Literature DB >> 19377836

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

Elizabeth Diesel1, Madeline Schreiber, Jan Roelof van der Meer.   

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.

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Year:  2009        PMID: 19377836     DOI: 10.1007/s00216-009-2785-x

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  11 in total

Review 1.  Where microbiology meets microengineering: design and applications of reporter bacteria.

Authors:  Jan Roelof van der Meer; Shimshon Belkin
Journal:  Nat Rev Microbiol       Date:  2010-07       Impact factor: 60.633

Review 2.  Biosensors and their applications - A review.

Authors:  Parikha Mehrotra
Journal:  J Oral Biol Craniofac Res       Date:  2016-01-06

3.  Role of Aspergillus niger acrA in arsenic resistance and its use as the basis for an arsenic biosensor.

Authors:  Se-In Choe; Fabrice N Gravelat; Qusai Al Abdallah; Mark J Lee; Bernard F Gibbs; Donald C Sheppard
Journal:  Appl Environ Microbiol       Date:  2012-03-30       Impact factor: 4.792

4.  Isolation, identification and characterization of arsenic transforming exogenous endophytic Citrobacter sp. RPT from roots of Pteris vittata.

Authors:  T Selvankumar; R Radhika; R Mythili; S Arunprakash; P Srinivasan; M Govarthanan; Hyunook Kim
Journal:  3 Biotech       Date:  2017-07-26       Impact factor: 2.406

5.  Sensitive and Specific Whole-Cell Biosensor for Arsenic Detection.

Authors:  Xiaoqiang Jia; Rongrong Bu; Tingting Zhao; Kang Wu
Journal:  Appl Environ Microbiol       Date:  2019-05-16       Impact factor: 4.792

6.  Genetically modified whole-cell bioreporters for environmental assessment.

Authors:  Tingting Xu; Dan M Close; Gary S Sayler; Steven Ripp
Journal:  Ecol Indic       Date:  2013-05-01       Impact factor: 4.958

Review 7.  Whole-cell fluorescent biosensors for bioavailability and biodegradation of polychlorinated biphenyls.

Authors:  Xuemei Liu; Kieran J Germaine; David Ryan; David N Dowling
Journal:  Sensors (Basel)       Date:  2010-02-21       Impact factor: 3.576

8.  Solid phase biosensors for arsenic or cadmium composed of A trans factor and cis element complex.

Authors:  Mohammad Shohel Rana Siddiki; Yasunari Kawakami; Shunsaku Ueda; Isamu Maeda
Journal:  Sensors (Basel)       Date:  2011-10-25       Impact factor: 3.576

9.  Use of Tunable Whole-Cell Bioreporters to Assess Bioavailable Cadmium and Remediation Performance in Soils.

Authors:  Youngdae Yoon; Sunghoon Kim; Yooeun Chae; Yerin Kang; Youngshim Lee; Seung-Woo Jeong; Youn-Joo An
Journal:  PLoS One       Date:  2016-05-12       Impact factor: 3.240

10.  Computer-Aided Whole-Cell Design: Taking a Holistic Approach by Integrating Synthetic With Systems Biology.

Authors:  Lucia Marucci; Matteo Barberis; Jonathan Karr; Oliver Ray; Paul R Race; Miguel de Souza Andrade; Claire Grierson; Stefan Andreas Hoffmann; Sophie Landon; Elibio Rech; Joshua Rees-Garbutt; Richard Seabrook; William Shaw; Christopher Woods
Journal:  Front Bioeng Biotechnol       Date:  2020-08-07
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