Suppr超能文献

比表面积和电子供体能力决定了生物炭在厌氧消化过程中产生甲烷的作用。

Specific surface area and electron donating capacity determine biochar's role in methane production during anaerobic digestion.

机构信息

Institute of Environmental Science and Technology, Zhejiang University, Hangzhou, China; Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, China.

Institute of Environmental Science and Technology, Zhejiang University, Hangzhou, China; Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Technology, Zhejiang, China.

出版信息

Bioresour Technol. 2020 May;303:122919. doi: 10.1016/j.biortech.2020.122919. Epub 2020 Jan 28.

Abstract

The addition of biochar derived from different materials can have varying effects on anaerobic digestion (AD), depending on its physicochemical properties. Physicochemical properties of biochars, biomethanization performance and microbial communities were examined to evaluate the effectiveness of biochars made from different plant wastes on AD in this study. Results showed that all biochars significantly reduce the lag phases during AD, compared with a control treatment (CK). Woody biochars particularly performed much better than herbal ones. Correlation analysis revealed that specific surface area (SSA) and electron donating capacity (EDC) were the key properties of the plant-feedstock-derived biochar in AD enhancement. Microbial community structure analysis showed that higher SSA and EDC are conducive for the growth of bacteria decomposing glucose, further promoting daily methane production in the early AD stage. The results indicate that it is important to select biochar with higher SSA and EDC to enhance biomethanization in AD systems.

摘要

本研究旨在评估不同植物废料制成的生物炭对厌氧消化(AD)的有效性,考察了生物炭的物理化学特性、生物甲烷化性能和微生物群落,以评估其对 AD 的影响。结果表明,与对照处理(CK)相比,所有生物炭均显著缩短了 AD 的迟滞期。木质生物炭的性能明显优于草本生物炭。相关性分析表明,比表面积(SSA)和电子供体容量(EDC)是提高 AD 中植物原料衍生生物炭性能的关键特性。微生物群落结构分析表明,较高的 SSA 和 EDC 有利于分解葡萄糖的细菌生长,从而进一步促进 AD 早期的每日甲烷产量。结果表明,选择具有更高 SSA 和 EDC 的生物炭对增强 AD 系统中的生物甲烷化非常重要。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验