journal article·2020-04-09Open access

Biomethane Potential Test: Influence of Inoculum and the Digestion System

Benedikt Hülsemann, Lijun Zhou, Wolfgang Merkle, Juli Hassa, Joachim Müller, Hans Oechsner

Applied Sciences· Volume 10· Issue 7

Abstract

High precision of measurement of methane potential is important for the economic operation of biogas plants in the future. The biochemical methane potential (BMP) test based on the VDI 4630 protocol is the state-of-the-art method to determine the methane potential in Germany. The coefficient of variation (CV) of methane yield was >10% in several previous inter-laboratory tests. The aim of this work was to investigate the effects of inoculum and the digestion system on the measurement variability. Methane yield and methane percentage of five substrates were investigated in a Hohenheim biogas yield test (D-HBT) by using five inocula, which were used several times in inter- laboratory tests. The same substrates and inocula were also tested in other digestion systems. To control the quality of the inocula, the effect of adding trace elements (TE) and the microbial community was investigated. Adding TE had no influence for the selected, well- supplied inocula and the community composition depended on the source of the inocula. The CV of the specific methane yield was <4.8% by using different inocula in one D-HBT (D-HBT1) and <12.8% by using different digestion systems compared to D-HBT1. Incubation time between 7 and 14 days resulted in a deviation in CV of <4.8%.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Anaerobic Digestion and Biogas Production · Wastewater Treatment and Nitrogen Removal · Biofuel production and bioconversion

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, 70599 Stuttgart, Germany

Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469 Potsdam, Germany

Institute of Agricultural Engineering, Tropics and Subtropics Group, University of Hohenheim, 70599 Stuttgart, Germany

Funding

Fachagentur Nachwachsende Rohstoffe

References (49)

Show source-provided references
1. BMU (2009). Renewable Energy Sources Act (EEG), Federal Ministry of Enviroment, Nature Conservation and Nuclear Safety.
2. Biochemical methane potential (BMP) of solid organic substrates: Evaluation of anaerobic biodegradability using data from an international interlaboratory study10.1002/jctb.2622 ↗
3. Defining the biomethane potential (BMP) of solid organic wastes and energy crops: A proposed protocol for batch assays10.2166/wst.2009.040 ↗
4. Towards a standardization of biomethane potential tests10.2166/wst.2016.336 ↗
5. VDI 4630 (2016). Fermentation of Organic Materials—Characterisation of the Substrate, Sampling, Collection of Material Data, Fermentation Tests, Verlag des Vereins Deutscher Ingenieure.
6. Murphy, J.D. (2018). KTBL/VDLUFA-Proficiency Test Biogas. Value of Batch Tests for Biogas Potential Analysis, Method Comparison and Challenges of Substrate and Efficiency Evaluation of Biogas Plants, IEA Bioenergy Task.
7. Murphy, J.D. (2018). Value of Batch Tests for Biogas Potential Analysis, Method Comparison and Challenges of Substrate and Efficiency Evaluation of Biogas Plants, IEA Bioenergy Task.
8. Holliger, C., Fruteau de Laclos, H., and Hafner, S. (2017, January 17–20). Report on International Inter-Laboratory Study on BMP Tests. Proceedings of the 15th IWA World Conference on Anaerobic Digestion, Beijing, China.
9. Cresson, R., Pommier, S., Béline, F., and Bouchez, T. (2015, January 15–18). Results from a French Inter-Laboratory Campaign on the Biological Methane Potential of Solid Substrates. Proceedings of the World Congress on Anaerobic Digestion, Vina del Mar, Chile.
10. Validation and recommendation of methods to measure biogas production potential of animal manure10.5713/ajas.2012.12623 ↗
11. Algorithms for calculating methane and nitrous oxide emissions from manure management10.1023/B:FRES.0000029678.25083.fa ↗
12. Inoculum selection influences the biochemical methane potential of agro-industrial substrates10.1111/1751-7915.12268 ↗
13. Relationship between microbial activity and microbial community structure in six full-scale anaerobic digesters10.1016/j.micres.2012.06.002 ↗
14. Influence of Inoculum Source and Pre-incubation on Bio-Methane Potential of Chicken Manure and Corn Stover10.1007/s12010-013-0335-7 ↗
15. Anaerobic biodegradability of Category 2 animal by-products: Methane potential and inoculum source10.1016/j.biortech.2012.08.022 ↗
16. Biochemical methane potential (BMP) of food waste and primary sludge: Influence of inoculum pre-incubation and inoculum source10.1016/j.biortech.2012.01.025 ↗
17. Effects of inoculum to substrate ratio, substrate mix ratio and inoculum source on batch co-digestion of grass and pig manure10.1016/j.biortech.2013.07.051 ↗
18. Factors in the determination of methanogenic potential of manure10.1016/j.biortech.2011.05.044 ↗
19. The role of inoculum’s origin on the methane yield of different substrates in biochemical methane potential (BMP) tests10.1016/j.biortech.2017.06.142 ↗
20. Towards eliminating systematic errors caused by the experimental conditions in Biochemical Methane Potential (BMP) tests10.1016/j.wasman.2014.07.018 ↗
21. Potential errors in the quantitative evaluation of biogas production in anaerobic digestion processes10.1016/j.biortech.2009.07.018 ↗
22. The Hohenheim biogas yield test
23. Repeatability of a laboratory batch method to determine the specific biogas and methane yields10.1002/elsc.201100181 ↗
24. Correlation between biogas yield and chemical composition of energy crops10.1016/j.biortech.2014.10.019 ↗
25. Effect of particle size reduction and ensiling fermentation on biogas formation and silage quality of wheat straw10.1016/j.biortech.2017.08.137 ↗
26. Optimization of hydrolysis and volatile fatty acids production from sugarcane filter cake: Effects of urea supplementation and sodium hydroxide pretreatment10.1016/j.biortech.2015.07.117 ↗
27. Effects on the biogas and methane production of cattle manure treated with urease inhibitor10.1016/j.biombioe.2015.02.014 ↗
28. Oechsner, H., Lemmer, A., Ramhold, D., Mathies, E., Mayrhuber, E., and Preissler, D. (2010). Method for Producing Biogas in Controlled Concentrations of Trace Elements. (U.S. Patent 20,100,304,457A1).
29. Takahashi, S., Tomita, J., Nishioka, K., Hisada, T., and Nishijima, M. (2014). Development of a prokaryotic universal primer for simultaneous analysis of Bacteria and Archaea using next-generation sequencing. PLoS ONE, 9.10.1371/journal.pone.0105592 ↗
30. FLASH: Fast length adjustment of short reads to improve genome assemblies10.1093/bioinformatics/btr507 ↗
31. Cutadapt removes adapter sequences from high-throughput sequencing reads10.14806/ej.17.1.200 ↗
32. Joshi, N.A., and Fass, J.N. (2019, May 15). A Sliding-Window, Adaptive, Quality-Based Trimming Tool for FastQ Files. Available online: https://github.com/najoshi/sickle.
33. QIIME allows analysis of high-throughput community sequencing data10.1038/nmeth.f.303 ↗
34. Metagenome, metatranscriptome, and metaproteome approaches unraveled compositions and functional relationships of microbial communities residing in biogas plants10.1007/s00253-018-8976-7 ↗
35. Cellulose Catabolism by Clostridium cellulolyticum Growing in Batch Culture on Defined Medium10.1128/AEM.66.6.2461-2470.2000 ↗
36. Dynamic variation of the microbial community structure during the long-time mono-fermentation of maize and sugar beet silage10.1111/1751-7915.12263 ↗
37. Marker microbiome clusters are determined by operational parameters and specific key taxa combinations in anaerobic digestion10.1016/j.biortech.2018.04.111 ↗
38. Microbial management of anaerobic digestion: Exploiting the microbiome-functionality nexus10.1016/j.copbio.2015.01.008 ↗
39. Isolation of acetic, propionic and butyric acid-forming bacteria from biogas plants10.1016/j.jbiotec.2016.01.008 ↗
40. Reorganisation of a mesophilic biogas microbiome as response to a stepwise increase of ammonium nitrogen induced by poultry manure supply10.1016/j.biortech.2016.02.104 ↗
41. Deeper insight into the structure of the anaerobic digestion microbial community; the biogas microbiome database is expanded with 157 new genomes10.1016/j.biortech.2016.05.081 ↗
42. Performance and microbial community analysis of the anaerobic reactor with coke oven gas biomethanation and in situ biogas upgrading10.1016/j.biortech.2013.07.049 ↗
43. Metagenomic binning reveals the functional roles of core abundant microorganisms in twelve full-scale biogas plants10.1016/j.watres.2018.04.043 ↗
44. Metagenome and metaproteome analyses of microbial communities in mesophilic biogas-producing anaerobic batch fermentations indicate concerted plant carbohydrate degradation10.1016/j.syapm.2013.03.006 ↗
45. Complete genome sequence of the strain Defluviitoga tunisiensis L3, isolated from a thermophilic, production-scale biogas plant10.1016/j.jbiotec.2015.03.006 ↗
46. A novel archaeal species belonging to Methanoculleus genus identified via de-novo assembly and metagenomic binning process in biogas reactors10.1016/j.anaerobe.2017.02.009 ↗
47. Analysis of bacterial communities and bacterial pathogens in a biogas plant by the combination of ethidium monoazide, PCR and Ion Torrent sequencing10.1016/j.watres.2014.04.047 ↗
48. Effect of ensiling on the specific methane yield of maize
49. Hohenheim biogas yield test—Comparing theoretical yields with actual batch yields