Literature DB >> 21614381

Development of a microfluidics biosensor for agarose-bead immobilized Escherichia coli bioreporter cells for arsenite detection in aqueous samples.

Nina Buffi1, Davide Merulla, Julien Beutier, Fanny Barbaud, Siham Beggah, Harald van Lintel, Philippe Renaud, Jan Roelof van der Meer.   

Abstract

Contamination with arsenic is a recurring problem in both industrialized and developing countries. Drinking water supplies for large populations can have concentrations much higher than the permissible levels (for most European countries and the United States, 10 μg As per L; elsewhere, 50 μg As per L). Arsenic analysis requires high-end instruments, which are largely unavailable in developing countries. Bioassays based on genetically engineered bacteria have been proposed as suitable alternatives but such tests would profit from better standardization and direct incorporation into sensing devices. The goal of this work was to develop and test microfluidic devices in which bacterial bioreporters could be embedded, exposed and reporter signals detected, as a further step towards a complete miniaturized bacterial biosensor. The signal element in the biosensor is a nonpathogenic laboratory strain of Escherichia coli, which produces a variant of the green fluorescent protein after contact to arsenite and arsenate. E. coli bioreporter cells were encapsulated in agarose beads and incorporated into a microfluidic device where they were captured in 500 × 500 μm(2) cages and exposed to aqueous samples containing arsenic. Cell-beads frozen at -20 °C in the microfluidic chip retained inducibility for up to a month and arsenic samples with 10 or 50 μg L(-1) could be reproducibly discriminated from the blank. In the 0-50 μg L(-1) range and with an exposure time of 200 minutes, the rate of signal increase was linearly proportional to the arsenic concentration. The time needed to reliably and reproducibly detect a concentration of 50 μg L(-1) was 75-120 minutes, and 120-180 minutes for a concentration of 10 μg L(-1).

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Year:  2011        PMID: 21614381     DOI: 10.1039/c1lc20274j

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  13 in total

1.  Immobilization of fluorescent bacterial bioreporter for arsenic detection.

Authors:  Evrim Elcin; Huseyin Avni Öktem
Journal:  J Environ Health Sci Eng       Date:  2020-01-18

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

3.  Effective Cryopreservation of a Bioluminescent Auxotrophic Escherichia coli-Based Amino Acid Array to Enable Long-Term Ready-to-Use Applications.

Authors:  Hee Tae Ahn; In Seung Jang; Thinh Viet Dang; Yi Hyang Kim; Dong Hoon Lee; Hyeun Seok Choi; Byung Jo Yu; Moon Il Kim
Journal:  Biosensors (Basel)       Date:  2021-07-26

Review 4.  Microfluidics for Environmental Applications.

Authors:  Ting Wang; Cecilia Yu; Xing Xie
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

5.  Archimedes' principle for characterisation of recombinant whole cell biocatalysts.

Authors:  Steven Schmitt; Marcel Walser; Michael Rehmann; Sabine Oesterle; Sven Panke; Martin Held
Journal:  Sci Rep       Date:  2018-02-14       Impact factor: 4.379

6.  Miniaturized Sample Preparation and Rapid Detection of Arsenite in Contaminated Soil Using a Smartphone.

Authors:  Mohd Farhan Siddiqui; Soocheol Kim; Hyoil Jeon; Taeho Kim; Chulmin Joo; Seungkyung Park
Journal:  Sensors (Basel)       Date:  2018-03-04       Impact factor: 3.576

Review 7.  A Comprehensive Review of Microfluidic Water Quality Monitoring Sensors.

Authors:  Swapna A Jaywant; Khalid Mahmood Arif
Journal:  Sensors (Basel)       Date:  2019-11-03       Impact factor: 3.576

8.  Flagellin-based electrochemical sensing layer for arsenic detection in water.

Authors:  Hajnalka Jankovics; Patrik Szekér; Éva Tóth; Balázs Kakasi; Zoltán Lábadi; András Saftics; Benjamin Kalas; Miklós Fried; Péter Petrik; Ferenc Vonderviszt
Journal:  Sci Rep       Date:  2021-02-10       Impact factor: 4.379

9.  Cloud-enabled microscopy and droplet microfluidic platform for specific detection of Escherichia coli in water.

Authors:  Alexander Golberg; Gregory Linshiz; Ilia Kravets; Nina Stawski; Nathan J Hillson; Martin L Yarmush; Robert S Marks; Tania Konry
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

10.  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

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