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Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
Available online: www.uptodateresearchpublication.com September – October 175
Research Article CODEN: IJRPJK ISSN: 2319 – 9563
FORMULATION AND EVALUATION OF NANOSPONGES CONTAINING
MURRAYA KOENIGII EXTRACT FOR BURN WOUND HEALING
Poonam Jadhav*1
1*Satara College of Pharmacy, Satara, Near MIDC, Maharashtra, India.
INTRODUCTION
The ideal delivery systems solubilize the drug; lead
the drug to the target site to fulfill the individual
need of the patient and disease stage. Nanosponges
are versatile drug delivery system as it can load
both hydrophilic and hydrophobic drugs.
Nanosponges are solid, porous, biocompatible, tiny
in size with 3 dimensional structures and nanomeric
cavity size which have unique ability to entrap wide
variety of drugs.
ABSTRACT
Murraya koenigii is a medium sized tree belonging to the family Rutaceae. The major constituents present in the
Murraya koenigii leaves treat burns, bruises. Ayurveda is a traditional Indian medicinal system practiced for
thousands of years. Natural remedies are more acceptable in the faith that they are safer with less side effects than the
synthetic ones. The novel formulations are reported to have remarkable advantages over conventional formulations of
plant actives and extracts which include enhancement of solubility, bioavailability, protection from toxicity,
enhancement of pharmacological activity, enhancement of stability, improved tissue macrophages distribution,
sustained delivery and protection from physical and chemical degradation. Our main purpose is to treat/heal wound at
faster rate with minimum side effects. Nanosponges alone are difficult to use on local tissues because they diffuse
away to other parts of the body very quickly so to overcome the drawback we combined nanosponges with the herbal
extract of Murraya Koenigii. According to literature survey it was found that etanolic and aqueous extract shows
good wound healing results. Research on curry leaves revealed that they are also effective in fighting bacterial and
fungal infections. The leaf extracts from the plant have been comparable to popular main stream antibiotic drugs.
During this research work, we prepared ethanolic extract of Murraya Koenigii leaves and prepared nansponges from
it for treating burn wound. The nanosponges are prepared by quasi emulsion solvent diffusion method. The prepared
nanosponges were evaluated for various In-vitro parameters and the results obtained were satisfactory.
KEYWORDS
Nanosponges, Murraya koenigii, Wound and Solubility.
Author for Correspondence:
Poonam Jadhav,
Satara College of Pharmacy,
Satara, Near MIDC, Maharashtra, India.
Email: [email protected]
International Journal of Research
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Nanosponges are a novel class of nanoparticles with
nanostructured hyper branched polymers and few
nanometers wide cavities in which a large variety of
substances can be encapsulated. The nanosponges
drug delivery platform is a network of specific
polymers that slowly degrades and thus releases the
chosen drug. The nanosponges can be synthesized
to be of specific size and to release drugs over time
by varying the proportion of cross-linker to
polymer.
Now regarding its mechanism of drug release, the
sponge particles contain an open structure and it
contains the active ingredients which are free to
move in and out from the particles and into the
medium until equilibrium is reached. In case of
topical drug delivery, once the finished product is
applied to the target tissue, the active ingredient
which is already present in the vehicle will be
absorbed into it, depleting the vehicle, which will
become unsaturated, hence disturbing the
equilibrium.
This will lead to flow of the active drug ingredient
from the sponge particles into the vehicle and from
it to the target tissue until the vehicle is either
dried/absorbed.
The term gel was introduced in late 1800. The USP
defines gel as a semisolid system consisting of
dispersion made up of either small inorganic
particles or large organic molecules enclosed and
interpenetrated by liquid.
A burn is a type of injury to skin caused by heat,
electricity, light, radiation or friction. The wound
healing process is a series of independent and
overlapping stages. In these stages both cellular and
matrix compounds work to reestablish the integrity
of damaged tissues and replacement of lost tissues.
These overlapping series are classified into 5 stages
– Haemostasis, Inflammation, Migration,
Proliferation and maturation.
MATERIAL AND EQUIPMENTS
The raw materials like drug, polymers, excipients
and chemicals required for the present work were
procured from different sources. Following
materials were used for the formulation and
evaluation of nanosponges and gel.
Preformulation studies
Characterization of Murraya koenigii extract
Organoleptic properties Murraya Koenigii leaves extract was evaluated for
its organoleptic properties such as colour, odour,
and taste.
Determination of pH
The crude powder of Murraya Koenigii was
dissolved in distilled water and was kept in water
bath for 20 min, filtered and then pH of the filtrate
was noted down with the help of pH meter.
Phytochemical tests performed
Determination of total ash
The total ash value of crude powder of Murraya
Koenigii was determined by incinerating 2 g of
accurately weighed crude powder in a silica
crucible. It was incinerated in a muffle furnace at a
temperature not exceeding 450º C until free from
carbon, then cooled and weighed.
Determination of water soluble ash
The total ash obtained was boiled with 25 ml of
distilled water for 5 min. The insoluble matter was
collected on an ash less filter paper, washed with
hot water and ignited to constant weight at allowed
temperature. The weight of insoluble matter was
subtracted from the weight of total ash. The
difference in weight represents the water soluble
ash. The percentage of water soluble ash with
reference to the air dried drug was calculated.
Determination of acid insoluble ash
The ash obtained in the above method was boiled
with 25 ml of dilute hydrochloric acid for 5 min.
The residue was collected on ash less filter paper
and washed with hot water, ignited, cooled and
weighed. The percent of acid insoluble ash with
reference to air dried drug was calculated.
Determination of loss on drying
The loss on drying was determined by weighing 2 g
of crude powder of Murraya Koenigii in an
evaporating dish and then dried in an oven at 105ºC
till constant weight was obtained and loss on drying
was calculated. The percent loss on drying was
calculated on the basis of sample taken initially.
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
Available online: www.uptodateresearchpublication.com September – October 177
Determination of melting point
Melting point of Murraya Koenigii extract was
determined by micro controlled based melting point
apparatus. The sample was inserted in capillary
having one end closed. Then the capillary was
inserted in bath of silicone oil which was heated in
controlled manner with the help of electric heating
coil. The temperature at which bubble formation
occurs was noted as melting temperature.
Calibration curve of Murraya Koenigii extract in
Phosphate buffer pH 5.5
Accurately weighed 100 mg (0.1 gm) Murraya
Koenigii extract was taken and transferred to 100
ml volumetric flask and volume was made to 100
ml with petroleum ether (Stock I). The 10ml
solution from above stock I solution was again
diluted with methanol and volume was made to 100
ml (Stock II). The final solutions of stock II were
then prepared in methanol. From Stock II solution
aliquots of 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 ml were
transferred to 10 ml volumetric flasks and final
volume was made to 10ml with methanol in the
concentration range of 10-100 µg/ml. The
absorbance values of these solutions were measured
at 239.5 nm using double beam UV
spectrophotometer (Shimadzu, Pharmaspec UV-
1700, Japan) against blank of methanol.
Drug – excipient compatibility studies
Visual observations
The samples subjected to drug-excipient
compatibility studies were assessed for any visual
changes. The samples were observed for change in
colour and nature.
Infrared Spectroscopy
IR was determined by Fourier Transform infrared
spectrophotometer (FTIR – 4100, Jasco, Japan).
Preparation of Blank Nanosponges
Blank nanosponges were prepared by Quasi –
emulsion solvent diffusion method. The inner phase
was prepared by dissolving Eudragit RS 100 in a
suitable solvent i.e dichloromethane. The inner
phase was then poured into the polyvinyl alcohol
solution in water (Outer Phase). Following 60 min
of stirring (rpm 800-900), the mixture was filtered
to separate the nanosponges. The nanosponges were
dried in an air heated oven at 40ºC for 12 h.
Preparation of drug loaded Nanosponges
Drug loaded nanosponges were prepared by Quasi -
emulsion solvent diffusion method. The inner phase
was prepared by dissolving Eudragit RS 100 in a
suitable solvent i.e. dichloromethane. Then drug
was added to solution and dissolved under
ultrasonication at 35ºC. The inner phase was then
poured into the polyvinyl alcohol solution in water
(Outer Phase). Following 60 min of stirring (rpm
800-900), the mixture was filtered to separate the
Nanosponges. The Nanosponges were dried in an
air heated oven at 40ºC for 12 h.
Evaluation of Nanosponges
Visual inspection
The visual inspection of nanosponges was
determined by optical or binocular microscopy.
Determination of production yield
The production yield of the nanosponges was
determined by calculating accurately the initial
weight of the raw materials and the final weight of
the nanosponges obtained. Production Yield (PY) = Practical mass of nanosponges × 100 (Eq-1)
Theoretical Mass (Polymer + Drug)
Actual drug content and Entrapment Efficiency
The actual drug content was determined by the
amount of drug which was entrapped in
nanosponges. The weighed amount of drug loaded
nanosponges (50mg) was kept in 10 ml ethanol and
soaked for 3 h. The samples were filtered and
analyzed at 239.5nm against blank using UV
spectrophotometer (Shimadzu, PharmaSpecUV-
1700, Japan). Encapsulation efficiency was
calculated by following formula: Entrapment efficiency (%) = Total amount of drug ─ Free unentrapped drug × 100 (Eq-2)
Total amount of drug
Differential Scanning Calorimetry (DSC)
Thermal analysis is an important evaluation
technique to find any possible interaction between
the drug and excipient. Such interaction can be
identified by any change in thermogram.
Thermogram of pure Murraya koenigii leaves
extract and finished nanosponges formulations were
obtained using DSC instrument (Mettler Toledo
DSC 821Ce, Switzerland) equipped with an
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
Available online: www.uptodateresearchpublication.com September – October 178
intercooler. Indium standard was used to calibrate
the DSC temperature and enthalpy scale. The
powder sample of nanosponges was kept in the
aluminium pan and heated at constant rate of
5°C/min up to 300°C. Inert atmosphere was
maintained by purging nitrogen at the flow rate of
10ml/min.
Scanning Electron microscopy
Scanning electron microscopy was used to study the
microscopic aspects of the nanosponges. The
morphology of nanosponges was carried out by
using zeta sizer.
Particle size analysis
Particle size analysis of prepared nanosponges was
carried out by using zeta sizer (Particulate system
nano plus).
Zeta potential
Zeta potential of optimized nanosponges was
measured by using zeta sizer at 25°C (Particulate
system nano plus).
Formulation and evaluation of Murraya koenigii
extract nanosponges gel
Preparation of Murraya koenigii extracts
nanosponges gel:
1% Carbopol 934 was allowed to soak for 24 h in
distilled water. On next day accurately weighed
Murraya koenigii extract nanosponges were added
to the gel base. Triethanolamine was added drop
wise to the formulation for adjustment of required
pH (5.5-5.6) and to obtain the gel in required
consistency. Finally preservatives were added in the
carbopol solution
Physical appearance
The physical appearance of the formulation was
checked visually.
Color
The color of the formulation was checked out
against white and black background.
Consistency
The consistency was checked by applying on skin.
Odor
The odor of gel was checked by mixing the gel in
water and taking the smell.
Determination of pH
The pH of gel was determined using digital pH
meter by dipping the glass electrode completely into
the gel system.
Determination of Spread ability
Spread ability was determined by modified wooden
block and glass slide apparatus. The apparatus
consisted of a wooden block with fixed glass and a
pulley. A pan was attached to another glass slide
(movable) with the help of a string. For the
determination of Spread ability measured amount of
gel was placed on the fixed glass slide. The
movable glass slide with a pan attached to it, was
placed on other fixed glass slide such that the gel
was sandwiched between the two slides for 5 min.
About 50gm of weight was added to the pan. Time
taken for the slides to separate was noted. Spread
ability was determined using formula:
S=M.L/T ------------- (Eq-3)
Determination of drug content
The drug content of gel formulation was determined
by dissolving an accurately weighed quantity (1g)
of gel in 100 ml of solvent (pH 5.5-5.6). The
solutions were kept for stirring up to complete
dissolution of the formulations. Solutions were
filtered and were subjected to spectrophotometric
analysis. The drug content was calculated from
calibration data. Drug Content = Actual conc. × 100 ------ (Eq-4)
Theoretical conc.
In vitro drug release studies
Release of the Murraya koenigii extract from
nanosponges incorporated in various gel
formulations was measured through standard
cellophane membrane using a Franz diffusion cell.
Prior to study, cellophane membrane was soaked in
diffusion medium for overnight, and then placed on
the support screen of the diffusion cell assembly.
Phosphate buffer pH 5.5 was used as the receptor
medium and 1gm of the gel was placed on the donor
side. All batches of Murraya koenigii extract (F1-
F9) were used for diffusion study. At predetermined
time intervals, 2ml of sample was withdrawn from
the receptor compartment and replaced with same
volume of phosphate buffer pH 5.5. The aliquots
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
Available online: www.uptodateresearchpublication.com September – October 179
were analyzed by UV spectrophotometer at 239.5
nm against PBS (pH 5.5).
In-vivo studies for burn wound healing activity
by using suitable animal model:
Burn wound healing activity
• Animals: Wistar rats Male/Female (n=18)
• Weight: 200-300 g.
• Group I: Nanosponges gel containing
Murraya koenigii extract.
• Group II: Standard (Silver sulphadiazine
cream)
• Group III: Control (No treatment)
Procedure
Albino Wistar rats of either sex weighing 200- 250
gm (3 months old) were randomly selected marked
to permit individual identification and kept in their
cages for at least 7 days prior to dosing to allow for
acclimatization to the laboratory condition. Animals
were not being deprived of food and water. The
animals were divided into 3 groups of 6 animals
each then dorsum of each rat was shaved.
Immediately after the procedure anesthesia was
given to animal. The burn was made by exposing
the back skin to red hot beaker. The wounding day
was considered as day 0. Prepared formulations
were placed on the wound site. Average wound
contraction was measured by a tracing paper on the
wounded margin and calculated as percentage
reduction in wound area. The wound contraction is
calculated as percentage of the original wound size
for each animal of a group. The percent of wound
size induced was calculated by: Percentage Wound Contraction (%) = Initial Wound
size-specific wound size / initial wound size ×100
RESULTS AND DISCUSSION
Collection of plant material
Authentication of plant material
The authentication of seeds was done from
department of Botany, Yashwantrao Chavan
institute of Sciences Satara (Maharashtra) and it
was confirmed that the procured leaves were of
Murraya koenigii plant.
Extraction of Murraya koenigii leaves
Extract was obtained in sufficient quantity from the
leaves of Murraya koenigii by soxhlet extraction
method.
Preformulation study
Characterization of Murraya koenigii extract:
Organoleptic properties
Determination of pH
pH of the extract was found to be 6.7, while as per
literature standard it is reported to be 6.3-6.4. As
experimental values were in good agreement with
official values, it could be concluded that procured
extract was in pure form.
Phytochemical tests performed
Test for alkaloids
Dragendroff’s test
This test was performed which showed formation of
orange brown precipitate that indicated the presence
of alkaloids.
Hager’s test
This test was performed which showed formation of
yellow precipitate that indicated the presence of
alkaloids.
Test for glycoside
Molisch’s test
This test was performed which showed formation of
violet ring at the junction of 2 liquids that indicated
the presence of glycosides.
Test for Saponin
Foam test
This test was performed which showed foam
formation that indicated the presence of saponin.
Test for proteins and amino acids
Millions test
This test was performed which showed formation of
white precipitate. Warm the obtained precipitate
which converted it into brick red colour that
indicated the presence of proteins and amino acids.
Test for Triterpenoids
Lieberman bur chard test
This test was performed which showed formation of
first red, and then blue and finally green colour
indicated presence of Triterpenoids.
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
Available online: www.uptodateresearchpublication.com September – October 180
Test for flavonoids
Shinoda test
This test was performed which showed formation of
red coloration that indicated presence of Flavinoids.
Determination of total ash
The total ash value of Murraya koenigii was found
to be 12.5%, while as per literature standard it is
11.33%.
Determination of water soluble ash
The water soluble ash value was found to be 2%,
while as per literature standard is 1.97%.
Determination of acid insoluble ash
The acid insoluble ash value was found to be 5%,
while as per literature standard it is 5.33%.
Determination of loss on drying
The loss on drying was found to be 10.43 gm, while
as per literature standard it is 10.06±0.15gm.
Determination of refractive index
The refractive index was found to be 1.5010, while
as per literature standard it is 1.5021.
Determination of melting point
The melting point of Murraya koenigii was found to
be 99ºC- 100ºC, while as per literature standard it is
98°C-100°C.
Determination of extractive values
Alcohol soluble extractives
The alcohol soluble extractive was found to be
7.2%, while as per literature standard it is reported
to be 7.75%.
Water soluble extractive
The water soluble extractive was found to be
9.52%, while as per literature standard it is reported
to be 9.56%.
Identification of Murraya koenigii extract
Ultraviolet spectroscopy
The λmax value of Murraya koenigii extract was
found to be 239.5nm in phosphate buffer pH
5.5.This was in well compliance with the λmax
value of Murraya koenigii extract in literature.
Calibration curve of Murraya koenigii extract in
phosphate buffer pH 5.5
The calibration curve for Murraya Koenigii extract
in phosphate buffer pH 5.5 was plotted by using
following results of absorbance at various
concentrations.
Drug - excipient compatibility studies
Visual observations
No notable change was observed in the sample on
visual observation. There was no observable color
change.
Infrared spectroscopy
FTIR spectrum of the mixture of Murraya koenigii
extract and excipients was compared with spectra of
individual components. An FTIR spectrum of
physical mixture shows significant peaks of
Murraya koenigii extract and respective excipient
indicating no chemical interaction between Murraya
koenigii extract and excipient.
Evaluations of Murraya koenigii extract
nanosponges
Visual inspection
In this figure, the nanosponges were observed in the
optical microscope. The nanosponges were spread
on neubauer’s chamber; small cube contains two or
three nanosponges. From the figure it could be
concluded that the obtained product was in nano
range. The binocular image of nanosponges also
exhibited the small and spherical nanosponges.
Determination of Production Yield, Entrapment
Efficiency and Actual Drug Content:
Production Yield, Entrapment Efficiency and
Actual Drug Content was calculated
The % production yield of all batches was ranged
from 19.38% to 88.78%, it was found that the
production yield was greatly affected by polymer
concentration as well as by concentration of
polyvinyl alcohol.
Use of higher amount of PVA while preparing
nanosponges at higher amount of polymers caused
slightly an increased viscosity of the dispersed
phase. When solvents from inner phase diffused
out, nearly all of the dispersed phase was converted
to the form of solid nanosponges and separated
particles appeared and also it has given higher
percent entrapment efficiency and % actual drug
content.
Scanning electron microscopy
From SEM photographs, it was clear that the
nanosponges so obtained were having the spherical
shape and the spongy nature of the nanosponges
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
Available online: www.uptodateresearchpublication.com September – October 181
was clearly evident, thus it could be concluded that
the adopted method for the preparation of
nanosponges was useful.
Particle size analysis
Particle size of nanosponges should be in the range
of 5-500 nm. The visual inspection of all batches for
particle size using optical and binocular microscope
revealed that the particle size was increased with the
increase in the Eudragit RS100 amount. This might
be due to increasing polymer wall thickness which
led to the larger size of nanosponges. The F6 batch
possessed more percent of intact, uniform, spherical
particles in optical microscopy; so the batch F6 was
chosen for further analysis. A mean particle size of
formulation F6 was found to be 55.2 nm.
Zeta potential
Highly negatively or highly positive zeta potential
value indicates good physical stability of the
formulation. The optimised nanosponge
formulation of murraya koenigii was measured by
using zetasizer at 25°C, it was found to be 27.11
and it indicate the formulation to be stable.
In vitro drug release studies In vitro drug release study was carried out using
phosphate buffer pH 5.5 using Franz diffusion cell,
from the results it could be revealed that % CADD
was founded and ranged between 62.14% to
82.16%. Formulation F6 gave better drug release
than other formulations. The cumulative percent
drug release (% CADD) for all formulations was
calculated. It is given in table below
Evaluations of Murraya koenigii extract
nanosponges gel
Physical appearance
The prepared gel formulations of Murraya koenigii
leaves extract nanosponges were visually inspected
for their colour, consistency and odour.
Colour: Pale green
Consistency: Good
Odour: Aromatic
The values of spred ability of all prepared
formulation were found to be in the range of
12.33±1.08 to 29.03±2.62 g.cm/sec and drug
content ranges from 81.1 to 92.5. Hence, it indicates
that spred ability and drug content of gel was good.
In vitro drug release studies
In vitro drug release study of gel was carried out
using phosphate buffer pH 5.5 using Franz diffusion
cell. From the results it could be concluded that %
CADD of gel formulations gave better release. At
the end of 8 h, the total amount of drug release from
the formulation was found to be 82.16%.
Stability study
The stability studies of formulated gel were carried
out at room temperature for one month. The effect
of temperature, humidity and time on the physical
characteristics of the gel was for assessing the
stability of the prepared formulations. The stability
studies were carried out when the room temperature
was 25º C. The Results were shown in Table No.32.
Therefore no evidence of degradation of drug was
observed.
DSC of formulated gel
In DSC thermogram of Murraya koenigii extract
containing gel endothermic peak was observed at
105.26ºC. The DSC thermogram of drug and
formulation compared with each other both shows
endothermic peak. The study indicated that drug has
not under go any chemical interaction with the
polymer.
Data analysis of formulations
Traditional design of the pharmaceutical
formulations are based on time consuming approach
of changing one variable at a time which does not
take into consideration the joint effect of
independent variables. Thus, factorial design can
serve as an essential tool to understand the
complexity of the pharmaceutical formulations.
A 32 full factorial design was selected and the 2
factors were evaluated at 3 levels. The amount of
Eudragit RS100 (A) and polyvinyl alcohol (B) were
selected as independent variables and the dependent
variables were % production yield, %CADD and %
Entrapment efficiency. The data obtained was
treated using Stat-Ease Design Expert software.
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
Available online: www.uptodateresearchpublication.com September – October 182
Table No.1: List of drug, Excipients, Polymer and Solvent
S.No Drug/Polymer/Excipients/Solvent Manufacturer
1 Leaves of Murraya Koenigii Botanical garden of Satara College of Pharmacy,
Satara
2 Eudragit RS100 Loba Chemie Pvt. Ltd., Mumbai
3 Polyvinyl alcohol Loba Chemie Pvt. Ltd., Mumbai
4 Dichloromethane S.D. Lab Chem. Mumbai
5 Ethanol S.D. Lab Chem. Mumbai
6 Carbopol 934 Research –Lab Fine Chem. Industries, Mumbai
7 Methyl paraben Loba Chemie Pvt. Ltd., Mumbai
8 Propyl paraben Loba Chemie Pvt. Ltd., Mumbai
9 Triethanolamine Research- Lab Fine Chem. Industries, Mumbai.
Table No.2: Samples used in drug-excipient compatibility studies
S.No Pure sample Drug + Excipient
1 Murraya Koenigii extract -----
2 Eudragit RS 100 Eudragit RS 100 + Extract
3 Polyvinyl alcohol Polyvinyl alcohol + Extract
4 Carbopol 934 Carbopol 934 + Extract
Formulation of Nanosponges
Table No.3: Ingredients used for formulation of nanosponges of Murraya koenigii leaves extract
S.No Ingredients Use
1 Murraya Koenigii extract API
2 Eudragit RS 100 Polymer
3 Polyvinyl alcohol Stabilizer
4 Dichloromethane Solvent
5 Distilled water Vehicle
Full Factorial design
Table No.4: Full factorial experimental design layout
Formulation code Coded values
A B
F1 +1 0
F2 0 +1
F3 -1 -1
F4 +1 -1
F5 -1 0
F6 -1 +1
F7 +1 +1
F8 0 0
F9 0 -1
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Table No.5: Design Summary
S.No Factor Name Unit Type Coded level Actual level
Low Medium High Low Medium High
1 A Eudragit
RS100 gm
Numer
ical -1 0 +1 0.5 1 1.5
2 B Polyvinyl
alcohol gm
Numer
ical -1 0 +1 0.25 0.5 0.75
Table No.6: Composition of blank nanosponges
Table No.7: Composition of drug loaded Nanosponges
Table No.8: Composition of Gel containing Nanosponges of Murraya koenigii extract
S.No Batches F1 F2 F3 F4 F5 F6 F7 F8 F9
1 Nanosponges eq. to
100mg drug 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 Methyl paraben(g) 0.015 0.020 0.025 0.015 0.020 0.025 0.015 0.020 0.025
3 Propyl paraben(g) 0.05 0.010 0.015 0.05 0.010 0.015 0.05 0.010 0.015
4 Triethanolamine(ml) q.s q.s q.s q.s q.s q.s q.s q.s q.s
5 Carbopol 934(gm) 0.1 0.1 0.1 0.2 0.2 0.2 0.3 0.3 0.3
6 Distilled water (ml) q.s q.s q.s q.s q.s q.s q.s q.s q.s
Table No.9: Phytochemical tests
S.No Constituents Tests Observations
1 Alkaloids 1. Dragendroff’s test
2. Hager’s test
Present
Present
2 Protein Millions test Present
3 Saponin test Foam test Present
4 Glycoside Molisch’s test Present
5 Protein Millions test Present
6 Triterpenoids Liberman burchard test Present
7 Flavinoids Shinoda test Present
8 Terpenoids Noller’s test Present
S.No Batch no F1 F2 F3 F4 F5 F6 F7 F8 F9
1 Eudragit Rs 100(gm) 0.5 1 1.5 0.5 1 1.5 0.5 1 1.5
2 Dichloromethane (ml) 20 20 20 20 20 20 20 20 20
3 Polyvinyl alcohol (gm) 0.25 0.25 0.25 0.50 0.50 0.50 0.75 0.75 0.75
4 Distilled water (ml) 100 100 100 100 100 100 100 100 100
S.No Batch no F1 F2 F3 F4 F5 F6 F7 F8 F9
1 Drug (gm) 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2 Eudragit Rs 100(gm) 0.5 1 1.5 0.5 1 1.5 0.5 1 1.5
3 Dichloromethane (ml) 20 20 20 20 20 20 20 20 20
4 Polyvinyl alcohol (gm) 0.25 0.25 0.25 0.50 0.50 0.50 0.75 0.75 0.75
5 Distilled water (ml) 100 100 100 100 100 100 100 100 100
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Table No.10: Absorbance of Murraya koenigii extract in phosphate buffer pH 5.5
S.No Concentrations (µg/ml) Absorbance
1 0 0
2 10 0.0794
3 20 0.176
4 30 0.330
5 40 0.472
6 50 0.5721
7 60 0.7021
8 70 0.7237
9 80 0.9212
10 90 1.0419
Table No.11: Production Yield, Entrapment Efficiency and Actual Drug Content of Murraya koenigii
extract nanosponges
Batches
Amount
of Eu
RS 100
(g)
Amount
of PVA
(g)
Theoretical
yield
(g)
Practical
yield
(g)
Production
yield
(%)
Entrapment
efficiency
(%)
Actual
drug
content
(%)
F1 0.5 0.25 0.95 0.4122 43.38 67.7 67.7
F2 1 0.25 1.45 0.7393 50.98 77.8 77.8
F3 1.5 0.25 1.95 1.7314 29.65 77.3 77.3
F4 0.5 0.5 1.2 0.3662 30.51 66.8 66.8
F5 1 0.5 1.7 0.7512 44.18 53 53
F6 1.5 0.5 2.2 0.6523 88.78 86.6 86.6
F7 0.5 0.75 1.45 0.7465 51.48 52 52
F8 1 0.75 1.95 0.3780 19.38 45.1 45.1
F9 1.5 0.75 2.45 1.1010 44.93 77.5 77.5
Table No.12: The cumulative percent drug release of all formulations
Time
(hr)
% CADD
F1 F2 F3 F4 F5 F6 F7 F8 F9
0 0 0 0 0 0 0 0 0 0
1 15.38 42.18 29.5 37.24 32.85 27.42 27.69 37.81 20.15
2 28.35 47.29 36.96 42.29 39.15 37.35 35.78 44.68 28.52
3 32.54 49.65 39.16 49.73 40.72 41.47 40.87 48.71 32.54
4 42.30 51.7 42.18 55.64 42.12 59.14 52.67 65.3 36.65
5 45.76 57.12 49.72 59.16 51.79 62.42 54.35 69.73 42.39
6 52.37 65.99 52.34 63.1 56.12 69.55 56.19 73.15 49.79
7 62.55 72.31 65.16 70.12 62.14 75.21 58.78 75.79 58.92
8 68.63 81.46 80.16 72.32 69.16 82.16 62.14 79.12 68.32
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Determination of pH
Table No.13: pH of all formulations
S.No Batches pH Std. Deviation
1 F1 5.22 5.20 5.22 5.21±0.07234
2 F2 6.22 6.22 6.22 6.22±0
3 F3 5.29 5.10 5.32 5.23±0.1193
4 F4 5.89 5.90 5.92 5.90±0.01528
5 F5 5.62 5.58 5.60 5.59±0.02
6 F6 5.28 5.25 5.27 5.26±0.01528
7 F7 6.00 6.00 6.00 6.00±0
8 F8 6.67 6.69 6.67 6.67±0.01155
9 F9 5.76 5.75 5.74 5.75±0.01
10 5.28 5.25 5.27 5.26±0.01528 5.28
Spread ability and Drug Content
Table No.14: Spread ability and % drug content of all formulations
Batches Spread ability Std. Deviation Drug content (%)
F1 20 20.65 19 19.88±0.83 85.54
F2 29.16 25 27.77 27.31±2.11 89.6
F3 12.5 13.33 11.17 12.33±1.08 86.6
F4 22.36 22 19.31 21.22±1.66 81.1
F5 24.82 18.75 13.88 19.15±5.48 87.2
F6 13.87 16.30 14.81 14.99±1.22 92.5
F7 31.45 29.41 26.25 29.03±2.62 89.9
F8 18.4 21.18 17.96 19.18±1.74 82.1
F9 27.77 25 21.59 24.78±3.09 84.4
Table No.15: % CADD of optimized formulation
Time (hr) CADD (%)
0 0
1 27.42
2 37.35
3 41.47
4 59.14
5 62.42
6 69.55
7 75.21
8 82.16
Table No.16: Appearance, pH and homogeneity of formulation
Time interval
(days)
Formulation
Appearance pH Homogeneity
0 Pale green 5.20 Very good
7 Pale green 5.20 Very good
15 Pale green 5.36 Good
30 Pale green 5.38 Good
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Table No.17: Design Summary
S.No Factor Name Unit Type Coded level Actual level
Low Medium High Low Medium High
1 A Eudragit
RS100 gm Numerical -1 0 +1 0.5 1 1.5
2 B Polyvinyl
alcohol gm Numerical -1 0 +1 0.25 0.5 0.75
Table No.18: Response Summary
S.No Response Name Unit Observations Analysis Minimum Maximum
1 M1 Entrapment
efficiency % 9 Polynomial 45.1 86.6
2 M2 CADD % 9 Polynomial 27.42 82.10
3 M3 PY % 9 Polynomial 19.38 88.78
Table No.19: The responses of all formulations (F1-F9)
S.No Responses A B CADD (%) EE (%) %PY
1 F1 +1 0 68.63 67.7 43.38
2 F2 0 +1 81.46 77.8 50.98
3 F3 -1 -1 80.16 77.3 29.65
4 F4 +1 -1 72.32 66.8 30.51
5 F5 -1 0 69.16 53 44.18
6 F6 -1 +1 82.16 86.6 88.78
7 F7 +1 +1 62.14 52 51.48
8 F8 0 0 79.12 75.1 19.38
9 F9 0 -1 68.32 77.5 44.93
In-vivo burn wound healing
Weight of animals after creating burn wound
Table No.20: Weight of animals after creating burn wound
S.No Time (days) Group 1 (Test) Group 2 (Standard) Group 3 (Control)
1 0 262.5±26.22 225±22.36 220.83±36.79
2 7 266.66±30.27 212.5±26.22 237.5±26.22
3 14 287.5±26.22 250±15.81 212.5±26.22
4 21 241.66±20.41 212.5±26.22 220.83±36.79
5 28 250±15.81 225±22.36 233.33±20.41
Surface area of burn wound
Table No.21: Surface area of burn wound
S.No Time (days) Group 1 Group 2 Group 3
1 0 10.89±2.088 9.216±1.114 11.75±1.665
2 7 9.142±1.579 7.738±0.999 10.14±1.659
3 14 7.411±1.019 5.878±1.987 8.588±1.424
4 21 5.79±1.289 3.615±1.717 5.015±2.245
5 28 0.859±0.499 1.000±0.839 1.734±1.172
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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% of burn wound contraction
Table No.22: % of burn wound contraction
S.No Time (days) Group 1 (Test) Group 2(Std) Group 3 (Control)
1 0 - - -
2 7 15.611±7.203 15.72±8.292 13.86±4.140
3 14 30.56± 19.11 32.42±20.506 26.96±5.303
4 21 47.87±19.105 46.235±10.848 35.57±2.106
5 28 89.56±8.434 85.106±9.196 78.24±9.916
a. Shaved animal b. 0th day wound 1st day wound
Figure No.1: Burn Wound
Figure No.2: Soxhlet extraction of leaves of plant and extract of leaves
Figure No.3: UV spectrum of Murraya koenigii extract in phosphate buffer pH 5.5
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Infrared spectroscopy
3795.65
3763.74
3733.34
3554.06
2914.84
2751.40
2701.88
2587.62
2467.22
2355.50
2230.01
2204.85
2139.39
2009.89
1727.70
1404.52
1315.53
1024.84
500100015002000250030003500
Wavenumber cm-1
020
40
60
80
100
Transmittance [%]
MK KADIPATTA.0 R. L. Jadhav Satara College of Pharmacy, Satara 2/22/2017 4:26:43 PM
Figure No.4: FTIR spectrum of Murraya koenigii extract
DSC
Figure No.5: DSC of Murraya koenigii dried powder
In DSC thermogram of Murraya koenigii extract endothermic peak was observed at 75.82ºC
Figure No.6: DSC Thermogram of Murraya koenigii extract
In DSC thermogram of Murraya koenigii extract endothermic peak was observed at 130.40ºC
Po
on
am
Ja
dh
av. / In
terna
tion
al J
ou
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esearch
in P
ha
rma
ceutica
l an
d N
an
o S
ciences. 7
(5), 2
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8, 1
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-19
9.
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nlin
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dateresearch
pu
blicatio
n.co
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eptem
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Octo
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89
F
igu
re No
.7: C
alib
ratio
n cu
rve o
f Mu
rray
a k
oen
igii ex
tract in
ph
osp
hate b
uffer p
H 5
.5
3795.65
3763.74
3733.34
3554.06
2914.84
2751.40
2701.88
2587.62
2467.22
2355.50
2230.01
2204.85
2139.39
2009.89
1727.70
1404.52
1315.53
1024.84
500
1000
1500
2000
2500
3000
3500
Wavenum
ber cm
-1
0 20 40 60 80 100
Transmittance [%]
MK
K
AD
IP
AT
TA
.0 R
. L
. Jad
hav
Satara C
olleg
e o
f P
harm
acy, S
atara
2/22/2017 4:26:43 P
M
Fig
ure N
o.8
: FT
IR sp
ectru
m o
f Mu
rray
a k
oen
igii
3931.37
3898.25
3865.99
3823.73
3747.70
3669.89
3642.47
3598.34
3555.86
3493.80
3430.58
3398.80
3355.11
3305.82
3226.43
3194.31
3115.87
3069.44
2983.55
2953.78
2918.55
2835.48
2760.89
2699.88
2634.16
2549.46
2475.41
2426.34
2361.81
2330.63
2283.25
2199.67
2133.04
2104.86
2072.29
2040.51
1992.46
1869.73
1833.02
1721.01
1646.02
1516.24
1451.10
1344.44
1233.29
1048.86
985.38
907.77
854.01
803.09
754.16
685.64
618.45
573.77
511.19
465.10
423.42500
1000
1500
2000
2500
3000
3500
Wavenum
ber cm
-1
0 20 40 60 80 100 120
Transmittance [%]
F
igu
re No
.9: F
TIR
spec
trum
of E
ud
rag
it RS
100
3925.70
3867.65
3807.24
3674.51
3616.27
3564.80
3426.33
3382.48
3307.77
3282.60
3253.85
3188.07
3139.71
3112.26
3001.15
2924.61
2855.02
2734.32
2704.07
2591.86
2412.44
2381.43
2336.60
2303.65
2252.32
2213.49
2072.88
1997.43
1926.13
1847.01
1747.13
1583.91
1469.13
1434.39
1383.96
1272.06
1229.04
1144.20
1097.23
1022.27
849.49
724.44
656.57
575.75
534.55
489.65
500
1000
1500
2000
2500
3000
3500
Wavenum
ber cm
-1
0 20 40 60 80 100 120 140
Transmittance [%]
MK
K
AD
IP
AT
TA
+ E
RS
100.0 R
. L
. Jad
hav
Satara C
olleg
e o
f P
harm
acy, S
atara
2/22/2017 4:42:52 P
M
Fig
ure N
o.1
0: IR
spec
tra
of P
hy
sical m
ixtu
re o
f Mu
rray
a k
oen
igii ex
tra
ct an
d E
ud
rag
it RS
100
Po
on
am
Ja
dh
av. / In
terna
tion
al J
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esearch
in P
ha
rma
ceutica
l an
d N
an
o S
ciences. 7
(5), 2
01
8, 1
75
-19
9.
Av
ailable o
nlin
e: ww
w.u
pto
dateresearch
pu
blicatio
n.co
m S
eptem
ber –
Octo
ber 1
90
3947.11
3887.54
3850.39
3784.38
3743.17
3683.66
3617.19
3560.71
3501.82
3407.41
3351.65
3289.11
3195.39
3128.83
3035.71
3000.84
2921.37
2846.18
2792.64
2760.73
2688.85
2645.89
2562.86
2489.44
2416.84
2365.15
2328.75
2244.08
2181.88
2148.28
2116.96
2060.83
2002.92
1920.35
1872.82
1833.62
1732.64
1706.70
1649.00
1522.71
1455.94
1424.99
1373.04
1314.64
1132.46
1072.00
1029.02
915.23
831.27
741.10
691.59
665.97
604.74
563.06
518.27
486.55
430.52
500
1000
1500
2000
2500
3000
3500
Wavenum
ber cm
-1
0 10 20 30 40 50 60
Transmittance [%]
PO
LY
VIN
YL
A
LC
OH
OL
.0 R
. L
. Jad
hav
Satara C
olleg
e o
f P
harm
acy, S
atara
12/31/2016 2:52:30 P
M
Fig
ure N
o.1
1: F
TIR
spectru
m o
f po
lyv
iny
l alco
ho
l
3931.62
3898.49
3852.75
3742.64
3677.69
3647.02
3616.73
3565.39
3414.70
3360.93
3313.30
3291.15
3245.04
3172.82
3119.49
3069.13
3001.29
2943.91
2893.11
2835.12
2788.99
2765.11
2689.44
2616.62
2584.04
2520.10
2425.30
2361.56
2327.06
2235.87
2181.24
2150.97
2066.16
1991.41
1917.87
1868.84
1832.89
1793.01
1742.68
1699.30
1649.19
1518.38
1458.77
1424.23
1395.97
1317.22
1274.40
1196.41
1133.82
1036.24
984.40
922.09
846.00
748.30
671.89
608.14
519.31
465.55
448.20
500
1000
1500
2000
2500
3000
3500
Wavenum
ber cm
-1
0 20 40 60 80 100 120 140
Transmittance [%]
PO
LY
VIN
YL
A
LC
OH
OL
+
MU
RR
AY
A K
OE
NIG
II E
XT
RA
CT
.0 R
. L
. Jad
hav
Satara C
olleg
e o
f P
harm
acy, S
atara
12/31/2016 3:00:39 P
M
Fig
ure N
o.1
2: IR
spec
tra
of p
hysica
l mix
ture o
f Mu
rray
a k
oen
igii ex
tra
ct an
d P
VA
3937.73
3897.35
3860.84
3829.01
3770.20
3720.68
3678.04
3624.03
3591.32
3561.98
3513.97
3489.39
3445.89
3413.88
3367.24
3336.12
3304.00
3265.58
3232.63
3155.76
3126.28
3065.72
3048.74
2989.68
2957.67
2889.51
2840.04
2807.43
2763.47
2721.26
2667.30
2628.97
2564.48
2470.27
2408.75
2355.91
2267.75
2198.01
2170.04
2124.62
2039.94
1996.81
1914.91
1832.75
1706.86
1563.62
1514.39
1449.37
1411.97
1240.31
1170.95
1112.26
1031.72
891.03
802.58
636.49
587.51
532.51
496.69
460.47
444.15
427.58
500
1000
1500
2000
2500
3000
3500
Wavenum
ber cm
-1
20 40 60 80 100
Transmittance [%]
CA
RB
OP
OL
934.1 R
. L
. Jad
hav
Satara C
olleg
e o
f P
harm
acy, S
atara
12/31/2016 2:41:56 P
M
Fig
ure N
o.1
3: IR
spec
tra
of C
arb
op
ol 9
34
3939.69
3907.89
3881.89
3851.57
3744.92
3707.91
3611.12
3564.46
3530.11
3450.52
3405.32
3099.93
3043.58
2881.52
2821.19
2792.67
2731.48
2671.90
2580.23
2539.62
2359.92
2316.99
2176.13
2142.44
2114.20
2036.02
1957.14
1890.51
1704.57
1446.83
1413.68
1231.55
1169.35
1063.85
1019.70
896.40
798.48
735.27
615.70
542.30
519.42
458.32
500
1000
1500
2000
2500
3000
3500
Wavenum
ber cm
-1
0 20 40 60 80 100 120 140 160
Transmittance [%]
MK
K
AD
IP
AT
TA
+C
AP
934.0 R
. L
. Jad
hav
Satara C
olleg
e o
f P
harm
acy, S
atara
2/22/2017 4:36:19 P
M
Fig
ure N
o.1
4: IR
spec
tra
of P
hy
sical m
ixtu
re o
f Mu
rray
a k
oen
igii ex
tra
ct an
d C
arb
op
ol 9
34
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Figure No.15: Optical and Binocular microscope images of nanosponges
Figure No.16: Percent production yield of nanosponges
Figure No.17: Percent Entrapment efficiency of nanosponges
Figure No.18: Percent Actual drug content of nanosponges
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Figure No.19: SEM of Nanosponges of Murraya Koenigii extract
Figure No.20: Particle size of nanosponges
Figure No.21: Zeta Potential of nanosponges
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Figure No.22: In vitro diffusion study of formulations F1-F3
Figure No.23: In vitro diffusion study of formulations F4-F6
Figure No.24: In vitro diffusion study of formulations F7-F9
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Infra red spectroscopy
Blank nanosponges
3736.77
3617.23
3531.91
3483.34
3412.59
3270.57
2990.53
2947.52
1724.76
1441.89
1383.45
1234.44
1141.86
1020.58
986.83
908.02
845.92
752.37
671.57
659.99
580.18
554.38
500100015002000250030003500
Wavenumber cm-1
50
100
150
200
250
Transmittance [%]
Figure No.25: The IR Spectrum of blank nanosponge
Drug containing nanosponges
3939.36
3740.32
3647.73
3559.41
2988.74
2947.72
2794.02
2689.73
2551.41
2329.78
2240.18
2067.22
1895.80
1725.69
1442.80
1383.90
849.03
809.19
753.65
662.74
626.17
500100015002000250030003500
Wavenumber cm-1
020
40
60
80
100
Tra
nsmittance [%]
Figure No.26: The IR spectrum of drug containing nanosponges
Differential scanning Calorimetry (DSC)
Figure No.27: DSC of drug loaded nanosponges
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Figure No.28: DSC of Murraya koenigii containing gel
Figure No.29: Weight of animals after creating burn wound
Figure No.30: Surface area of burn wound
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Figure No.31: % of burn wound contraction
Day ‘0’
Group 1 Group 2 Group 3
Day ‘7’
Group 1 Group 2 Group 3
Day ‘14’
Group 1 Group 2 Group 3
Day ‘21’
Group 1 Group 2 Group 3
Poonam Jadhav. / International Journal of Research in Pharmaceutical and Nano Sciences. 7(5), 2018, 175-199.
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Day ‘28’
Group 1 Group 2 Group3
Figure No.32: Images of burn wound healing in rats
CONCLUSION
Burn wound injuries to the skin result in loss of its
protective function as a barrier to the
microorganism leading to the high risk of infection.
Thus burn wound patient face high morbidity than
mortality because of the large uncovered burns
getting infected; healing of wound takes place long
period of dressing, leading to deformities and
contractures. Managing burn injuries properly is
important because they are painful and can cause
disabling scarring, exclusion of affected parts or
even death in severe cases. Problems such as
infection, electrolyte imbalance, shock and
respiratory suffering may occur. Herbal drugs have
gained more popularity during last decade
throughout the world. It had been used by 80% of
population in developing countries. Herbal drug
contains many phytoconstituents and some of them
are important active phytoconstituents. These
herbals when formulated should contain similar
quantity of these constituents as that of original
herb. Nanosponges are mesh like structure and due
to their small size and porous nature. They can
easily bind poorly water soluble drug. The F6 batch
showed very fine, spherical and free flowing
nanosponges. By formulating nanosponges we got
free flowing drug loaded nanosponges. Further
Nanosponges having Murraya koenigii
implemented in gel and In-vivo activity was
checked. It was concluded that prepared
formulation F6 showed significant burn wound
healing activity.
ACKNOWLEDGEMENT
We, the authors, very much greatful to Dr. N.H.
Aloorkar (Principal, Satara College of Pharmacy,
Satara), Dr. A.S. Kulkarni (Vice- Principal, Satara
College of Pharmacy, Satara), Dr. S. H. Mujumdar
(H.O.D., Dept. of Pharmaceutics, Satara College of
Pharmacy, Satara), Dr. S.S. Gilda (H.O.D.,
Department of QAT, Satara College of Pharmacy,
Satara) for their valuable guidance and technical
suggestion and also for their support to make this
article with full of information in every aspect.
CONFLICT OF INTEREST
We declare that we have no conflict of interest.
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Please cite this article in press as: Poonam Jadhav. Formulation and evaluation of nanosponges containing murraya
koenigii extract for burn wound healing, International Journal of Research in Pharmaceutical and Nano Sciences,
7(5), 2018, 175-199.