Suppr超能文献

通过消化液的液相(LFD)进行生物预处理来促进玉米秸秆的厌氧生物气化。

Promoting anaerobic biogasification of corn stover through biological pretreatment by liquid fraction of digestate (LFD).

机构信息

Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China.

Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China.

出版信息

Bioresour Technol. 2015 Jan;175:167-73. doi: 10.1016/j.biortech.2014.10.088. Epub 2014 Oct 23.

Abstract

A new biological pretreatment method by using liquid fraction of digestate (LFD) was advanced for promoting anaerobic biogasification efficiency of corn stover. 17.6% TS content and ambient temperature was appropriate for pretreatment. The results showed that C/N ratio decreased to about 30, while total lignin, cellulose, and hemicellulose (LCH) contents were reduced by 8.1-19.4% after pretreatment. 3-days pretreatment was considered to be optimal, resulting in 70.4% more biogas production, 66.3% more biomethane yield and 41.7% shorter technical digestion time compared with the untreated stover. The reductions on VS, cellulose, and hemicellulose were increased by 22.1-35.9%, 22.3-35.4%, and 19.8-27.2% for LFD-treated stovers. The promoted anaerobic biogasification efficiency was mainly attributed to the improved biodegradability due to the pre-decomposition role of the bacteria in LFD. The method proved to be an efficient and low cost approach for producing bioenergy from corn stover, meanwhile, reducing LFD discharge and minimizing its potential pollution.

摘要

采用消化液(LFD)液体部分的新型生物预处理方法,以提高玉米秸秆的厌氧生物气化效率。17.6%TS 含量和环境温度适合预处理。结果表明,预处理后 C/N 比降低到约 30,而总木质素、纤维素和半纤维素(LCH)含量分别降低了 8.1-19.4%。3 天的预处理被认为是最佳的,与未处理的秸秆相比,沼气产量增加了 70.4%,生物甲烷产量增加了 66.3%,技术消化时间缩短了 41.7%。VS、纤维素和半纤维素的减少量分别增加了 22.1-35.9%、22.3-35.4%和 19.8-27.2%,用于 LFD 处理的秸秆。促进厌氧生物气化效率主要归因于 LFD 中细菌的预分解作用提高了生物降解性。该方法被证明是一种从玉米秸秆生产生物能源的有效且低成本的方法,同时减少了 LFD 的排放,并最大限度地减少了其潜在的污染。

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