Literature DB >> 24291758

Influences of the substrate feeding regime on methanogenic activity in biogas reactors approached by molecular and stable isotope methods.

Z Lv1, A F Leite1, H Harms2, H H Richnow3, J Liebetrau4, M Nikolausz5.   

Abstract

In order to better understand the effects of the substrate feeding regime on methanogenesis during anaerobic digestion in biogas reactors, four continuous stirred tank reactors operated under mesophilic conditions were investigated. In addition to standard physicochemical parameters, the stable isotopic signatures of CH4 and CO2 before and after daily feeding were analyzed. The activity of the methanogens was assessed by methyl coenzyme M reductase alpha-subunit (mcrA/mrtA) gene transcript analysis. Two different feeding regimes i.e. single vs. double consecutive feeding of the otherwise same daily maize silage load were investigated. During the first phase, a single feeding of the whole daily dose increased the biogas production within 70-80 min from around 0.5 to 2.0 L/h. This increase was associated with a transient increase of the acetic acid concentration and a corresponding decrease of the pH. Only moderate increase in biogas yield and VFA concentration (mainly acetate) was observed when the daily substrate was apportioned into two feedings. However, the overall daily gas production was similar in both cases. Regardless of the feeding regime, significantly depleted δ(13)CH4 and minor changes in the CO2 content of biogas were observed after feeding, which were followed by enrichment of δ(13)CH4. This period was associated with detectable changes in activity of methanogenic communities monitored by terminal restriction fragment length polymorphism analysis based on the transcripts of mcrA/mrtA genes. Methanoculleus and Methanobacterium spp. were the predominant methanogens in all reactors, while Methanosarcina spp. activity was only significant in two reactors. The activity of Methanoculleus and Methanosarcina spp. increased after the feeding in these reactors, which was followed by a depletion of δ(13)C in the produced gas. In both reactors, the less depleted isotopic values were detected before the second feeding, when Methanobacterium was the most active genus. Variations in reactor performance and methanogenic community characteristics were attributed to inoculum heterogeneity and stochastic factors during the reactor set up.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biogas; Methanogenic activity; Molecular tools; Stable isotope approach; mcrA; mrtA

Mesh:

Substances:

Year:  2013        PMID: 24291758     DOI: 10.1016/j.anaerobe.2013.11.005

Source DB:  PubMed          Journal:  Anaerobe        ISSN: 1075-9964            Impact factor:   3.331


  6 in total

1.  Changing Feeding Regimes To Demonstrate Flexible Biogas Production: Effects on Process Performance, Microbial Community Structure, and Methanogenesis Pathways.

Authors:  Daniel Girma Mulat; H Fabian Jacobi; Anders Feilberg; Anders Peter S Adamsen; Hans-Hermann Richnow; Marcell Nikolausz
Journal:  Appl Environ Microbiol       Date:  2015-10-23       Impact factor: 4.792

2.  Assessment of the start-up process of anaerobic digestion utilizing swine manure: 13C fractionation of biogas and microbial dynamics.

Authors:  Zuopeng Lv; Jiazhuo Liang; Xin Chen; Zhongbing Chen; Jihong Jiang; Gary J Loake
Journal:  Environ Sci Pollut Res Int       Date:  2019-03-21       Impact factor: 4.223

3.  Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production.

Authors:  Celina Dittmer; Benjamin Ohnmacht; Johannes Krümpel; Andreas Lemmer
Journal:  Microorganisms       Date:  2022-04-12

4.  Improved Monitoring of Semi-Continuous Anaerobic Digestion of Sugarcane Waste: Effects of Increasing Organic Loading Rate on Methanogenic Community Dynamics.

Authors:  Athaydes Francisco Leite; Leandro Janke; Zuopeng Lv; Hauke Harms; Hans-Hermann Richnow; Marcell Nikolausz
Journal:  Int J Mol Sci       Date:  2015-09-25       Impact factor: 5.923

5.  Lessons learned from the microbial ecology resulting from different inoculation strategies for biogas production from waste products of the bioethanol/sugar industry.

Authors:  Athaydes Francisco Leite; Leandro Janke; Hauke Harms; Hans-Hermann Richnow; Marcell Nikolausz
Journal:  Biotechnol Biofuels       Date:  2016-07-16       Impact factor: 6.040

6.  Determining Biogenic Content of Biogas by Measuring Stable Isotopologues 12CH₄, 13CH₄, and CH₃D with a Mid-Infrared Direct Absorption Laser Spectrometer.

Authors:  Teemu Kääriäinen; Craig A Richmond; Albert Manninen
Journal:  Sensors (Basel)       Date:  2018-02-07       Impact factor: 3.576

  6 in total

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