effect of oxytetracycline on biogas production and active microbial populations during batch...
TRANSCRIPT
ORIGINAL PAPER
Effect of oxytetracycline on biogas production and activemicrobial populations during batch anaerobic digestionof cow manure
Bahar Ince • Halil Coban • Gokhan Turker •
Emine Ertekin • Orhan Ince
Received: 7 April 2012 / Accepted: 6 August 2012 / Published online: 21 August 2012
� Springer-Verlag 2012
Abstract The aim of this study was to investigate the
effect of a common veterinary antibiotic in biogas plants.
20 mg/kg of oxytetracycline was intramuscularly injected
into a cow and its concentration in manure, which was
sampled daily during the following 20 days, was measured.
A total of 20 % of the injected oxytetracycline was detected
in manure. Collected manure samples on days 1, 2, 3, 5, 10,
15, and 20 were digested in triplicate serum bottles at 37 �C
for 30 days. Control serum bottles produced 255 ± 13 mL
biogas, whereas 50–60 % inhibitions were obtained for the
serum bottles operated with samples collected for the 5 days
after medication. Multivariate statistics used for the evalu-
ation of FISH results showed that Methanomicrobiales were
the main methanogenic group responsible for most of
the biogas production. Numbers of active Bacteria and
Methanomicrobiales were negatively correlated with the
presence of oxytetracycline, whereas Methanosarcinales and
Methanobacteriales were less affected.
Keywords Oxytetracycline � Fluorescent in situ
hybridization � Biogas � Anaerobic digestion � Redundancy
analysis (RDA)
Introduction
Antimicrobials, which are used to treat diseases, prevent
infections, as well as promote growth, make up about 70 %
of all used pharmaceuticals in veterinary medicine [1].
These compounds are not completely metabolized in the
body and are excreted via manure [2]. Oxytetracycline
(OTC) is a broad spectrum antibiotic which enters the
microbial cells and binds to ribosome to prevent binding of
aminoacyl tRNA, and is widely used to treat livestock
animals due to its low cost and low side effects [3]. Its
intense use generally results with its occurrence in manure
and further in biogas plants when manure is used as a
substrate [4]. Although there are several studies regarding
effects of OTC on biogas production, studies on the effects
of OTC on the microbiology of manure digesters are rather
limited [4–6]. Moreover, most of the studies are conducted
by adding antibiotics into the digester or using manure
from antibiotic-fed animals, and information on the effect
after intramuscular medication is almost absent despite
intramuscular injection being one of the main medication
methods. Therefore, the objective of this study is to
determine the effect of OTC excreted in manure from
intravascular medicated cows, both in terms of biogas
production and microbial groups involved in reactors.
Materials and methods
Chemicals
Oxytetracycline (Mw = 460, CAS no. 79-57-2) was sup-
plied by Acros Organics N.V (NJ, USA). HPLC grade
methanol, acetonitrile, oxalic acid, and citric acid were
obtained from Merck (NJ, USA). All other chemicals used
B. Ince � H. Coban � G. Turker � E. Ertekin (&)
Institute of Environmental Sciences, Bogazici University,
Bebek, 34342 Istanbul, Turkey
e-mail: [email protected]
Present Address:H. Coban
UFZ - Helmholtz Centre for Environmental Research,
Department of Environmental Biotechnology,
Permoserstr. 15, 04318 Leipzig, Germany
O. Ince
Department of Environmental Engineering, Istanbul Technical
University, Maslak, 34469 Istanbul, Turkey
123
Bioprocess Biosyst Eng (2013) 36:541–546
DOI 10.1007/s00449-012-0809-y
in this study were of analytical grade. Double distilled
water used in this study was obtained using a Millipore
water purification system (Millipore Corporation, MA,
USA).
Animal medication and manure sampling
Manure samples of a Holstein race (3.5-year-old, 440 kg
body mass) dairy cow, which was kept in a barn belonging
to the Faculty of Veterinary Medicine, Istanbul University,
were used as the substrate for serum bottle tests. The
manure in the rectum was collected and stored at 4 �C until
future use as the control manure. The dairy cow was then
medicated once with Oxytetracycline injection solution
(20 mg OTC/kg animal weight) according to the standard
dosage in veterinary practice. Equal doses were injected to
the right and left body sides between the musculus semi-
tendinosus and musculus semimembranosus muscles.
Manure samples (around 1 kg) were collected from the
rectum daily for 20 days and used throughout experiments
after the OTC concentration was determined by HPLC.
Determination of extraction efficiencies for OTC
and method of HPLC analysis
Manure samples were extracted in triplicate by a method
modified from a previous study [7]. Briefly, 5 g of wet
manure was placed into 50 mL polycarbonate centrifuge
tubes with 0.5 g oxalic acid (C2O4H2�2H2O), 4 mL acetic
acid, and 7.5 mL of 90 % methanol, and shaken at 100 rpm
for 30 min. The tubes were further centrifuged at
11,000 rpm for 10 min. This procedure was repeated for 3
times and the supernatants were collected in 50 mL volu-
metric flasks. Collected supernatants (30 mL ± 5–10 %)
were diluted to a 50 mL volumetric curve with double
distilled water and centrifuged again at 14,000 rpm for
3 min and filtrated through 0.2 lm Millipore filters. The
extracts were kept in 2 mL amber vials at -20 �C until the
day of the HPLC analysis. The HPLC instrument (Schi-
madzu LC-10 AD) was equipped with an UV detector; (UV
VIS Detector, SPD 10-A), an autosampler; (SIL-10 AD), a
degasser (DGU-14A), and a system controller (SCL-10A).
The column used in this study was Inertsil ODS-3 HPLC
column (25 cm 9 4.6 mm). Degassing of the solvents was
achieved by sonication in a transonic ultrasonic bath
(ELMA D-78224, Singen/Htw) prior to use. The mobile
phase consisted of 75 % 0.1 M oxalic acid buffer and 25 %
Methanol: Acetonitrile (1:1.5) solution which was deliv-
ered isocratically at a flow rate of 1 mL/min. The total run
time was 30 min. The wavelength for the detection of
oxytetracycline was 357 nm at which the retention time
was 7.3 ± 0.1 min. The minimum detectable concentration
was 0.01 mg/L.
All results were analyzed by the system software; Class
VP Schimadzu Scientific Instruments Inc. In order to
determine extraction efficiencies, triplicate samples of non-
medicated manure were spiked with OTC in concentrations
given in Table 1 and incubated for 3 h and extracted as
described above. Recovery results shown in Table 1 were
calculated as means of triplicate samples at each
concentration.
Serum bottle tests
Manure samples collected after days 1, 2, 3, 4, 5, 10, 15, 20
of medication were used in the serum bottle tests. Exper-
iments were carried out batch-wise in 120 mL serum bot-
tles for 30 days with a working volume of 40 mL. Manure
samples were diluted with tap water to total solids (TS)
concentration of 5 % as a usual practice in commercial
farm operations [8]. Seed was obtained from a lab-scale
manure digester and added to the manure slurry at a ratio of
1:4 (Inoculum: Substrate). On operation days 0, 10, 20, and
30, biogas samples were collected from headspace, and
samples for biogas and molecular analyses were collected
every 10 days by sacrificing a set of serum bottles
appointed to each sampling time. The experiment set was
incubated in a temperature-controlled room at 37 ± 1 �C
for 30 days on an automatic shaker operated at 120 rpm.
All of the serum bottles were run in triplicate.
Total carbon, total nitrogen, Total Kjeldahl nitrogen
(TKN), total solids, and total volatile solids (TVS) mea-
surements were carried out according to the American
Public Health Association’s [9] guidelines. Characteristics
of manure samples are given in Table 2. Gas pressures
were measured using a manometer (HACH PM-9107) for
calculations of biogas production. Gas compositions were
determined using a Gas Chromatograph HP Agilent 6850
with a thermal conductivity detector and HP Plot Q Col-
umn (30 m, 530 lm). The carrier gas was Helium with an
inlet column flow of 5.4 mL/min.
Determination of active microbial populations
Every 10 days of the operation, 5 mL of sample from the
serum bottles was transferred into sterile containers, diluted
with absolute ethanol (1:1, v/v) and fixed according to a
Table 1 Recovery rates of OTC in manure
Concentration in
manure (mg/kg)
Recovery
rate (%)
200 92 ± 0.1
20 85 ± 0.2
5 80 ± 0.1
0.5 86 ± 0.9
542 Bioprocess Biosyst Eng (2013) 36:541–546
123
protocol described previously [10]. Samples were taken
from the control serum bottle and serum bottles operated
with the 2nd, 10th, and 15th day manures as representative
to the level of biogas inhibition. Hybridization and visu-
alization of samples were carried out according to a pre-
vious study [11], except that 50–75 times dilution of the
fixed samples was spotted on Teflon-coated slides. Probes
used in this study were EUB338 [12], MB310, MG1200,
MS1414, and MSMX860 [13] for the detection of Bacteria,
Methanobacteriales, Methanomicrobiales, Methanosarcin-
aceae, and Methanosarcinales (complete acetoclastic
methanogens), respectively. For the detection of non-spe-
cific bindings, NON338 probe was used as the negative
control [14]. These probes were selected in reference to the
most frequently detected groups of methanogens in biogas
digesters. Results were reported as the total cell number
which gave a positive signal to the specified probe per mL.
Statistical analyses
Significant differences were determined at 0.05 level by
one sample t test by means of SPSS 11.5 (SPSS Inc., USA).
Redundancy analysis (RDA) was applied in order to
investigate the relation between microbial community
dynamics and environmental variables (Canoco 4.5,
Biometris, the Netherlands).
Results and discussion
Excretion of injected OTC in manure
Approximately 20 % of injected OTC was detected in the
manure samples during 20 days of collection (Table 3). The
total amount of OTC in the manure was calculated by mul-
tiplying the OTC concentration with the total manure pro-
duction which is 118 g manure/kg body weight [15] daily. A
manure sample which was collected on day 1 showed the
highest OTC concentration (10.38 ± 0.22 mg/kg). On the
4th day of collection, there was an increase in the OTC
concentration, but the level decreased after that rapidly until
the 13th day of collection (Fig. 1). Although studies on the
fate of OTC in manure after oral administration are plenty,
information on intramuscular medication has not been
reported. Our results indicated 80 % of OTC was either
absorbed and/or degraded to metabolites; theoretically, the
absorption rate of Tetracyclines can vary between 10 and
90 % [16]. According to similar studies reported in the lit-
erature, a total of 23 % of the oral-fed OTC was recovered
from the manure of beef calves [17], and about 10 mg/kg
OTC was detected in a fivefold diluted manure slurry of an
orally medicated calf [16]. Tetracyclines have been found in
Table 2 Characteristics of manure samples used in serum bottle tests
Manure
collection day
TS
(%)
TVS
(%)
TKN
(mg/kg)
C/Na
Day 0
C/Na
Day 30
0 (Control) 20 16 11,500 4.7 3.8
1 14 12 10,500 4.2 3.4
2 15 13 14,000 4.6 3.7
3 14 12 12,500 4.2 3.5
5 12 10 13,000 3.7 3.1
10 14 12 14,000 3.9 3.2
15 15 12 11,000 3.5 3.0
20 15 12 11,000 4.2 3.5
Table 3 Daily OTC concentra-
tion in manureManure
sampling the
day after
medication
Concentration
in manure
(mg/kg)
1 10.38
2 4.54
3 4.13
4 6.35
5 3.71
6 1.15
7 1.13
8 0.61
9 0.34
10 0.45
11 0.30
12 0.25
13 0.00
14 0.00
15 0.00
16 0.00
17 0.00
18 0.00
19 0.00
20 0.00
Fig. 1 Concentrations of OTC for 20 days of manure collection
Bioprocess Biosyst Eng (2013) 36:541–546 543
123
manure as low as 0.1 mg/kg [18]. All the differences
encountered in the literature can likely be due to adminis-
tration type of the drug, sampling and storage conditions, the
diets, general health of the animal, and type of animal.
Effects of OTC on anaerobic digestion performance
Serum bottle tests were run for 30 days, during which a
total of 255 ± 13 mL biogas was obtained in the control
bottles. At the end of 30 days of digestion, inhibitions in
terms of biogas production compared to the control serum
bottles were 46, 58, 57, 51, and 21 % for the manures
collected on days 1, 2, 3, 5, and 10 after treatment,
respectively (Fig. 2). Serum bottles operated with manure
samples collected on days 15 and 20 were not significantly
different from the control bottles in terms of biogas pro-
duction (p \ 0.05). The methane percentages in the biogas
were 58 ± 5 for all serum bottles at all sampling times. In
this study, 1.0–3.3 mg/L OTC in the slurries (calculated by
dividing the OTC concentration of the daily manure sam-
ples by the dilution ratio) resulted in 50–60 % decreases in
biogas production. In a previous study, 27 % inhibition in
cumulative biogas production was reported in which OTC
was given to beef calves orally and found in the manure
slurry in a concentration of 3.1 mg/L [4]. In another study,
tetracycline was found to inhibit methane production by
25 % in a swine manure digester [5]. In this case, although
the highest concentration of OTC was detected after the
first day of medication, the most severe inhibition on bio-
gas productions was observed in serum bottles operated
with manure samples collected on days 2 and 3. In serum
bottles operated with manure samples collected after the
5th day of medication, the level of inhibition decreased.
Manure samples collected on days 15 and 20 caused almost
no inhibition compared to the control bottles. These out-
comes can beneficially be utilized in practice in order to
prevent possible decreases in biogas production; manures
collected for the first 5 days after medication should be
mixed with non-medicated manure and/or manures col-
lected after the 10th day of medication prior to transition to
biogas plants. However, in commercial barns, generally all
of the animals are medicated, instead of just the sick ones,
to prevent contamination of diseases. This can cause higher
than expected levels of OTC in biogas plants, especially
when manure is used as the sole substrate for biogas pro-
duction. This challenge could be overcome by using other
substrates such as agro-crops, bio solids, food wastes, etc.
for co-digestion.
Changes in active microbial populations in serum
bottles
Active microbial groups in serum bottles were character-
ized using fluorescent rRNA-targeted oligonucleotide
probes specific for phylogenetically defined groups of
methanogens and total Bacteria. The numbers of active
cells detected by the specified probes per mL are given in
Table 4. FISH results showed an increase in all samples
until the 20th day of digestion after which the number of
active cells decreased. Detected methanogens belonged to
the groups of Methanobacteriales, Methanomicrobiales,
and Methanosarcinales. The cells identified as Methano-
sarcinacea were almost equal to the number of cells iden-
tified as Methanosarcinales. Thereby, it could be assumed
that Methanosaetaceae group was nearly non-existent in
the serum bottles. The similar community structure of
manure digesters have been reported in various sources
[20–22].
In order to evaluate results, redundancy analysis (RDA)
was used as a statistical approach, which is known as the
most generally effective ordination method for ecological
community data, and was also used in similar studies
determining microbial community Dynamics in biogas
plants [19]. Figure 3 shows the RDA plot showing the
FISH results where Eigenvalue was 0.829. In the case of
cumulative percentage variance, 82.9 and 87.8 % of
the species–species and species-environment relations,
respectively, were explained.
RDA analysis showed that biogas production was sig-
nificantly negatively correlated with OTC concentration as
those arrows directed opposite to each other. Biogas pro-
duction was found in a positive correlation with total
Bacteria and order Methanomicrobiales in the serum bot-
tles. Orders Methanobacteriales and Methanosarcinales
explained less variance on biogas production. This indi-
cates that most of the methane production was accom-
plished through the hydrogenotrophic pathway by
Methanomicrobiales spp. The case has also been suggested
previously where methanogenesis through the syntrophic
association between hydrogenotrophic methanogens and
bacteria such as Clostridium spp. [22–24] was reported inFig. 2 Cumulative biogas production in serum bottles after 30 days
544 Bioprocess Biosyst Eng (2013) 36:541–546
123
manure digesters [25]. The stability of methane percent-
ages in the produced biogas from the serum bottles showed
that there was a cease in carbon dioxide production as well.
This can be explained by the simultaneous inhibitory effect
of OTC on both bacteria and methanogens.
As seen, total bacteria and Methanomicrobiales were
negatively correlated with OTC. Consequently, it can be
said that effect of OTC was most viable on Methanomi-
crobiales, whereas Methanosarcinales and Methanobacte-
riales groups were comparatively less affected. However, it
should be kept in mind that this population structure was
reserved for batch systems, meaning that a washout of the
most susceptible groups to oxytetracycline would have
occured if the system was operated in a continuous manner.
Future studies focusing on the microbiology in earlier
stages of digesters exposed to tetracyclines would be
enlightening on these matters.
Conclusion
In this study, a total 10 % of the administrated OTC was
excreted in the manure. A discharge pattern could be
monitored daily. Around 1–3.3 mg/L OTC caused a
50–60 % decrease in biogas production in which the
methane percentage was stable. The collection time of
manure was identified as an important factor upon trans-
ferring manure to the biogas plants. Redundancy analysis
made for the evaluation of microbial dynamics with envi-
ronmental parameters provided sensible results and
revealed that a hydrogentrophic group, Methanomicrobi-
ales, was mostly associated with biogas production and was
the most affected group from the OTC. However, bacterial
groups that mediate earlier stages should also be examined
in future studies in order to reveal the effects on syntrophic
associations.
Acknowledgments This study was financially supported by the
Scientific and Technical Research Council of Turkey (TUBITAK,
Project No: 109Y275). The authors are thankful to the Pharmacology
and Toxicology Department of Istanbul University, Faculty of
Veterinary Medicine for animal medication and manure sampling.
Table 4 Numbers of active microbial cells in serum bottles (cells/ml)
Manure sampling
day
Digestion
day
Eubmix MB310 MG1200 MSMS1414 MSMX
Control 0 2.69 9 107 2.47 9 107 2.98 9 107 2.33 9 107 2.52 9 107
Control 10 6.83 9 107 4.64 9 106 8.14 9 107 2.31 9 106 2.51 9 106
Control 20 9.22 9 107 5.51 9 107 9.52 9 107 3.81 9 107 3.98 9 107
Control 30 6.67 9 106 4.90 9 106 5.98 9 106 3.65 9 106 2.98 9 106
2 0 3.41 9 107 1.01 9 107 1.23 9 107 9.07 9 106 8.22 9 106
2 10 3.37 9 107 8.79 9 106 1.63 9 107 1.70 9 107 2.06 9 107
2 20 3.98 9 107 1.29 9 107 2.39 9 107 1.76 9 107 2.67 9 107
2 30 2.31 9 106 1.36 9 106 8.38 9 106 4.31 9 106 3.85 9 106
10 0 3.90 9 107 6.63 9 106 1.23 9 107 1.03 9 107 1.08 9 107
10 10 3.83 9 107 1.54 9 107 4.36 9 107 1.08 9 107 1.46 9 107
10 20 6.23 9 107 2.00 9 107 4.17 9 107 2.84 9 107 2.94 9 107
10 30 6.22 9 106 3.73 9 106 1.12 9 107 6.96 9 106 7.46 9 106
15 0 3.30 9 107 1.58 9 107 5.80 9 106 1.94 9 107 1.46 9 107
15 10 6.01 9 107 1.18 9 107 5.15 9 107 1.22 9 107 1.30 9 107
15 20 8.62 9 107 2.09 9 107 1.19 9 108 4.37 9 107 5.12 9 107
15 30 8.85 9 106 2.97 9 106 5.06 9 106 2.92 9 106 2.85 9 106
Fig. 3 RDA analysis of FISH results with environmental parameters
Bioprocess Biosyst Eng (2013) 36:541–546 545
123
References
1. Kemper N (2008) Veterinary antibiotics in the aquatic and ter-
restrial environment. Ecol Ind 8:1–13
2. Jjemba PK (2002) The potential impact of veterinary and human
therapeutic agents in manure and biosolids on plants grown on
arable land: a review. Agric Ecosyst Environ 93:267–278
3. Schnappinger D, Hillen W (1996) Tetracyclines: antibiotic
action, uptake, and resistance mechanisms. Arch Microbiol 165:
359–369
4. Arikan OA, Sikora LJ, Mulbry W, Khan SU, Rice C, Foster GD
(2006) The fate and effect of oxytetracycline during the anaerobic
digestion of manure from therapeutically treated calves. Process
Biochem 41:1637–1643
5. Masse DI, Lu D, Masse L, Droste RL (2000) Effect of antibiotics
on psychrophilic anaerobic digestion of swine manure slurry in
sequencing batch reactors. Bioresour Technol 75:205–211
6. Alvarez JA, Otero L, Lema JM, Omil F (2010) The effect and fate
of antibiotics during the anaerobic digestion of pig manure.
Bioresour Technol 101:8581–8586
7. Yuan S, Wang Q, Yates SR, Peterson NG (2010) Development of
an efficient extraction method for oxytetracycline in animal
manure for high performance liquid chromatography analysis.
J Environ Sci Health Part B 45:612–620
8. Wilkie AC (2005) Anaerobic digestion of dairy manure: design
and process considerations. In: Proceedings of the Dairy Manure
Management Conference. Dairy Manure Management: treatment,
Handling, and Community Relations. National Resource, Agri-
culture, and Engineering Service, Ithaca, NY, pp 301–312
9. APHA (2005) Standard methods for the examination of water and
wastewater, 21st edn. Washington, DC
10. Harmsen HJ, Kengen HM, Akkermans AD, Stams AJ, de Vos
WM (1996) Detection and localization of syntrophic propionate-
oxidizing bacteria in granular sludge by in situ hybridization
using 16S rRNA-based oligonucleotide probes. Appl Environ
Microbiol 62:1656–1663
11. Ince O, Kolukirik M, Cetecioglu Z, Eyice O, Tamerler C,
Kasapgil Ince B (2007) Methanogenic and sulphate reducing
bacterial population levels in a full-scale anaerobic reactor
treating pulp and paper industry wastewater using fluorescence in
situ hybridisation. Water Sci Technol J Int Assoc Water Pollut
Res 55:183–191
12. Amann RI, Binder BJ, Olson RJ, Chisholm SW, Devereux R,
Stahl DA (1990) Combination of 16S rRNA-targeted oligonu-
cleotide probes with flow cytometry for analyzing mixed
microbial populations. Appl Environ Microbiol 56:1919–1925
13. Raskin L, Stromley JM, Rittmann BE, Stahl DA (1994) Group-
specific 16S rRNA hybridization probes to describe natural
communities of methanogens. Appl Environ Microbiol 60:
1232–1240
14. Wallner G, Amann R, Beisker W (1993) Optimizing fluorescent
in situ hybridization with rRNA-targeted oligonucleotide probes
for flow cytometric identification of microorganisms. Cytometry
14:136–143
15. Knowlton KF, Wilkerson VA, Casper DP, Mertens DR (2010)
Manure nutrient excretion by Jersey and Holstein cows. Dairy Sci
93:40–412
16. Agwuh KN, MacGowan A (2006) Pharmacokinetics and phar-
macodynamics of the tetracyclines including glycylcyclines.
J Antimicrob Chemother 58:256–265
17. Arikan OA, Sikora LJ, Mulbry W, Khan SU, Foster GD (2007)
Composting rapidly reduces levels of extractable oxytetracycline
in manure from therapeutically treated beef calves. Bioresour
Technol 98:169–176
18. Jacobsen AM, Halling-Sorensen B, Ingerslev F, Hansen SH
(2004) Simultaneous extraction of tetracycline, macrolide and
sulfonamide antibiotics from agricultural soils using pressurised
liquid extraction, followed by solid-phase extraction and liquid
chromatography-tandem mass spectrometry. J Chromatogr A
1038:157–170
19. Kim W, Lee S, Shin SG, Lee C, Hwang K, Hwang S (2010)
Methanogenic community shift in anaerobic batch digesters
treating swine wastewater. Water Res 44:4900–4907
20. Karakashev D, Batstone DJ, Trably E, Angelidaki I (2006)
Acetate oxidation is the dominant methanogenic pathway from
acetate in the absence of Methanosaetaceae. Appl Environ
Microbiol 72:5138–5141
21. Ike M, Inoue D, Miyano T, Liu TT, Sei K, Soda S, Kadoshin S
(2010) Microbial population dynamics during startup of a full-
scale anaerobic digester treating industrial food waste in Kyoto
eco-energy project. Bioresour Technol 101:3952–3957
22. Angenent LT, Sung S, Raskin L (2002) Methanogenic population
dynamics during startup of a full-scale anaerobic sequencing
batch reactor treating swine waste. Water Res 36:4648–4654
23. Schmidt JE, Mladenovska Z, Lange M, Ahring BK (2000) Ace-
tate conversion in anaerobic biogas reactors: Traditional and
molecular tools for studying this important group of anaerobic
microorganisms. Biodegradation 11:359–364
24. Demirel B, Scherer P (2008) The roles of acetotrophic and hy-
drogenotrophic methanogens during anaerobic conversion of
biomass to methane: a review. Rev Environ Sci Biotechnol
7:173–190
25. Schnurer A, Zellner G, Svensson BH (1999) Mesophilic syn-
trophic acetate oxidation during methane formation in biogas
reactors. FEMS Microbiol Ecol 29:249–261
546 Bioprocess Biosyst Eng (2013) 36:541–546
123