Literature DB >> 26777247

A biosensor platform for rapid detection of E. coli in drinking water.

Nikou Hesari1, Absar Alum1, Mohamad Elzein1, Morteza Abbaszadegan2.   

Abstract

There remains a need for rapid, specific and sensitive assays for the detection of bacterial indicators for water quality monitoring. In this study, a strategy for rapid detection of Escherichia coli in drinking water has been developed. This strategy is based on the use of the substrate 4-methylumbelliferyl-β-d-glucuronide (MUG), which is hydrolyzed rapidly by the action of E. coli β-d-glucuronidase (GUD) enzyme to yield a fluorogenic 4-methylumbelliferone (4-MU) product that can be quantified and related to the number of E. coli cells present in water samples. In this study, the detection time required for the biosensor response ranged between 20 and 120 min, depending on the number of bacteria in the sample. This approach does not need extensive sample processing with a rapid detection capability. The specificity of the MUG substrate was examined in both, pure cultures of non-target bacterial genera such as Klebsiella, Salmonella, Enterobacter and Bacillus. Non-target substrates that included 4-methylumbelliferyl-β-d-galactopyranoside (MUGal) and l-leucine β-naphthylamide aminopeptidase (LLβ-N) were also investigated to identify nonspecific patterns of enzymatic activities in E. coli. GUD activity was found to be specific for E. coli and no further enzymatic activity was detected by other species. In addition, fluorescence assays were performed for the detection of E. coli to generate standard curves; and the sensitivity of the GUD enzymatic response was measured and repeatedly determined to be less than 10 E. coli cells in a reaction vial. The applicability of the method was tested by performing multiple fluorescence assays under pure and mixed bacterial flora in environmental samples. The results of this study showed that the fluorescence signals generated in samples using specific substrate molecules can be utilized to develop a bio-sensing platform for the detection of E. coli in drinking water. Furthermore, this system can be applied independently or in conjunction with other methods as a part of an array of biochemical assays in order to reliably detect E. coli in water.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Drinking water; E. coli; Rapid bacterial detection; Water quality monitoring; β-d-Glucuronidase

Mesh:

Substances:

Year:  2015        PMID: 26777247     DOI: 10.1016/j.enzmictec.2015.11.007

Source DB:  PubMed          Journal:  Enzyme Microb Technol        ISSN: 0141-0229            Impact factor:   3.493


  6 in total

1.  Rapid Detection of Escherichia coli in Water Using Sample Concentration and Optimized Enzymatic Hydrolysis of Chromogenic Substrates.

Authors:  Jianyong Wu; Jill R Stewart; Mark D Sobsey; Chris Cormency; Michael B Fisher; Jamie K Bartram
Journal:  Curr Microbiol       Date:  2018-02-21       Impact factor: 2.188

Review 2.  Recent advances of sensing strategies for the detection of β-glucuronidase activity.

Authors:  Tong Li; Guoliang Li; Zhuoqun Su; Jianghua Liu; Panxue Wang
Journal:  Anal Bioanal Chem       Date:  2022-03-01       Impact factor: 4.142

3.  A Strategy to Establish a Quality Assurance/Quality Control Plan for the Application of Biosensors for the Detection of E. coli in Water.

Authors:  Nikou Hesari; Nursel Kıratlı Yılmazçoban; Mohamad Elzein; Absar Alum; Morteza Abbaszadegan
Journal:  Biosensors (Basel)       Date:  2017-01-03

Review 4.  Multi-Drug Resistant Coliform: Water Sanitary Standards and Health Hazards.

Authors:  Meerambika Mishra; Ananta P Arukha; Amiya K Patel; Niranjan Behera; Tapan K Mohanta; Dhananjay Yadav
Journal:  Front Pharmacol       Date:  2018-06-12       Impact factor: 5.810

Review 5.  Modified Enzyme Substrates for the Detection of Bacteria: A Review.

Authors:  Laura Pala; Teja Sirec; Urs Spitz
Journal:  Molecules       Date:  2020-08-13       Impact factor: 4.411

6.  Rapid generation of chemical combinations on a magnetic digital microfluidic array.

Authors:  Yi Zhang; Tza-Huei Wang
Journal:  RSC Adv       Date:  2019-07-12       Impact factor: 4.036

  6 in total

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