Suppr超能文献

用于土壤污染物检测的全细胞微生物生物传感器

Whole-Cell Microbial Bioreporter for Soil Contaminants Detection.

作者信息

Zeng Ni, Wu Yichao, Chen Wenli, Huang Qiaoyun, Cai Peng

机构信息

State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.

College of Resources and Environment, Huazhong Agricultural University, Wuhan, China.

出版信息

Front Bioeng Biotechnol. 2021 Feb 23;9:622994. doi: 10.3389/fbioe.2021.622994. eCollection 2021.

Abstract

Anthropogenic activities have released various contaminants into soil that pose a serious threat to the ecosystem and human well-being. Compared to conventional analytical methodologies, microbial cell-based bioreporters are offering a flexible, rapid, and cost-effective strategy to assess the environmental risks. This review aims to summarize the recent progress in the application of bioreporters in soil contamination detection and provide insight into the challenges and current strategies. The biosensing principles and genetic circuit engineering are introduced. Developments of bioreporters to detect and quantify heavy metal and organic contaminants in soil are reviewed. Moreover, future opportunities of whole-cell bioreporters for soil contamination monitoring are discussed.

摘要

人为活动已将各种污染物释放到土壤中,对生态系统和人类福祉构成严重威胁。与传统分析方法相比,基于微生物细胞的生物报告器为评估环境风险提供了一种灵活、快速且经济高效的策略。本综述旨在总结生物报告器在土壤污染检测应用中的最新进展,并深入探讨面临的挑战和当前策略。文中介绍了生物传感原理和基因电路工程。综述了用于检测和量化土壤中重金属和有机污染物的生物报告器的发展情况。此外,还讨论了全细胞生物报告器在土壤污染监测方面的未来机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/052a/7940511/f286ee94723e/fbioe-09-622994-g001.jpg

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