Literature DB >> 22320200

Development of a paper-based analytical device for colorimetric detection of select foodborne pathogens.

Jana C Jokerst1, Jaclyn A Adkins, Bledar Bisha, Mallory M Mentele, Lawrence D Goodridge, Charles S Henry.   

Abstract

Foodborne pathogens are a major public health threat and financial burden for the food industry, individuals, and society, with an estimated 76 million cases of food-related illness occurring in the United States alone each year. Three of the most important causative bacterial agents of foodborne diseases are pathogenic strains of Escherichia coli , Salmonella spp., and Listeria monocytogenes , due to the severity and frequency of illness and disproportionally high number of fatalities. Their continued persistence in food has dictated the ongoing need for faster, simpler, and less expensive analytical systems capable of live pathogen detection in complex samples. Culture techniques for detection and identification of foodborne pathogens require 5-7 days to complete. Major improvements to molecular detection techniques have been introduced recently, including polymerase chain reaction (PCR). These methods can be tedious; require complex, expensive instrumentation; necessitate highly trained personnel; and are not easily amenable to routine screening. Here, a paper-based analytical device (μPAD) has been developed for the detection of E. coli O157:H7, Salmonella Typhimurium, and L. monocytogenes in food samples as a screening system. In this work, a paper-based microspot assay was created by use of wax printing on filter paper. Detection is achieved by measuring the color change when an enzyme associated with the pathogen of interest reacts with a chromogenic substrate. When combined with enrichment procedures, the method allows for an enrichment time of 12 h or less and is capable of detecting bacteria in concentrations in inoculated ready-to-eat (RTE) meat as low as 10(1) colony-forming units/cm(2).

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Year:  2012        PMID: 22320200     DOI: 10.1021/ac203466y

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  63 in total

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2.  Histogram analysis for smartphone-based rapid hematocrit determination.

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Review 4.  Biomarker detection for disease diagnosis using cost-effective microfluidic platforms.

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Journal:  Analyst       Date:  2015-11-07       Impact factor: 4.616

5.  Colorimetric paper-based detection of Escherichia coli, Salmonella spp., and Listeria monocytogenes from large volumes of agricultural water.

Authors:  Bledar Bisha; Jaclyn A Adkins; Jana C Jokerst; Jeffrey C Chandler; Alma Pérez-Méndez; Shannon M Coleman; Adrian O Sbodio; Trevor V Suslow; Michelle D Danyluk; Charles S Henry; Lawrence D Goodridge
Journal:  J Vis Exp       Date:  2014-06-09       Impact factor: 1.355

6.  A simple paper-based sensor fabricated by selective wet etching of silanized filter paper using a paper mask.

Authors:  Longfei Cai; Chunxiu Xu; ShuoHong Lin; Jiating Luo; Meidie Wu; Fan Yang
Journal:  Biomicrofluidics       Date:  2014-10-13       Impact factor: 2.800

7.  Visual and quantitative detection of E. coli O157:H7 by coupling immunomagnetic separation and quantum dot-based paper strip.

Authors:  Zhaohui Qiao; Qiqi Cai; Yingchun Fu; Chunyang Lei; Wenge Yang
Journal:  Anal Bioanal Chem       Date:  2021-05-19       Impact factor: 4.142

8.  Rational selection of substrates to improve color intensity and uniformity on microfluidic paper-based analytical devices.

Authors:  Elizabeth Evans; Ellen Flávia Moreira Gabriel; Wendell Karlos Tomazelli Coltro; Carlos D Garcia
Journal:  Analyst       Date:  2014-05-07       Impact factor: 4.616

9.  Microfluidic paper-based analytical device for aerosol oxidative activity.

Authors:  Yupaporn Sameenoi; Pantila Panymeesamer; Natcha Supalakorn; Kirsten Koehler; Orawon Chailapakul; Charles S Henry; John Volckens
Journal:  Environ Sci Technol       Date:  2012-12-21       Impact factor: 9.028

10.  Single-shot characterization of enzymatic reaction constants Km and kcat by an acoustic-driven, bubble-based fast micromixer.

Authors:  Yuliang Xie; Daniel Ahmed; Michael Ian Lapsley; Sz-Chin Steven Lin; Ahmad Ahsan Nawaz; Lin Wang; Tony Jun Huang
Journal:  Anal Chem       Date:  2012-08-14       Impact factor: 6.986

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