Suppr超能文献

生物炭固定微生物用于水和土壤修复:综述。

Immobilization of microbes on biochar for water and soil remediation: A review.

机构信息

Hunan International Scientific and Technological Cooperation Base of Agricultural Typical Pollution Remediation and Wetland Protection, College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China.

Hunan International Scientific and Technological Cooperation Base of Agricultural Typical Pollution Remediation and Wetland Protection, College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China.

出版信息

Environ Res. 2022 Sep;212(Pt B):113226. doi: 10.1016/j.envres.2022.113226. Epub 2022 Apr 19.

Abstract

Biochar has caught great attention over the last decade with the loose and porous structure, and carbon stability provides suitable living conditions for the growth and activity of microorganisms. This review provided a comprehensive summary of biochar immobilization microbe (BIM) in water and soil decontamination. Firstly, the bacterial immobilization techniques including adsorption, entrapping, and covalence methods were exhibited. Secondly, the applications of BIM in water and soil environmental remediation were introduced, mainly including the treatment of organic pollutants, heavy metals, and N/P, among which the most frequently immobilized microorganism was Bacillus. Then, the mechanisms of adsorption, redox, and degradation were analyzed. Finally, pertinent questions for future research of BIM technology were proposed. The purpose of this paper is to provide useful background information for the selection of better biochar fixation microorganisms for water and soil remediation.

摘要

生物炭具有疏松多孔的结构,碳稳定性为微生物的生长和活性提供了适宜的生存条件,在过去十年中受到了极大的关注。本综述全面总结了生物炭固定微生物(BIM)在水和土壤污染治理中的应用。首先,展示了包括吸附、包埋和共价键合方法在内的细菌固定技术。其次,介绍了 BIM 在水和土壤环境修复中的应用,主要包括有机污染物、重金属和 N/P 的处理,其中最常固定的微生物是芽孢杆菌。然后,分析了吸附、氧化还原和降解的机制。最后,提出了 BIM 技术未来研究的相关问题。本文旨在为选择更好的水和土壤修复用生物炭固定微生物提供有用的背景信息。

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