Suppr超能文献

用于天然水体中砷检测的基于细菌的生物测定法的开发。

Development of bacteria-based bioassays for arsenic detection in natural waters.

作者信息

Diesel Elizabeth, Schreiber Madeline, van der Meer Jan Roelof

机构信息

Department of Geosciences, Virginia Tech, Blacksburg, VA 24061-0420, USA.

出版信息

Anal Bioanal Chem. 2009 Jun;394(3):687-93. doi: 10.1007/s00216-009-2785-x. Epub 2009 Apr 18.

Abstract

Arsenic contamination of natural waters is a worldwide concern, as the drinking water supplies for large populations can have high concentrations of arsenic. Traditional techniques to detect arsenic in natural water samples can be costly and time-consuming; therefore, robust and inexpensive methods to detect arsenic in water are highly desirable. Additionally, methods for detecting arsenic in the field have been greatly sought after. This article focuses on the use of bacteria-based assays as an emerging method that is both robust and inexpensive for the detection of arsenic in groundwater both in the field and in the laboratory. The arsenic detection elements in bacteria-based bioassays are biosensor-reporter strains; genetically modified strains of, e.g., Escherichia coli, Bacillus subtilis, Staphylococcus aureus, and Rhodopseudomonas palustris. In response to the presence of arsenic, such bacteria produce a reporter protein, the amount or activity of which is measured in the bioassay. Some of these bacterial biosensor-reporters have been successfully utilized for comparative in-field analyses through the use of simple solution-based assays, but future methods may concentrate on miniaturization using fiberoptics or microfluidics platforms. Additionally, there are other potential emerging bioassays for the detection of arsenic in natural waters including nematodes and clams.

摘要

天然水体中的砷污染是一个全球性问题,因为大量人口的饮用水供应中可能含有高浓度的砷。检测天然水样中砷的传统技术可能成本高昂且耗时;因此,非常需要可靠且廉价的水中砷检测方法。此外,现场检测砷的方法也备受追捧。本文重点介绍基于细菌的检测方法,这是一种新兴方法,对于现场和实验室中地下水中砷的检测既可靠又廉价。基于细菌的生物检测中的砷检测元件是生物传感器报告菌株;例如,经过基因改造的大肠杆菌、枯草芽孢杆菌、金黄色葡萄球菌和沼泽红假单胞菌菌株。响应砷的存在,此类细菌会产生一种报告蛋白,在生物检测中测量其数量或活性。其中一些细菌生物传感器报告菌株已通过使用基于简单溶液的检测方法成功用于现场比较分析,但未来的方法可能会集中于使用光纤或微流控平台进行小型化。此外,还有其他潜在的新兴生物检测方法可用于检测天然水体中的砷,包括线虫和蛤类。

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