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A new algorithm to characterize biodegradability of biomass during anaerobic digestion: Influence of lignin concentration on methane production potential

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WOS被引频次:156
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成果类型:
期刊论文
作者:
Jin M. Triolo;Sven G. Sommer;Henrik B. Møller;Martin R. Weisbjerg;Xin Y. Jiang
通讯作者:
Triolo, J.M.(jmt@kbm.sdu.dk)
作者机构:
[Moller, Henrik B.] Aarhus Univ, Fac Agr Sci, Dept Biosyst Engn, Res Ctr Foulum, DK-8830 Tjele, Denmark.
[Jin M. Triolo; Sven G. Sommer] Univ So Denmark, Fac Engn, Inst Chem Engn Biotechnol & Environm Technol, DK-5230 Odense M, Denmark.
[Jin M. Triolo] Univ So Denmark, Fac Engn, Inst Chem Engn Biotechnol & Environm Technol, Niels Bohrs Alle 1, DK-5230 Odense M, Denmark.
[Martin R. Weisbjerg] Aarhus Univ, Fac Agr Sci, Dept Anim Hlth & Biosci, DK-8830 Tjele, Denmark.
[Xin Y. Jiang] Cent S Univ Forestry & Technol, Coll Mat Sci & Technol, Changsha 410004, Hunan, Peoples R China.
通讯机构:
[Triolo, Jin M.] Univ So Denmark, Fac Engn, Inst Chem Engn Biotechnol & Environm Technol, Niels Bohrs Alle 1, DK-5230 Odense M, Denmark.
语种:
英文
关键词:
Animal manure - Biochemical methane potential - Biogas production - Biomass samples - Combined model - Data sets - Digestibility - Energy crops - Lignin concentration - Lignocellulose - Methane production - Organic materials - Predicting methane production potential - Sample correlation coefficients - Statistical models - Volatile solid
期刊:
BIORESOURCE TECHNOLOGY
ISSN:
0960-8524
年:
2011
卷:
102
期:
20
页码:
9395-9402
文献类别:
WOS:Article;EI:Journal article (JA)
所属学科:
ESI学科类别:生物学与生物化学;WOS学科类别:Agricultural Engineering;Biotechnology & Applied Microbiology;Energy & Fuels
入藏号:
WOS:000295661500009;EI:20113814339514
基金类别:
Energi Fyns Udviklingsfond
机构署名:
本校为其他机构
院系归属:
材料科学与工程学院
摘要:
We examined the influence of fibrous fractions of biomass on biochemical methane potential (BMP) with the objective of developing an economical and easy-to-use statistical model to predict BMP, and hence the biodegradability of organic material (BD) for biogas production. The model was developed either for energy crops (grass, maize, and straw) or for animal manures, or as a combined model for these two biomass groups. It was found that lignin concentration in volatile solids (VS) was the strongest predictor of BMP for all the biomass samples. The square of the sample correlation coefficient (R(2)) from the BMP versus lignin was 0.908 (p < 0.0001), 0.763 (p < 0.001) and 0.883 (p < 0.001) for animal manure, energy crops and the combined model, respectively. Validation of the combined model was carried out using 65 datasets from the literature. (C) 2011 Elsevier Ltd. All rights reserved.
参考文献:
Amon T., 2007, BIORESOURCE TECHNOL, V100, P5777
Angelidaki I, 2009, WATER SCI TECHNOL, V59, P927, DOI 10.2166/wst.2009.040
APHA-American Public Health Association, 2005, STAND METH EX WAT WA
Bruni E, 2010, BIORESOURCE TECHNOL, V101, P7668, DOI 10.1016/j.biortech.2010.04.064
Bruun S, 2005, SOIL BIOL BIOCHEM, V37, P2283, DOI 10.1016/j.soilbio.2005.04.006

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