Literature DB >> 17311403

Analysis of bioavailable arsenic in rice with whole cell living bioreporter bacteria.

Barbara Baumann1, Jan Roelof van der Meer.   

Abstract

A multiwell plate bioassay was developed using genetically modified bacteria (bioreporter cells) to detect inorganic arsenic extracted from rice. The bacterial cells expressed luciferase upon exposure to arsenite, the activity of which was detected by measurement of cellular bioluminescence. The bioreporter cells detected arsenic in all rice varieties tested, with averages of 0.02-0.15 microg of arsenite equivalent per gram of dry weight and a method detection limit of 6 ng of arsenite per gram of dry rice. This amounted to between approximately 20 and 90% of the total As content reported by chemical methods for the same sample and suggested that a major proportion of arsenic in rice is in the inorganic form. Calibrations of the bioassay with pure inorganic and organic arsenic forms showed that the bacterial cells react to arsenite with highest affinity, followed by arsenate (with 25% response relative to an equivalent arsenite concentration) and trimethylarsine oxide (at 10% relative response). A method for biocompatible arsenic extraction was elaborated, which most optimally consisted of (i) grinding rice to powder, (ii) mixing with an aqueous solution containing pancreatic enzymes, (iii) mechanical shearing, (iv) extraction in mild acid conditions and moderate heat, and (v) centrifugation and pH neutralization. Detection of mainly inorganic arsenic by the bacterial cells may have important advantages for toxicity assessment of rice consumption and would form a good complement to total chemical arsenic determination.

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Year:  2007        PMID: 17311403     DOI: 10.1021/jf0631676

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  8 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

2.  Time-Dependent Biosensor Fluorescence as a Measure of Bacterial Arsenic Uptake Kinetics and Its Inhibition by Dissolved Organic Matter.

Authors:  Hyun Yoon; Andrea Giometto; Martin P Pothier; Xuhui Zhang; Alexandre J Poulain; Matthew C Reid
Journal:  Appl Environ Microbiol       Date:  2022-08-01       Impact factor: 5.005

Review 3.  Bacterial Biosensors for Measuring Availability of Environmental Pollutants.

Authors:  Robin Tecon; Jan Roelof Van der Meer
Journal:  Sensors (Basel)       Date:  2008-07-10       Impact factor: 3.576

4.  Internal arsenite bioassay calibration using multiple bioreporter cell lines.

Authors:  Anke Wackwitz; Hauke Harms; Antonis Chatzinotas; Uta Breuer; Christelle Vogne; Jan Roelof Van Der Meer
Journal:  Microb Biotechnol       Date:  2008-03       Impact factor: 5.813

5.  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

Review 6.  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

7.  Genetic sensor for strong methylating compounds.

Authors:  Felix Moser; Andrew Horwitz; Jacinto Chen; Wendell Lim; Christopher A Voigt
Journal:  ACS Synth Biol       Date:  2013-10-18       Impact factor: 5.110

8.  Tunable reporter signal production in feedback-uncoupled arsenic bioreporters.

Authors:  Davide Merulla; Vassily Hatzimanikatis; Jan Roelof van der Meer
Journal:  Microb Biotechnol       Date:  2013-01-15       Impact factor: 5.813

  8 in total

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