Literature DB >> 24927399

High-throughput detection of food-borne pathogenic bacteria using oligonucleotide microarray with quantum dots as fluorescent labels.

Aihua Huang1, Zhigang Qiu2, Min Jin2, Zhiqiang Shen2, Zhaoli Chen2, Xinwei Wang2, Jun-Wen Li3.   

Abstract

Bacterial pathogens are mostly responsible for food-borne diseases, and there is still substantial room for improvement in the effective detection of these organisms. In the present study, we explored a new method to detect target pathogens easily and rapidly with high sensitivity and specificity. This method uses an oligonucleotide microarray combined with quantum dots as fluorescent labels. Oligonucleotide probes targeting the 16SrRNA gene were synthesized to create an oligonucleotide microarray. The PCR products labeled with biotin were subsequently hybridized using an oligonucleotide microarray. Following incubation with CdSe/ZnS quantum dots coated with streptavidin, fluorescent signals were detected with a PerkinElmer Gx Microarray Scanner. The results clearly showed specific hybridization profiles corresponding to the bacterial species assessed. Two hundred and sixteen strains of food-borne bacterial pathogens, including standard strains and isolated strains from food samples, were used to test the specificity, stability, and sensitivity of the microarray system. We found that the oligonucleotide microarray combined with quantum dots used as fluorescent labels can successfully discriminate the bacterial organisms at the genera or species level, with high specificity and stability as well as a sensitivity of 10 colony forming units (CFU)/mL of pure culture. We further tested 105 mock-contaminated food samples and achieved consistent results as those obtained from traditional biochemical methods. Together, these results indicate that the quantum dot-based oligonucleotide microarray has the potential to be a powerful tool in the detection and identification of pathogenic bacteria in foods.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bacteria; Detection; Hybridization; Microarray; Probes; Quantum dots

Mesh:

Substances:

Year:  2014        PMID: 24927399     DOI: 10.1016/j.ijfoodmicro.2014.05.012

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  8 in total

1.  Comparative mechanisms of protein transduction mediated by cell-penetrating peptides in prokaryotes.

Authors:  Betty Revon Liu; Yue-Wern Huang; Robert S Aronstam; Han-Jung Lee
Journal:  J Membr Biol       Date:  2015-02-06       Impact factor: 1.843

Review 2.  Fluorescence-based bioassays for the detection and evaluation of food materials.

Authors:  Kentaro Nishi; Shin-Ichiro Isobe; Yun Zhu; Ryoiti Kiyama
Journal:  Sensors (Basel)       Date:  2015-10-13       Impact factor: 3.576

Review 3.  Rapid methods for the detection of foodborne bacterial pathogens: principles, applications, advantages and limitations.

Authors:  Jodi Woan-Fei Law; Nurul-Syakima Ab Mutalib; Kok-Gan Chan; Learn-Han Lee
Journal:  Front Microbiol       Date:  2015-01-12       Impact factor: 5.640

4.  A Simple Mannose-Coated Poly (p-Phenylene Ethynylene) for Qualitative Bacterial Capturing.

Authors:  Madalitso Tsakama; Xiaochi Ma; Yonghuan He; Weihua Chen; Xiaofeng Dai
Journal:  Molecules       Date:  2018-08-16       Impact factor: 4.411

5.  Rapid multiplex detection of 10 foodborne pathogens with an up-converting phosphor technology-based 10-channel lateral flow assay.

Authors:  Yong Zhao; Haoran Wang; Pingping Zhang; Chongyun Sun; Xiaochen Wang; Xinrui Wang; Ruifu Yang; Chengbin Wang; Lei Zhou
Journal:  Sci Rep       Date:  2016-02-17       Impact factor: 4.379

Review 6.  Conjugated Oligo- and Polymers for Bacterial Sensing.

Authors:  Susanne Löffler; Haris Antypas; Ferdinand X Choong; K Peter R Nilsson; Agneta Richter-Dahlfors
Journal:  Front Chem       Date:  2019-04-18       Impact factor: 5.221

7.  Power of Scanning Electron Microscopy and Energy Dispersive X-Ray Analysis in Rapid Microbial Detection and Identification at the Single Cell Level.

Authors:  Muhammad Saiful Islam Khan; Se-Wook Oh; Yun-Ji Kim
Journal:  Sci Rep       Date:  2020-02-11       Impact factor: 4.379

Review 8.  Electrochemical Immuno- and Aptamer-Based Assays for Bacteria: Pros and Cons over Traditional Detection Schemes.

Authors:  Rimsha Binte Jamal; Stepan Shipovskov; Elena E Ferapontova
Journal:  Sensors (Basel)       Date:  2020-09-28       Impact factor: 3.576

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.