Literature DB >> 14594387

Development of a set of simple bacterial biosensors for quantitative and rapid measurements of arsenite and arsenate in potable water.

Judith Stocker1, Denisa Balluch, Monika Gsell, Hauke Harms, Jessika Feliciano, Sylvia Daunert, Khurseed A Malik, Jan Roelof van der Meer.   

Abstract

Testing for arsenic pollution is commonly performed with chemical test kits of unsatisfying accuracy. Bacterial biosensors are an interesting alternative as they are easily produced, simple, and highly accurate devices. Here, we describe the development of a set of bacterial biosensors based on a nonpathogenic laboratory strain of Escherichia coli, the natural resistance mechanism of E. coli against arsenite and arsenate, and three reporter proteins: bacterial luciferase, beta-galactosidase and Green Fluorescent Protein (GFP). The biosensors were genetically optimized to reduce background expression in the absence of arsenic. In calibration experiments with the biosensors and arsenite-amended potable water, arsenite concentrations at 4 microg of As/L (0.05 microM) were routinely and accurately measured. The currently most quantitative system expressed the bacterial luciferase as reporter protein, responding proportional with a concentration range between 8 and 80 microg of As/L. Sensor cells could be stored as frozen batches, resuspended in plain media, and exposed to the aqueous test sample, and light emission was measured after 30-min incubation. Field testing for arsenite was achieved with a system that contained beta-galactosidase, producing a visible blue color at arsenite concentrations above 8 microg/L. For this sensor, a protocol was developed in which the sensor cells were dried on a paper strip and placed in the aqueous test solution for 30 min after which time color development was allowed to take place. The GFP sensor showed good potential for continuous rather than end point measurements. In all cases, growth of the biosensors and production of the strip test was achieved by very simple means with common growth media, and quality control of the sensors was performed by isolating the respective plasmids with the genetic constructs according to simple standard genetic technologies. Therefore, the biosensor cells and protocols may offer a realistic alternative for measuring arsenic contamination in potable water.

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Year:  2003        PMID: 14594387     DOI: 10.1021/es034258b

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  54 in total

1.  Whole-cell biochips for online water monitoring.

Authors:  Tal Elad; Shimshon Belkin
Journal:  Bioeng Bugs       Date:  2012-03-01

Review 2.  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

3.  A Highly Sensitive Enzymatic Catalysis System for Trace Detection of Arsenic in Water.

Authors:  Yuanli Liu; Chuanbai Yu; Zhixin Cao; Daniel Shvarts; William C Trogler
Journal:  Chemistry       Date:  2017-07-13       Impact factor: 5.236

4.  Construction and characterization of Escherichia coli whole-cell biosensors for toluene and related compounds.

Authors:  F Behzadian; H Barjeste; S Hosseinkhani; A R Zarei
Journal:  Curr Microbiol       Date:  2010-09-26       Impact factor: 2.188

5.  Strategies for enhancing bioluminescent bacterial sensor performance by promoter region manipulation.

Authors:  Sharon Yagur-Kroll; Benny Bilic; Shimshon Belkin
Journal:  Bioeng Bugs       Date:  2010-01-14

6.  Molecular identification of arsenic-resistant estuarine bacteria and characterization of their ars genotype.

Authors:  M Sri Lakshmi Sunita; S Prashant; P V Bramha Chari; S Nageswara Rao; Padma Balaravi; P B Kavi Kishor
Journal:  Ecotoxicology       Date:  2011-08-31       Impact factor: 2.823

7.  Modeling and validation of autoinducer-mediated bacterial gene expression in microfluidic environments.

Authors:  Caitlin M Austin; William Stoy; Peter Su; Marie C Harber; J Patrick Bardill; Brian K Hammer; Craig R Forest
Journal:  Biomicrofluidics       Date:  2014-06-17       Impact factor: 2.800

8.  Synthetic Biology-Empowered Hydrogels for Medical Diagnostics.

Authors:  Hanna J Wagner; Hasti Mohsenin; Wilfried Weber
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

9.  Transcriptional regulatory proteins as biosensing tools.

Authors:  Kendrick Turner; Smita Joel; Jessika Feliciano; Agatha Feltus; Patrizia Pasini; Daniel Wynn; Peter Dau; Emre Dikici; Sapna K Deo; Sylvia Daunert
Journal:  Chem Commun (Camb)       Date:  2017-06-22       Impact factor: 6.222

Review 10.  DNA-based memory devices for recording cellular events.

Authors:  Ravi U Sheth; Harris H Wang
Journal:  Nat Rev Genet       Date:  2018-11       Impact factor: 53.242

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