Suppr超能文献

利用微生物指标诊断土壤污染:重金属污染综述。

Diagnosis of soil contamination using microbiological indices: A review on heavy metal pollution.

机构信息

College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China.

College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China.

出版信息

J Environ Manage. 2019 Jul 15;242:121-130. doi: 10.1016/j.jenvman.2019.04.061. Epub 2019 Apr 24.

Abstract

Heavy metal contamination of soil has become a serious global issue because of their persistence in the environment and the non-biodegradable nature leading to their accumulation to toxic levels. In order to achieve early warning and prevent soil quality from deteriorating, it is necessary to select suitable indices to diagnose heavy metal pollution. Microbiological indices for monitoring soil pollution by heavy metals are gaining attention. However, the related researches are scattered, and critical review is imperative. This review is mainly to provide readers with an in-depth understanding of the merits and limitations of microbiological indices for heavy metals contaminated and remediated soils. Microbiological indicators include microbial abundance, community diversity and structure, functional activity. The changes of different microbiological indices and the mechanism of microbial response to heavy metal stress in soils are comprehensively summarized. Furthermore, research gaps and future directions of the microbial ecotoxicological diagnosis of soil contamination by heavy metals are also proposed and discussed.

摘要

土壤重金属污染因其在环境中的持久性和不可生物降解性而导致其积累到有毒水平,已成为一个严重的全球性问题。为了实现早期预警和防止土壤质量恶化,有必要选择合适的指标来诊断重金属污染。监测重金属污染土壤的微生物指标越来越受到关注。然而,相关研究较为分散,批判性评论势在必行。本综述主要为读者提供对重金属污染和修复土壤中微生物指标的优缺点的深入了解。微生物指标包括微生物丰度、群落多样性和结构、功能活性。综合总结了不同微生物指标的变化以及土壤中微生物对重金属胁迫的响应机制。此外,还提出并讨论了重金属污染土壤微生物生态毒理学诊断的研究空白和未来方向。

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