 (sterilized) obtained 147 64 and 61∘Brix
33 Sensory Test on Domestic Makgeolli Samples UsingTaste Biological Sensor Taste biological sensor an electronicequipment has a similar structure as the taste bud of ahuman tongue and detects taste ingredient which is sent to acomputer in corresponding electrical signal which compilesdata
The taste was analyzed using TS-5000z a taste biologicalsensor from Japan An available taste biological sensor systemfound in Daesang Research Center from Incheon Korea was
00
200
400
600
800
1000
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Am
ino
nitro
gen
(mg
)
Sample
Figure 6 Aminotype nitrogen contents of 12 Makgeolli samplesproduced in South Korea
00
50
100
150
200
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Sample
∘ Brix
Figure 7 Soluble solid contents of 12 Makgeolli samples producedin South Korea
used for equipment testing as seen in Figure 8 The systemconsists of five taste biological sensors namely sournessumami bitterness saltiness and astringencyThere were alsothree aftertaste sensors classified as bitterness astringencyand umami [15]
The method for converting multidimensional data mea-sured by TS-5000z to a taste form recognized by human isimportant In other words the required implementation ofmapping function of four (4) adjective scales of Makgeolliabstracted and measured from TS-5000z and in order toverify these brainwaves of panels are used as in Figure 9
In this paper eight different types of Makgeolli havebeen purchased that are currently sold locally to analyzephysicochemical andmicrobiological properties Afterwardsa 9-point scale sensory evaluation is conducted and usingeight types of Makgeolli evaluated by these panels multidi-mensional data has been created from TS-5000z and studiedthrough mapping function
Using the statistical analysis system (SAS 1998) packagesoftware the data was analyzed for the analysis of varianceand Duncanrsquos test All analyses were carried out in triplicate
6 BioMed Research International
00408
DA
OA
DOP
Bitter taste patterning
1310
Sour taste patterning
31030
31030
Umami taste patterning
minus08
minus04
[9 1][3 7]lowast
[5 5]lowast [5 5]lowast [5 5]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
16-channel high inputimpedance amplifier
MultichannelAD converter
Polymer membrane electrode
Reference electrode(orion double junction reference electrode)
Outer buffer solution
Stirrer
Figure 8 Taste biological sensor (TS-5000z) and multidimensional data
Mappingfunction
Vector value
+
+
Humansensory
tastedate
Bitter
Sour
Salt
Sweet
y
y
Tastebiological
sensor
Trainedmappingfunction
Sour
Sweet
Savory
Bitter sour andumami taste data
Bitter sour andumami taste data
TS-5000z dataTS-5000z data
TS-5000z
Figure 9 Structure of learning process
with the exception of the sensory evaluation that was mea-sured by 12 determinations The significance was establishedat 119875 lt 005
The results on the 12 domestic Makgeolli samples usingthe taste biological sensor system were shown in Table 2 Thesamples US2 (600plusmn211) US4 (580plusmn199) S1 (550 plusmn 143)
and S2 (550 plusmn 127) were significantly high in balanceMoreover the samples S6 S2 and S1 (sterilized) scored higherwith 640 600 and 570 compared to other samples Thesignificant differences were not observed between sterilizedand unsterilized samples in balance scores of sensory testwithin the use of this system
BioMed Research International 7
Table2Sensorytestof
12Makgeollisamples
prod
uced
inSouthKo
reau
singtaste
biologicalsensor
Samples
Turbidity
Color
Flavor
Sweetness
Sourness
Bitte
rness
Thickn
ess
Coo
lingsensation
Balance
US1
590
plusmn110a
bc600
plusmn082
bcd
550
plusmn10
8b470
plusmn12
5abc
520
plusmn16
9ab
560
plusmn15
1a510plusmn074
a610plusmn110a
b510plusmn110a
bc
US2
650
plusmn19
6a76
0plusmn14
3a710plusmn12
0a580
plusmn19
3ab
580
plusmn16
9a570
plusmn17
7a500
plusmn231
ab540
plusmn17
1abcd
600
plusmn211
a
US3
430
plusmn14
9d370
plusmn18
3f490
plusmn17
9b340
plusmn15
8c300
plusmn15
6c310plusmn12
9c450
plusmn246
ab320
plusmn210
ef370
plusmn13
4cde
US4
660
plusmn232
a75
0plusmn10
8a710plusmn088
a610plusmn202
a560
plusmn250
a540
plusmn237
a450
plusmn201
ab520
plusmn225
abcd
580
plusmn19
9ab
US5
610plusmn13
7ab
700plusmn14
1ab280
plusmn18
7c310plusmn16
6c320
plusmn215
bc320
plusmn210
bc320
plusmn210
b410plusmn260
cdef
310plusmn19
7e
S1520
plusmn092
abcd
520
plusmn114c
de590
plusmn110a
b580
plusmn12
3ab
510plusmn213
abc
500
plusmn14
9ab
510plusmn16
0a570
plusmn16
4abc
550
plusmn14
3ab
S2450
plusmn085
cd510plusmn099
de590
plusmn15
2ab
590
plusmn088
ab540
plusmn18
4a560
plusmn16
5a510plusmn14
5a600
plusmn17
6ab
550
plusmn12
7ab
S3620
plusmn15
5ab
650
plusmn14
3abc
570
plusmn16
4ab
550
plusmn18
4ab
440
plusmn18
4abc
470
plusmn216
abc
400
plusmn17
6ab
430
plusmn18
9bcdef
490
plusmn14
5abcd
S4510plusmn238
abcd
420
plusmn210
ef600
plusmn17
6ab
450
plusmn207
abc
410plusmn300
abc
410plusmn228
abc
390
plusmn19
7ab
290
plusmn17
3f350
plusmn14
3de
S5590
plusmn15
2abc
530
plusmn15
7cde
480
plusmn18
7b430
plusmn241
bc420
plusmn316
abc
420
plusmn230
abc
360
plusmn17
8ab
370
plusmn216
def
420
plusmn16
9bcde
S6480
plusmn114b
cd490
plusmn13
7def
550
plusmn10
8b520
plusmn079
ab460
plusmn12
6abc
500
plusmn094
ab540
plusmn10
7a640
plusmn117a
530
plusmn095
ab
S7540
plusmn097
abcd
550
plusmn097
cde
600
plusmn15
6ab
570
plusmn13
4ab
520
plusmn14
0ab
510plusmn14
5a520
plusmn12
3a500
plusmn13
3abcde
510plusmn16
6abc
andashf M
eanvalues
with
different
superscriptsin
thes
amec
olum
nares
ignificantly
different
(119875lt005)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
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Volume 2014
Stem CellsInternational
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International Journal of
Microbiology
![Page 4: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/4.jpg)
4 BioMed Research International
Input setting of termite cluster valueOutput The initial cluster 119885 = 119911
1
1199112
1199116
initial value termite clusterBegin
119909mean = [max (119909119894
) minusmin(119909119894
)] 2 center point of the entire sample119910mean = [max (119910
119894
) minusmin(119910119894
)] 2
while (TRUE) Termite Search Path() probability path searchif (119905119894
=1003816100381610038161003816(1199091198996) 2
1003816100381610038161003816) break 119905119894 termite colony 1003816100381610038161003816(1199091198996) 21003816100381610038161003816 sample space density
for (119895 = 1 to 7) Swap (119911
119894
119905119894
) swap 119911119894
to 119905119894
1199117
= 119909mean 119910mean assign center point of entire sample space to 1199117
Initial 119885() initialize the colony of number of 119896
119885 = 1199111
1199112
1199117
while (TRUE) for (119894 = 1 to 119899) 119909
119894
position at the nearest cluster centerif (old 119885 = new 119885) break compare with the previous cluster centerfor (119895 = 1 to 119896) 119911
119894
replace 119911119895
setting cluster center
End
Algorithm 1 TCA119870-meanrsquos algorithm
Table 1 Type and feature of brainwaves
Type Frequency Normality120575 (delta) 05sim4Hz Hypnoidal120579 (theta) 4sim7Hz Slow wave sleep120572 (alpha) 8sim12Hz Stable waveMid-120573 (midbeta) 16sim20Hz Concentrate stable wave120573 (beta) 21sim30Hz Action stress wave120574 (gamma) 30sim50Hz Arousal and excitement
The degree of the brain activity causes the shape of brain-waves to react differently If the brain works more actively itproduces a wider frequency bandwidth of brainwaves as seenin Table 1
One of the most used methods in the analysis of brain-waves is the power spectrum analysis [12 13] This studyhence mainly utilized the power spectrum analysis since itis a remarkably adequate method in terms of the time seriesfrequency analysis of the raw data
3 Experimental Results and Discussion
31 Representative Taste-Adjective Before evaluating eightdifferent types of Makgeolli purchased locally through sen-sory evaluation and TS-5000z taste sensor there was littlepreliminary work that needs to be done First was theselection of Makgeolli that sells the most locally Secondlyget 20 students to sort out 87 taste-adjectives that were usedon Internet and in Korean dictionary Thirdly out of the87 selected taste-adjectives 45 of them were sorted out andwere placed into final four categories Lastly through factor
term
s
87 M
akgeolli
taste
-adj
ectiv
es Factor
Clustering
Multidimension
AnalysisSweet sweet clean taste honey like
Sour sour chilly
Bitter astringent bitter musty
Savory savory aromatic
Makgeollis
Figure 3 Four catalog ofMakgeolli taste-adjectives
analysis and congregation algorithm as well as multidimen-sional analysis we extracted 12 taste-adjectives forMakgeolliThe processed result is shown in Figure 3
The outcome of the experiment leads into four represen-tativeMakgeolli-adjectives describing taste sweet sour bitterand savory
As shown above among various Makgeolli types inadjective dimension finding theMakgeolli that is preferred byforeigners should help narrowing down the taste dimensionof Makgeolli from adjective dimension for exporting theproduct globally
32 Physicochemical Characteristics of Makgeolli The pHlevel ofMakgeolli as an alcoholic drink is a significant factorfor its preservation and fermentation process The pH of S1Makgeolli sample as seen in Figure 4 had the lowest levelwith 388 while that of S4 sample had the highest pH with449
Titratable acidity on the other hand serves as a vitalindicator influencing the taste and flavor of a drink Thelactic acid bacteria and yeast found in Makgeolli produce
BioMed Research International 5
000
150
300
450
600
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7
Nonsterilized Sterilized
pH
Sample
Figure 4 pH of 12Makgeolli samples produced in South Korea
000
015
030
045
060
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Titr
atab
le ac
tivity
()
Sample
Figure 5 Titratable acidity of 12 Makgeolli samples produced inSouth Korea
organic acid that can be increased within the process offermentation [14] The result in Figure 5 shows that thetitratable acid content of the S4 sample (sterilized) had thelowest percentage with 017 Meanwhile the US3 which got056 percent had the highest percentage within the samples
The aminotype nitrogen contents were illustrated inFigure 6 resulting with US3 (sterilized) with 8619mg beingthe highest among the samples while the other samplesranged from 1308 to 3106mg
In Figure 7 the soluble solid contents of US3 (unsteril-ized) S1 and S3 (sterilized) obtained 147 64 and 61∘Brix
33 Sensory Test on Domestic Makgeolli Samples UsingTaste Biological Sensor Taste biological sensor an electronicequipment has a similar structure as the taste bud of ahuman tongue and detects taste ingredient which is sent to acomputer in corresponding electrical signal which compilesdata
The taste was analyzed using TS-5000z a taste biologicalsensor from Japan An available taste biological sensor systemfound in Daesang Research Center from Incheon Korea was
00
200
400
600
800
1000
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Am
ino
nitro
gen
(mg
)
Sample
Figure 6 Aminotype nitrogen contents of 12 Makgeolli samplesproduced in South Korea
00
50
100
150
200
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Sample
∘ Brix
Figure 7 Soluble solid contents of 12 Makgeolli samples producedin South Korea
used for equipment testing as seen in Figure 8 The systemconsists of five taste biological sensors namely sournessumami bitterness saltiness and astringencyThere were alsothree aftertaste sensors classified as bitterness astringencyand umami [15]
The method for converting multidimensional data mea-sured by TS-5000z to a taste form recognized by human isimportant In other words the required implementation ofmapping function of four (4) adjective scales of Makgeolliabstracted and measured from TS-5000z and in order toverify these brainwaves of panels are used as in Figure 9
In this paper eight different types of Makgeolli havebeen purchased that are currently sold locally to analyzephysicochemical andmicrobiological properties Afterwardsa 9-point scale sensory evaluation is conducted and usingeight types of Makgeolli evaluated by these panels multidi-mensional data has been created from TS-5000z and studiedthrough mapping function
Using the statistical analysis system (SAS 1998) packagesoftware the data was analyzed for the analysis of varianceand Duncanrsquos test All analyses were carried out in triplicate
6 BioMed Research International
00408
DA
OA
DOP
Bitter taste patterning
1310
Sour taste patterning
31030
31030
Umami taste patterning
minus08
minus04
[9 1][3 7]lowast
[5 5]lowast [5 5]lowast [5 5]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
16-channel high inputimpedance amplifier
MultichannelAD converter
Polymer membrane electrode
Reference electrode(orion double junction reference electrode)
Outer buffer solution
Stirrer
Figure 8 Taste biological sensor (TS-5000z) and multidimensional data
Mappingfunction
Vector value
+
+
Humansensory
tastedate
Bitter
Sour
Salt
Sweet
y
y
Tastebiological
sensor
Trainedmappingfunction
Sour
Sweet
Savory
Bitter sour andumami taste data
Bitter sour andumami taste data
TS-5000z dataTS-5000z data
TS-5000z
Figure 9 Structure of learning process
with the exception of the sensory evaluation that was mea-sured by 12 determinations The significance was establishedat 119875 lt 005
The results on the 12 domestic Makgeolli samples usingthe taste biological sensor system were shown in Table 2 Thesamples US2 (600plusmn211) US4 (580plusmn199) S1 (550 plusmn 143)
and S2 (550 plusmn 127) were significantly high in balanceMoreover the samples S6 S2 and S1 (sterilized) scored higherwith 640 600 and 570 compared to other samples Thesignificant differences were not observed between sterilizedand unsterilized samples in balance scores of sensory testwithin the use of this system
BioMed Research International 7
Table2Sensorytestof
12Makgeollisamples
prod
uced
inSouthKo
reau
singtaste
biologicalsensor
Samples
Turbidity
Color
Flavor
Sweetness
Sourness
Bitte
rness
Thickn
ess
Coo
lingsensation
Balance
US1
590
plusmn110a
bc600
plusmn082
bcd
550
plusmn10
8b470
plusmn12
5abc
520
plusmn16
9ab
560
plusmn15
1a510plusmn074
a610plusmn110a
b510plusmn110a
bc
US2
650
plusmn19
6a76
0plusmn14
3a710plusmn12
0a580
plusmn19
3ab
580
plusmn16
9a570
plusmn17
7a500
plusmn231
ab540
plusmn17
1abcd
600
plusmn211
a
US3
430
plusmn14
9d370
plusmn18
3f490
plusmn17
9b340
plusmn15
8c300
plusmn15
6c310plusmn12
9c450
plusmn246
ab320
plusmn210
ef370
plusmn13
4cde
US4
660
plusmn232
a75
0plusmn10
8a710plusmn088
a610plusmn202
a560
plusmn250
a540
plusmn237
a450
plusmn201
ab520
plusmn225
abcd
580
plusmn19
9ab
US5
610plusmn13
7ab
700plusmn14
1ab280
plusmn18
7c310plusmn16
6c320
plusmn215
bc320
plusmn210
bc320
plusmn210
b410plusmn260
cdef
310plusmn19
7e
S1520
plusmn092
abcd
520
plusmn114c
de590
plusmn110a
b580
plusmn12
3ab
510plusmn213
abc
500
plusmn14
9ab
510plusmn16
0a570
plusmn16
4abc
550
plusmn14
3ab
S2450
plusmn085
cd510plusmn099
de590
plusmn15
2ab
590
plusmn088
ab540
plusmn18
4a560
plusmn16
5a510plusmn14
5a600
plusmn17
6ab
550
plusmn12
7ab
S3620
plusmn15
5ab
650
plusmn14
3abc
570
plusmn16
4ab
550
plusmn18
4ab
440
plusmn18
4abc
470
plusmn216
abc
400
plusmn17
6ab
430
plusmn18
9bcdef
490
plusmn14
5abcd
S4510plusmn238
abcd
420
plusmn210
ef600
plusmn17
6ab
450
plusmn207
abc
410plusmn300
abc
410plusmn228
abc
390
plusmn19
7ab
290
plusmn17
3f350
plusmn14
3de
S5590
plusmn15
2abc
530
plusmn15
7cde
480
plusmn18
7b430
plusmn241
bc420
plusmn316
abc
420
plusmn230
abc
360
plusmn17
8ab
370
plusmn216
def
420
plusmn16
9bcde
S6480
plusmn114b
cd490
plusmn13
7def
550
plusmn10
8b520
plusmn079
ab460
plusmn12
6abc
500
plusmn094
ab540
plusmn10
7a640
plusmn117a
530
plusmn095
ab
S7540
plusmn097
abcd
550
plusmn097
cde
600
plusmn15
6ab
570
plusmn13
4ab
520
plusmn14
0ab
510plusmn14
5a520
plusmn12
3a500
plusmn13
3abcde
510plusmn16
6abc
andashf M
eanvalues
with
different
superscriptsin
thes
amec
olum
nares
ignificantly
different
(119875lt005)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
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ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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International Journal of
Microbiology
![Page 5: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/5.jpg)
BioMed Research International 5
000
150
300
450
600
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7
Nonsterilized Sterilized
pH
Sample
Figure 4 pH of 12Makgeolli samples produced in South Korea
000
015
030
045
060
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Titr
atab
le ac
tivity
()
Sample
Figure 5 Titratable acidity of 12 Makgeolli samples produced inSouth Korea
organic acid that can be increased within the process offermentation [14] The result in Figure 5 shows that thetitratable acid content of the S4 sample (sterilized) had thelowest percentage with 017 Meanwhile the US3 which got056 percent had the highest percentage within the samples
The aminotype nitrogen contents were illustrated inFigure 6 resulting with US3 (sterilized) with 8619mg beingthe highest among the samples while the other samplesranged from 1308 to 3106mg
In Figure 7 the soluble solid contents of US3 (unsteril-ized) S1 and S3 (sterilized) obtained 147 64 and 61∘Brix
33 Sensory Test on Domestic Makgeolli Samples UsingTaste Biological Sensor Taste biological sensor an electronicequipment has a similar structure as the taste bud of ahuman tongue and detects taste ingredient which is sent to acomputer in corresponding electrical signal which compilesdata
The taste was analyzed using TS-5000z a taste biologicalsensor from Japan An available taste biological sensor systemfound in Daesang Research Center from Incheon Korea was
00
200
400
600
800
1000
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Am
ino
nitro
gen
(mg
)
Sample
Figure 6 Aminotype nitrogen contents of 12 Makgeolli samplesproduced in South Korea
00
50
100
150
200
US1 US2 US3 US4 US5 S1 S2 S3 S4 S5 S6 S7Nonsterilized Sterilized
Sample
∘ Brix
Figure 7 Soluble solid contents of 12 Makgeolli samples producedin South Korea
used for equipment testing as seen in Figure 8 The systemconsists of five taste biological sensors namely sournessumami bitterness saltiness and astringencyThere were alsothree aftertaste sensors classified as bitterness astringencyand umami [15]
The method for converting multidimensional data mea-sured by TS-5000z to a taste form recognized by human isimportant In other words the required implementation ofmapping function of four (4) adjective scales of Makgeolliabstracted and measured from TS-5000z and in order toverify these brainwaves of panels are used as in Figure 9
In this paper eight different types of Makgeolli havebeen purchased that are currently sold locally to analyzephysicochemical andmicrobiological properties Afterwardsa 9-point scale sensory evaluation is conducted and usingeight types of Makgeolli evaluated by these panels multidi-mensional data has been created from TS-5000z and studiedthrough mapping function
Using the statistical analysis system (SAS 1998) packagesoftware the data was analyzed for the analysis of varianceand Duncanrsquos test All analyses were carried out in triplicate
6 BioMed Research International
00408
DA
OA
DOP
Bitter taste patterning
1310
Sour taste patterning
31030
31030
Umami taste patterning
minus08
minus04
[9 1][3 7]lowast
[5 5]lowast [5 5]lowast [5 5]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
16-channel high inputimpedance amplifier
MultichannelAD converter
Polymer membrane electrode
Reference electrode(orion double junction reference electrode)
Outer buffer solution
Stirrer
Figure 8 Taste biological sensor (TS-5000z) and multidimensional data
Mappingfunction
Vector value
+
+
Humansensory
tastedate
Bitter
Sour
Salt
Sweet
y
y
Tastebiological
sensor
Trainedmappingfunction
Sour
Sweet
Savory
Bitter sour andumami taste data
Bitter sour andumami taste data
TS-5000z dataTS-5000z data
TS-5000z
Figure 9 Structure of learning process
with the exception of the sensory evaluation that was mea-sured by 12 determinations The significance was establishedat 119875 lt 005
The results on the 12 domestic Makgeolli samples usingthe taste biological sensor system were shown in Table 2 Thesamples US2 (600plusmn211) US4 (580plusmn199) S1 (550 plusmn 143)
and S2 (550 plusmn 127) were significantly high in balanceMoreover the samples S6 S2 and S1 (sterilized) scored higherwith 640 600 and 570 compared to other samples Thesignificant differences were not observed between sterilizedand unsterilized samples in balance scores of sensory testwithin the use of this system
BioMed Research International 7
Table2Sensorytestof
12Makgeollisamples
prod
uced
inSouthKo
reau
singtaste
biologicalsensor
Samples
Turbidity
Color
Flavor
Sweetness
Sourness
Bitte
rness
Thickn
ess
Coo
lingsensation
Balance
US1
590
plusmn110a
bc600
plusmn082
bcd
550
plusmn10
8b470
plusmn12
5abc
520
plusmn16
9ab
560
plusmn15
1a510plusmn074
a610plusmn110a
b510plusmn110a
bc
US2
650
plusmn19
6a76
0plusmn14
3a710plusmn12
0a580
plusmn19
3ab
580
plusmn16
9a570
plusmn17
7a500
plusmn231
ab540
plusmn17
1abcd
600
plusmn211
a
US3
430
plusmn14
9d370
plusmn18
3f490
plusmn17
9b340
plusmn15
8c300
plusmn15
6c310plusmn12
9c450
plusmn246
ab320
plusmn210
ef370
plusmn13
4cde
US4
660
plusmn232
a75
0plusmn10
8a710plusmn088
a610plusmn202
a560
plusmn250
a540
plusmn237
a450
plusmn201
ab520
plusmn225
abcd
580
plusmn19
9ab
US5
610plusmn13
7ab
700plusmn14
1ab280
plusmn18
7c310plusmn16
6c320
plusmn215
bc320
plusmn210
bc320
plusmn210
b410plusmn260
cdef
310plusmn19
7e
S1520
plusmn092
abcd
520
plusmn114c
de590
plusmn110a
b580
plusmn12
3ab
510plusmn213
abc
500
plusmn14
9ab
510plusmn16
0a570
plusmn16
4abc
550
plusmn14
3ab
S2450
plusmn085
cd510plusmn099
de590
plusmn15
2ab
590
plusmn088
ab540
plusmn18
4a560
plusmn16
5a510plusmn14
5a600
plusmn17
6ab
550
plusmn12
7ab
S3620
plusmn15
5ab
650
plusmn14
3abc
570
plusmn16
4ab
550
plusmn18
4ab
440
plusmn18
4abc
470
plusmn216
abc
400
plusmn17
6ab
430
plusmn18
9bcdef
490
plusmn14
5abcd
S4510plusmn238
abcd
420
plusmn210
ef600
plusmn17
6ab
450
plusmn207
abc
410plusmn300
abc
410plusmn228
abc
390
plusmn19
7ab
290
plusmn17
3f350
plusmn14
3de
S5590
plusmn15
2abc
530
plusmn15
7cde
480
plusmn18
7b430
plusmn241
bc420
plusmn316
abc
420
plusmn230
abc
360
plusmn17
8ab
370
plusmn216
def
420
plusmn16
9bcde
S6480
plusmn114b
cd490
plusmn13
7def
550
plusmn10
8b520
plusmn079
ab460
plusmn12
6abc
500
plusmn094
ab540
plusmn10
7a640
plusmn117a
530
plusmn095
ab
S7540
plusmn097
abcd
550
plusmn097
cde
600
plusmn15
6ab
570
plusmn13
4ab
520
plusmn14
0ab
510plusmn14
5a520
plusmn12
3a500
plusmn13
3abcde
510plusmn16
6abc
andashf M
eanvalues
with
different
superscriptsin
thes
amec
olum
nares
ignificantly
different
(119875lt005)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
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Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
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International Journal of
Microbiology
![Page 6: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/6.jpg)
6 BioMed Research International
00408
DA
OA
DOP
Bitter taste patterning
1310
Sour taste patterning
31030
31030
Umami taste patterning
minus08
minus04
[9 1][3 7]lowast
[5 5]lowast [5 5]lowast [5 5]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
00408
DA
OA
DOPminus08
minus04
[9 1][3 7]lowast
TOMAlowast
OAmlowast
16-channel high inputimpedance amplifier
MultichannelAD converter
Polymer membrane electrode
Reference electrode(orion double junction reference electrode)
Outer buffer solution
Stirrer
Figure 8 Taste biological sensor (TS-5000z) and multidimensional data
Mappingfunction
Vector value
+
+
Humansensory
tastedate
Bitter
Sour
Salt
Sweet
y
y
Tastebiological
sensor
Trainedmappingfunction
Sour
Sweet
Savory
Bitter sour andumami taste data
Bitter sour andumami taste data
TS-5000z dataTS-5000z data
TS-5000z
Figure 9 Structure of learning process
with the exception of the sensory evaluation that was mea-sured by 12 determinations The significance was establishedat 119875 lt 005
The results on the 12 domestic Makgeolli samples usingthe taste biological sensor system were shown in Table 2 Thesamples US2 (600plusmn211) US4 (580plusmn199) S1 (550 plusmn 143)
and S2 (550 plusmn 127) were significantly high in balanceMoreover the samples S6 S2 and S1 (sterilized) scored higherwith 640 600 and 570 compared to other samples Thesignificant differences were not observed between sterilizedand unsterilized samples in balance scores of sensory testwithin the use of this system
BioMed Research International 7
Table2Sensorytestof
12Makgeollisamples
prod
uced
inSouthKo
reau
singtaste
biologicalsensor
Samples
Turbidity
Color
Flavor
Sweetness
Sourness
Bitte
rness
Thickn
ess
Coo
lingsensation
Balance
US1
590
plusmn110a
bc600
plusmn082
bcd
550
plusmn10
8b470
plusmn12
5abc
520
plusmn16
9ab
560
plusmn15
1a510plusmn074
a610plusmn110a
b510plusmn110a
bc
US2
650
plusmn19
6a76
0plusmn14
3a710plusmn12
0a580
plusmn19
3ab
580
plusmn16
9a570
plusmn17
7a500
plusmn231
ab540
plusmn17
1abcd
600
plusmn211
a
US3
430
plusmn14
9d370
plusmn18
3f490
plusmn17
9b340
plusmn15
8c300
plusmn15
6c310plusmn12
9c450
plusmn246
ab320
plusmn210
ef370
plusmn13
4cde
US4
660
plusmn232
a75
0plusmn10
8a710plusmn088
a610plusmn202
a560
plusmn250
a540
plusmn237
a450
plusmn201
ab520
plusmn225
abcd
580
plusmn19
9ab
US5
610plusmn13
7ab
700plusmn14
1ab280
plusmn18
7c310plusmn16
6c320
plusmn215
bc320
plusmn210
bc320
plusmn210
b410plusmn260
cdef
310plusmn19
7e
S1520
plusmn092
abcd
520
plusmn114c
de590
plusmn110a
b580
plusmn12
3ab
510plusmn213
abc
500
plusmn14
9ab
510plusmn16
0a570
plusmn16
4abc
550
plusmn14
3ab
S2450
plusmn085
cd510plusmn099
de590
plusmn15
2ab
590
plusmn088
ab540
plusmn18
4a560
plusmn16
5a510plusmn14
5a600
plusmn17
6ab
550
plusmn12
7ab
S3620
plusmn15
5ab
650
plusmn14
3abc
570
plusmn16
4ab
550
plusmn18
4ab
440
plusmn18
4abc
470
plusmn216
abc
400
plusmn17
6ab
430
plusmn18
9bcdef
490
plusmn14
5abcd
S4510plusmn238
abcd
420
plusmn210
ef600
plusmn17
6ab
450
plusmn207
abc
410plusmn300
abc
410plusmn228
abc
390
plusmn19
7ab
290
plusmn17
3f350
plusmn14
3de
S5590
plusmn15
2abc
530
plusmn15
7cde
480
plusmn18
7b430
plusmn241
bc420
plusmn316
abc
420
plusmn230
abc
360
plusmn17
8ab
370
plusmn216
def
420
plusmn16
9bcde
S6480
plusmn114b
cd490
plusmn13
7def
550
plusmn10
8b520
plusmn079
ab460
plusmn12
6abc
500
plusmn094
ab540
plusmn10
7a640
plusmn117a
530
plusmn095
ab
S7540
plusmn097
abcd
550
plusmn097
cde
600
plusmn15
6ab
570
plusmn13
4ab
520
plusmn14
0ab
510plusmn14
5a520
plusmn12
3a500
plusmn13
3abcde
510plusmn16
6abc
andashf M
eanvalues
with
different
superscriptsin
thes
amec
olum
nares
ignificantly
different
(119875lt005)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
Hindawi Publishing Corporationhttpwwwhindawicom
Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Enzyme Research
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Microbiology
![Page 7: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/7.jpg)
BioMed Research International 7
Table2Sensorytestof
12Makgeollisamples
prod
uced
inSouthKo
reau
singtaste
biologicalsensor
Samples
Turbidity
Color
Flavor
Sweetness
Sourness
Bitte
rness
Thickn
ess
Coo
lingsensation
Balance
US1
590
plusmn110a
bc600
plusmn082
bcd
550
plusmn10
8b470
plusmn12
5abc
520
plusmn16
9ab
560
plusmn15
1a510plusmn074
a610plusmn110a
b510plusmn110a
bc
US2
650
plusmn19
6a76
0plusmn14
3a710plusmn12
0a580
plusmn19
3ab
580
plusmn16
9a570
plusmn17
7a500
plusmn231
ab540
plusmn17
1abcd
600
plusmn211
a
US3
430
plusmn14
9d370
plusmn18
3f490
plusmn17
9b340
plusmn15
8c300
plusmn15
6c310plusmn12
9c450
plusmn246
ab320
plusmn210
ef370
plusmn13
4cde
US4
660
plusmn232
a75
0plusmn10
8a710plusmn088
a610plusmn202
a560
plusmn250
a540
plusmn237
a450
plusmn201
ab520
plusmn225
abcd
580
plusmn19
9ab
US5
610plusmn13
7ab
700plusmn14
1ab280
plusmn18
7c310plusmn16
6c320
plusmn215
bc320
plusmn210
bc320
plusmn210
b410plusmn260
cdef
310plusmn19
7e
S1520
plusmn092
abcd
520
plusmn114c
de590
plusmn110a
b580
plusmn12
3ab
510plusmn213
abc
500
plusmn14
9ab
510plusmn16
0a570
plusmn16
4abc
550
plusmn14
3ab
S2450
plusmn085
cd510plusmn099
de590
plusmn15
2ab
590
plusmn088
ab540
plusmn18
4a560
plusmn16
5a510plusmn14
5a600
plusmn17
6ab
550
plusmn12
7ab
S3620
plusmn15
5ab
650
plusmn14
3abc
570
plusmn16
4ab
550
plusmn18
4ab
440
plusmn18
4abc
470
plusmn216
abc
400
plusmn17
6ab
430
plusmn18
9bcdef
490
plusmn14
5abcd
S4510plusmn238
abcd
420
plusmn210
ef600
plusmn17
6ab
450
plusmn207
abc
410plusmn300
abc
410plusmn228
abc
390
plusmn19
7ab
290
plusmn17
3f350
plusmn14
3de
S5590
plusmn15
2abc
530
plusmn15
7cde
480
plusmn18
7b430
plusmn241
bc420
plusmn316
abc
420
plusmn230
abc
360
plusmn17
8ab
370
plusmn216
def
420
plusmn16
9bcde
S6480
plusmn114b
cd490
plusmn13
7def
550
plusmn10
8b520
plusmn079
ab460
plusmn12
6abc
500
plusmn094
ab540
plusmn10
7a640
plusmn117a
530
plusmn095
ab
S7540
plusmn097
abcd
550
plusmn097
cde
600
plusmn15
6ab
570
plusmn13
4ab
520
plusmn14
0ab
510plusmn14
5a520
plusmn12
3a500
plusmn13
3abcde
510plusmn16
6abc
andashf M
eanvalues
with
different
superscriptsin
thes
amec
olum
nares
ignificantly
different
(119875lt005)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
Hindawi Publishing Corporationhttpwwwhindawicom
Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Enzyme Research
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Microbiology
![Page 8: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/8.jpg)
8 BioMed Research International
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
STD
Nonsterilization
(a)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gangwon-do
(b)
Nonsterilization Sterilization
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Gyeonggi-do
(c)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Gyeongsang-do
(d)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Jeolla-do
(e)
minus10minus8minus6minus4minus20246
Sourness
Bitterness
Astringency
Aftertaste-B
Aftertaste-A
Umami
Richness
Saltiness
Nonsterilization Sterilization
Chungcheong-do
(f)
Figure 10 Taste results by taste biological sensor on 12Makgeolli samples produced in South Korea
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
Hindawi Publishing Corporationhttpwwwhindawicom
Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Enzyme Research
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Microbiology
![Page 9: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/9.jpg)
BioMed Research International 9
0Hz 10 20 30 40 50
(a) Raw data
100
80
60
40
20
0
AttentionMeditation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b) Power spectrum
Attention Meditation60 6460 6443 4843 5647 5644 5754 61middot middot middot middot middot middot
(c) Excel data
0102030405060708090
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
AttentionMeditation
(d) Digital data
Figure 11 Digital transformation process
34 Taste Biological Sensor Analyses on Makgeolli The tastebiological sensor was compared to a standard one Thestandard sample which showed middle score in the sensorytest was the standard sample CD1 (unsterilized) According totaste biological sensor test results as shown in Figure 10 thesourness level showed significant distinction between WM1(769) and BS1 (minus2384) Meanwhile the sourness found in anunsterilizedMakgeolli sample was generally higher than thatin sterilized ones
The bitterness found in the samples CJ1 (559) SJ1 (556)WR2 (547)WR1 (520) CW1 (513) and SD1 (503) was highUmami and richness on the other hand found in the samplesGS5 WR1 PG1 GS1 and SJ1 were higher than the othersamples The SD1 sample showed the highest score in umamiwith 665 and 083 in richness according to the taste biologicalsensor
35 Correlation The correlation analysis between the ana-lytical value of physicochemical characteristics and sensorytesting of KoreanMakgeolli samplesusing the taste biologicalsensor was conducted
The pH and titratable acidity (physicochemical charac-teristics) as shown in Table 3 showed high reverse cor-relation The correlation analysis between physicochemicalcharacteristics and sensory testing of KoreanMakgeolli usingthe taste biological sensor showed that ldquotitratable acidityrdquoand ldquosourness cooling sensation and balancerdquo have highcorrelation
In addition the criteria ldquosweetness-bitternessrdquo ldquosourness-bitterness thickness cooling sensation and balancerdquoldquobitterness-thickness cooling sensation and balancerdquoldquothickness- cooling sensation and balancerdquo and ldquocoolingsensation-balancerdquo showed a strong correlation as shown inTable 3 Lastly items between physicochemical characteristic
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
Hindawi Publishing Corporationhttpwwwhindawicom
Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Enzyme Research
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Microbiology
![Page 10: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/10.jpg)
10 BioMed Research International
Table3Correlationanalysisbetweenph
ysicochemicalcharacteris
ticvalues
andsensoryteston
Korean
Makgeolli
pHTitratableacidity
Aminotypen
itrogen
Solubles
olid
LightnessRe
dnessYello
wness
Turbidity
Color
Flavor
SweetnessSourness
Bitte
rnessTh
ickn
essCoo
lingsensation
Balance
pHNAminus0910lowastlowast
0578
minus0038
0033
0498
0141
035minus004
1067minus0353minus082
8lowastminus0738minus0703
minus0878lowastlowast
minus0815lowast
Titratable
acidity
NA
minus0509
0134
minus0136minus0476minus046
6minus0559minus0132minus0622
0368
0913lowastlowast
0709
0649
080
1lowast0716
Aminotype
nitro
gen
NA
0716
0351
0933lowastlowast
0035
0747
0596
031minus0101minus0541minus0477minus0835lowast
minus0676
minus0463
Solubles
olid
NA
0344
063minus0146
0387
0617
0073
0266
0109
0122minus0359
minus0162
0073
Lightness
NAminus0186minus0072
0463
0362
0291minus006
8minus0049minus0078minus014
minus0039
minus0084
Redn
ess
NA
0092
087
9lowast0549
0024minus0099minus0618minus0491minus087
7lowastminus0669
minus040
5Yello
wness
NA
048
0539
0291
0306minus0302
013
006
40011
0219
Turbidity
NA
078
0lowast0105minus0134minus0603minus040
8minus0649
minus0424
minus0242
Color
NA
011
0481minus0052
0219minus0201
0057
0337
Flavor
NA
0252minus0281minus0075minus0099
minus0368
minus0269
Sweetness
NA
064
8086
1lowast0595
0626
0807lowast
Sourness
NA
089
8lowastlowast
0829lowast
089
1lowastlowast
084
1lowastBitte
rness
NA
086
0lowast088
7lowastlowast
095
4lowastlowast
Thickn
ess
NA
090
4lowastlowast
080
9lowastCoo
ling
sensation
NA
0932lowastlowast
lowast
119875lt005lowastlowast
119875lt001N
Anot
analysed
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
Hindawi Publishing Corporationhttpwwwhindawicom
Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Enzyme Research
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Microbiology
![Page 11: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/11.jpg)
BioMed Research International 11
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Makgeolli 1 age 26
(a)
Makgeolli 2 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(b)
Makgeolli 3 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(c)
Makgeolli 4 age 34
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(d)
Makgeolli 5 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(e)
Makgeolli 6 age 26
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(f)
Makgeolli 7 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(g)
Makgeolli 8 age 34
AttentionMeditation
0
20
40
60
80
100
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
(h)
Figure 12 Analysis results of brainwaves
analysis and taste biological sensor showed a strong correla-tion score
36 Brainwaves Detection The EEG used in this researchwas produced by the American Neuroscience The mindsetof the said EEG has a series of advantages Firstly EEGcan distinguish the state of brain in other words it candifferentiate good state from bad state Secondly because
EEG can analyze brainwaves in real-time this paper analyzedbrainwaves in a five-minute lapse after tasting Makgeolli ofthe panels Lastly because EEG outputs brainwaves in powerspectrum form this has been digitized for utilization [16]
Analog data obtained from raw data of the panelsrsquobrainwaves have been converted from power spectrum formto digital data through FFT which is then visualized throughexcel data as seen in Figure 11 [16 17]
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
Hindawi Publishing Corporationhttpwwwhindawicom
Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Enzyme Research
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Microbiology
![Page 12: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/12.jpg)
12 BioMed Research International
Power spectrum analysis shows change in the processfrom good state to bad state using raw data that is generatedfrom time series which is evaluated by the tasting of panelsof the eight Makgeolli samples Since numerical analysis ofbrainwaves with regard to selecting the Makgeolli changesover time after a five-minute lapse from tasting Makgeollithe intensity of taste is measured 10 times in one minute Inother words within just two minutes measuring was doneFigure 12 shows the tasting results of four panels who haveconsumed eightMakgeolli samples in two minutes
As shown in Figure 12 Makgeolli samples 1 2 3 and 4show good state whereas samples 7 and 8 show bad state and5 and 6 show the in-between stateThis experiment result wasalmost in match with experiment result of TS-5000z
4 Conclusion
It may be said that strategically coming up with a scalethat can evaluate foodrsquos taste characteristic intensity andpleasure is one way to globalize Korean food In generalrepresentative method that evaluates taste is called sensoryevaluation where human recognizes food taste using theactual tongue This however in realistic sense is used inonly limited cases due to issues with forming panels and costincurred in order to conduct sensory evaluation
Accordingly in this paper artificial tongue from elec-tronic equipment in other words suggests the method ofutilizing taste biological sensor system in place of sensoryevaluation Firstly it had chosen Makgeolli samples that aresold locally and congregated taste-adjectives used to describechosen Makgeolli by applying it through termite colonytheory
Afterwards the results of physics and chemical character-istic and sensory evaluation ofMakgeolli have been comparedwith the measured result from the taste biological sensor andscaled abstract function in order to suggest a generalizedscale
Therefore the degree of contribution this paper madewas from suggesting a new paradigm that may replacesensory evaluation with taste biological sensor and a methodthat overcomes various shortcomings of sensory evaluationMoreover in order to obtain precise and exact result it hadprovided a standardized scale of taste biological sensor bycomparing tasting results ofMakgeolli
This study is a pioneer in contributing through theinvestigation between the correlation analysis of brainwavesin accordance with taste biological sensor evaluation andelectroencephalographic data For future researches therewould be an expansion and comparison in a selection ofliquors especially beer and wine including the smell andcolor to statistically improve the taste biological sensorsystem A foundation is established for the application ofthe taste biological sensor system in a specific area as analternative to sensory evaluation
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
Acknowledgments
This research was supported by research funds of ChonbukNational University in 2009 and Basic Science ResearchProgram through theNational Research Foundation of Korea(NRF) funded by the Ministry of Education Science andTechnology (no 1201000870)
References
[1] DH JungHistoricalDevelopment of KoreanLiquor ShinkwangPublishing Seoul Korea 2004
[2] I S Ryu We Enjoy the Taste of 101 Kinds of MakgeolliNotebooksThe Treetop (Woodemji) Seoul Republic of Korea2010
[3] Ministry of Agriculture Food and Rural Affairs Introduction ofTakju and Yakju Suhwasa Seoul Republic of Korea 2012
[4] C-H Baek J-H Choi H S Choi et al ldquoQuality characteristicsof brown rice Makgeolli produced under differing conditionsrdquoKorean Journal of Microbiology and Biotechnology vol 41 no 2pp 168ndash175 2013
[5] R J Larsen and D M Buss Personality Psychology McGraw-Hill New York NY USA 2002
[6] H M Kim ldquoComparative analysis of multi-cultural situationsbetween Korea and Germanyrdquo in Proceedings of the Interna-tional Workshops on FRS Jeju Republic of Korea December2013
[7] S-H Kim Y-S Kim and Y-S Kim ldquoCorrelational analysisof brain waves according to sensual evaluation on commer-cial Makgeollirdquo International Journal of Bio-Science amp Bio-Technology vol 6 no 1 pp 95ndash100 2014
[8] H J Kim K H Lee H I Yong and C U Jo ldquoEffect of UV-C and electron beam irradiation of on the quality of rice wine(Makgeolli)rdquo Korean Journal of Food Preservation vol 20 no 1pp 45ndash51 2013
[9] H-E Kim and Y-S Kim ldquoComparison of quality characteris-tics and instrumental analysis on Korean Makgeollirdquo Interna-tional Journal of Bio-Science and Bio-Technology vol 6 no 1pp 123ndash128 2014
[10] J S Ahn Using Pattern Analysis of EEG Signals for Imple-mentation of Game Interface Graduate School of Chung-AngUniversity Seoul South Korea 2010
[11] P Ekman andM J PowerHandbook of Cognition and EmotionJohn Wiley amp Sons Sussex UK 1999
[12] A C Guyton and J E Hall Textbook of Medical PhysiologyElsevier Philadelphia Pa USA 2005
[13] C W James and J W Tukey ldquoAn algorithm for the machinecalculation of complex Fourier seriesrdquoMathematics of Compu-tation vol 19 no 90 pp 297ndash301 1965
[14] C W Park S Y Jang E J Park S H Yeo O M Kimand Y J Jeong ldquoComparison of the quality characteristics ofcommercial Makgeolli type in South Koreardquo Korean Journal ofFood Preservation vol 18 no 6 pp 884ndash890 2011
[15] K Toko ldquoTaste sensorrdquo Sensors and Actuators B Chemical vol64 no 1ndash3 pp 205ndash215 2000
[16] J Y Kim ldquoEEG signal feature analysis of smart phone gameuserrdquo inProceedings of the InternationalWorkshops on FRS 2013
[17] K S Jung and Y S Choi ldquoBrain wave and user profilebased learning content type recom-mendation in interactive e-learning environmentrdquo International Journal of Smart Homevol 6 no 3 pp 33ndash40 2012
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Molecular Biology International
GenomicsInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioinformaticsAdvances in
Marine BiologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
Evolutionary BiologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
Virolog y
Hindawi Publishing Corporationhttpwwwhindawicom
Nucleic AcidsJournal of
Volume 2014
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Enzyme Research
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Microbiology
![Page 13: Research Article Biometrics Analysis and Evaluation on Korean … · 2020-01-14 · analysis and sensory evaluation of Makgeolli with TS-z analysis results and by comparing analyzed](https://reader034.vdocuments.mx/reader034/viewer/2022042406/5f2033b2269fe05556155b82/html5/thumbnails/13.jpg)
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Anatomy Research International
PeptidesInternational Journal of
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Hindawi Publishing Corporation httpwwwhindawicom
International Journal of
Volume 2014
Zoology
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Molecular Biology International
GenomicsInternational Journal of
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Signal TransductionJournal of
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BioMed Research International
Evolutionary BiologyInternational Journal of
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Biochemistry Research International
ArchaeaHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Genetics Research International
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Advances in
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Stem CellsInternational
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Enzyme Research
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International Journal of
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