Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Buzatu, Dan A., Moskal, Ted J., Williams, Anna J., Cooper, Willie Mae, Mattes, William B., Wilkes, Jon G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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
_version_ 1782311112180498432
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
work_keys_str_mv AT buzatudana anintegratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT moskaltedj anintegratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT williamsannaj anintegratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT cooperwilliemae anintegratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT matteswilliamb anintegratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT wilkesjong anintegratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT buzatudana integratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT moskaltedj integratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT williamsannaj integratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT cooperwilliemae integratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT matteswilliamb integratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification
AT wilkesjong integratedflowcytometrybasedsystemforrealtimehighsensitivitybacterialdetectionandidentification