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机械预处理木质纤维素以提高沼气产量:从生物质结构成分预测甲烷产量。

Mechanical pretreatment of lignocelluloses for enhanced biogas production: Methane yield prediction from biomass structural components.

机构信息

Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Biomass and Bioenergy Group, Environment and Technology Research Cluster, Landmark University, Nigeria.

出版信息

Bioresour Technol. 2019 May;280:18-26. doi: 10.1016/j.biortech.2019.02.006. Epub 2019 Feb 4.

DOI:10.1016/j.biortech.2019.02.006
PMID:30754002
Abstract

In this study, mechanical pretreatment was applied to six different lignocelluloses in two different treatment phases and the prediction of their methane yield was done from biomass chemical composition. Physicochemical, proximate and microbial analyses were carried out on both pretreated and untreated biomass using standard methods. Mechanical pretreatments caused the breakdown of structural materials in all the used biomass which was characterized by reduction of the lagging time during anaerobic digestion and the subsequent increase in methane yield up to 22%. The different loading rate of biomass had no effect on the overall methane yield increase. Both single and multiple linear regressions models were used in order to correlate the chemical composition of the biomass with their methane potentials and a fairly high correlation (R = 0.63) was obtained. The study also showed that the pretreatments are economically feasible. Therefore, its further application to other biomass is encouraged.

摘要

在这项研究中,机械预处理应用于两种不同处理阶段的六种不同的木质纤维素,并根据生物质的化学成分预测其甲烷产量。使用标准方法对预处理和未预处理的生物质进行了物理化学、近似和微生物分析。机械预处理导致所有使用的生物质中的结构材料分解,其特征在于厌氧消化过程中滞后时间的减少以及随后甲烷产量增加 22%。生物质的不同装载率对整体甲烷产量的增加没有影响。为了将生物质的化学成分与其甲烷潜力相关联,使用了单线性和多重线性回归模型,并且获得了相当高的相关性(R=0.63)。该研究还表明,预处理在经济上是可行的。因此,鼓励将其进一步应用于其他生物质。

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