Literature DB >> 10099616

A comprehensive model of anaerobic bioconversion of complex substrates to biogas

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Abstract

A dynamic model describing the anaerobic degradation of complex material, and codigestion of different types of wastes, was developed based on a model previously described (Angelidaki et al., 1993). In the model, the substrate is described by its composition of basic organic components, i.e., carbohydrates, lipids, and proteins, the concentration of intermediates such as volatile fatty acids and long-chain fatty acids, and important inorganic components, i.e., ammonia, phosphate, cations, and anions. This allows dynamic changes of the process during a shift of substrate composition to be simulated by changing the input substrate data. The model includes 2 enzymatic hydrolytic steps, 8 bacterial steps and involves 19 chemical compounds. The model also includes a detailed description of pH and temperature characteristics. Free ammonia, acetate, volatile fatty acids, (VFA) and long-chain fatty acids (LCFA) constitute the primary modulating factors in the model. The model was tested with success in lab-scale reactors codigesting manure with glycerol trioleate or manure with gelatin. Finally, the model was validated using results from a full-scale biogas plant codigesting manure together with a proteinous wastewater and with bentonite-bound oil, which is a waste with high content of lipids. Copyright 1999 John Wiley & Sons, Inc.

Entities:  

Year:  1999        PMID: 10099616     DOI: 10.1002/(sici)1097-0290(19990505)63:3<363::aid-bit13>3.0.co;2-z

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  12 in total

1.  Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques.

Authors:  Luz Alejo; John Atkinson; Víctor Guzmán-Fierro; Marlene Roeckel
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-16       Impact factor: 4.223

2.  BEAP profiles as rapid test system for status analysis and early detection of process incidents in biogas plants.

Authors:  Sarah Refai; Stefanie Berger; Kati Wassmann; Melanie Hecht; Thomas Dickhaus; Uwe Deppenmeier
Journal:  J Ind Microbiol Biotechnol       Date:  2017-01-07       Impact factor: 3.346

3.  Biomass for energy in the European Union - a review of bioenergy resource assessments.

Authors:  Niclas Scott Bentsen; Claus Felby
Journal:  Biotechnol Biofuels       Date:  2012-04-30       Impact factor: 6.040

4.  Inoculum selection influences the biochemical methane potential of agro-industrial substrates.

Authors:  Jo De Vrieze; Linde Raport; Bernard Willems; Silke Verbrugge; Eveline Volcke; Erik Meers; Largus T Angenent; Nico Boon
Journal:  Microb Biotechnol       Date:  2015-03-10       Impact factor: 5.813

5.  Mechanism, kinetics and microbiology of inhibition caused by long-chain fatty acids in anaerobic digestion of algal biomass.

Authors:  Jingwei Ma; Quan-Bao Zhao; Lieve L M Laurens; Eric E Jarvis; Nick J Nagle; Shulin Chen; Craig S Frear
Journal:  Biotechnol Biofuels       Date:  2015-09-15       Impact factor: 6.040

Review 6.  Waste lipids to energy: how to optimize methane production from long-chain fatty acids (LCFA).

Authors:  M Madalena Alves; M Alcina Pereira; Diana Z Sousa; Ana J Cavaleiro; Merijn Picavet; Hauke Smidt; Alfons J M Stams
Journal:  Microb Biotechnol       Date:  2009-04-16       Impact factor: 5.813

7.  Early warning indicators for mesophilic anaerobic digestion of corn stalk: a combined experimental and simulation approach.

Authors:  Yiran Wu; Adam Kovalovszki; Jiahao Pan; Cong Lin; Hongbin Liu; Na Duan; Irini Angelidaki
Journal:  Biotechnol Biofuels       Date:  2019-05-03       Impact factor: 6.040

Review 8.  Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production.

Authors:  Seyedbehnam Hashemi; Sayed Ebrahim Hashemi; Kristian M Lien; Jacob J Lamb
Journal:  Microorganisms       Date:  2021-05-28

9.  Microbial activity response to hydrogen injection in thermophilic anaerobic digesters revealed by genome-centric metatranscriptomics.

Authors:  Alessandra Fontana; Panagiotis G Kougias; Laura Treu; Adam Kovalovszki; Giorgio Valle; Fabrizio Cappa; Lorenzo Morelli; Irini Angelidaki; Stefano Campanaro
Journal:  Microbiome       Date:  2018-10-27       Impact factor: 14.650

10.  Protein hydrolysis and fermentation under methanogenic and acidifying conditions.

Authors:  Thu Hang Duong; Katja Grolle; Tran Thi Viet Nga; Grietje Zeeman; Hardy Temmink; Miriam van Eekert
Journal:  Biotechnol Biofuels       Date:  2019-10-26       Impact factor: 6.040

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