Literature DB >> 26780137

Evaluation of bioavailable arsenic and remediation performance using a whole-cell bioreporter.

Youngdae Yoon1, Sunghoon Kim1, Yooeun Chae1, Seung-Woo Jeong2, Youn-Joo An3.   

Abstract

The traditional method of evaluating the effects of soil contaminants on living organisms by measuring the total amount of contaminant has been largely inadequate, in part because testing contamination levels is hindered in real samples. Here we report a novel strategy for testing arsenic (As) bioavailability in soil samples by direct (in vivo) and indirect (in vitro) measurement using an Escherichia coli-based whole-cell bioreporter (WCB). The WCB was used to test As-amended Landwirtschaftliche Untersuchungs und Forschungsanstalt soils as well as field soils collected from a smelter area under remediation in order to evaluate the efficiency of bioavailable As removal. The percentage of bioavailable As in amended and field soils was 5.8% (range: 4.9%-7.6%) and 0.6% (0.08%-1.09%) of total As, respectively. In contaminated soils, total As was decreased, whereas bioavailable As was slightly increased after soil washing. These results emphasize the importance of considering ecotoxicological aspects of soil remediation; to this end, the WCB is a useful tool for evaluating the efficiency of soil remediation by assessing bioavailability along with the total amount of contaminant present.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arsenic; Bioavailability; Remediation; Soil; Whole-cell bioreporter

Mesh:

Substances:

Year:  2016        PMID: 26780137     DOI: 10.1016/j.scitotenv.2015.12.141

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

Review 1.  Molecular insight of arsenic-induced carcinogenesis and its prevention.

Authors:  Paramita Mandal
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2017-02-22       Impact factor: 3.000

2.  Derivation of pb(II)-sensing Escherichia coli cell-based biosensors from arsenic responsive genetic systems.

Authors:  Yejin Lee; Yangwon Jeon; Guepil Jang; Youngdae Yoon
Journal:  AMB Express       Date:  2021-12-15       Impact factor: 3.298

Review 3.  Transcription Factor-Based Biosensors for Detecting Pathogens.

Authors:  Yangwon Jeon; Yejin Lee; Keugtae Kim; Geupil Jang; Youngdae Yoon
Journal:  Biosensors (Basel)       Date:  2022-06-29

4.  Development of a whole-cell biosensor based on an ArsR-P ars regulatory circuit from Geobacter sulfurreducens.

Authors:  Pengsong Li; Yumingzi Wang; Xin Yuan; Xinying Liu; Chunmao Liu; Xiaofen Fu; Dezhi Sun; Yan Dang; Dawn E Holmes
Journal:  Environ Sci Ecotechnol       Date:  2021-04-07
  4 in total

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