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An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification
Foodborne illnesses occur in both industrialized and developing countries, and may be increasing due to rapidly evolving food production practices. Yet some primary tools used to assess food safety are decades, if not centuries, old. To improve the time to result for food safety assessment a sensiti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981798/ https://www.ncbi.nlm.nih.gov/pubmed/24718659 http://dx.doi.org/10.1371/journal.pone.0094254 |
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author | Buzatu, Dan A. Moskal, Ted J. Williams, Anna J. Cooper, Willie Mae Mattes, William B. Wilkes, Jon G. |
author_facet | Buzatu, Dan A. Moskal, Ted J. Williams, Anna J. Cooper, Willie Mae Mattes, William B. Wilkes, Jon G. |
author_sort | Buzatu, Dan A. |
collection | PubMed |
description | Foodborne illnesses occur in both industrialized and developing countries, and may be increasing due to rapidly evolving food production practices. Yet some primary tools used to assess food safety are decades, if not centuries, old. To improve the time to result for food safety assessment a sensitive flow cytometer based system to detect microbial contamination was developed. By eliminating background fluorescence and improving signal to noise the assays accurately measure bacterial load or specifically identify pathogens. These assays provide results in minutes or, if sensitivity to one cell in a complex matrix is required, after several hours enrichment. Conventional assessments of food safety require 48 to 56 hours. The assays described within are linear over 5 orders of magnitude with results identical to culture plates, and report live and dead microorganisms. This system offers a powerful approach to real-time assessment of food safety, useful for industry self-monitoring and regulatory inspection. |
format | Online Article Text |
id | pubmed-3981798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39817982014-04-11 An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification Buzatu, Dan A. Moskal, Ted J. Williams, Anna J. Cooper, Willie Mae Mattes, William B. Wilkes, Jon G. PLoS One Research Article Foodborne illnesses occur in both industrialized and developing countries, and may be increasing due to rapidly evolving food production practices. Yet some primary tools used to assess food safety are decades, if not centuries, old. To improve the time to result for food safety assessment a sensitive flow cytometer based system to detect microbial contamination was developed. By eliminating background fluorescence and improving signal to noise the assays accurately measure bacterial load or specifically identify pathogens. These assays provide results in minutes or, if sensitivity to one cell in a complex matrix is required, after several hours enrichment. Conventional assessments of food safety require 48 to 56 hours. The assays described within are linear over 5 orders of magnitude with results identical to culture plates, and report live and dead microorganisms. This system offers a powerful approach to real-time assessment of food safety, useful for industry self-monitoring and regulatory inspection. Public Library of Science 2014-04-09 /pmc/articles/PMC3981798/ /pubmed/24718659 http://dx.doi.org/10.1371/journal.pone.0094254 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Buzatu, Dan A. Moskal, Ted J. Williams, Anna J. Cooper, Willie Mae Mattes, William B. Wilkes, Jon G. An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification |
title | An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification |
title_full | An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification |
title_fullStr | An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification |
title_full_unstemmed | An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification |
title_short | An Integrated Flow Cytometry-Based System for Real-Time, High Sensitivity Bacterial Detection and Identification |
title_sort | integrated flow cytometry-based system for real-time, high sensitivity bacterial detection and identification |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981798/ https://www.ncbi.nlm.nih.gov/pubmed/24718659 http://dx.doi.org/10.1371/journal.pone.0094254 |
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