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Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay

The goal of this study was to develop a rapid RT-PCR enumeration method for Salmonella in pork and beef lymph nodes (LNs) utilizing BAX(®)-System-SalQuant(®) as well as to assess the performance of the methodology in comparison with existing ones. For study one: PCR curve development, pork, and beef...

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Autores principales: Vargas, David A., Betancourt-Barszcz, Gabriela K., Blandon, Sabrina E., Applegate, Savannah F., Brashears, Mindy M., Miller, Markus F., Gragg, Sara E., Sanchez-Plata, Marcos X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956926/
https://www.ncbi.nlm.nih.gov/pubmed/36832897
http://dx.doi.org/10.3390/foods12040822
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author Vargas, David A.
Betancourt-Barszcz, Gabriela K.
Blandon, Sabrina E.
Applegate, Savannah F.
Brashears, Mindy M.
Miller, Markus F.
Gragg, Sara E.
Sanchez-Plata, Marcos X.
author_facet Vargas, David A.
Betancourt-Barszcz, Gabriela K.
Blandon, Sabrina E.
Applegate, Savannah F.
Brashears, Mindy M.
Miller, Markus F.
Gragg, Sara E.
Sanchez-Plata, Marcos X.
author_sort Vargas, David A.
collection PubMed
description The goal of this study was to develop a rapid RT-PCR enumeration method for Salmonella in pork and beef lymph nodes (LNs) utilizing BAX(®)-System-SalQuant(®) as well as to assess the performance of the methodology in comparison with existing ones. For study one: PCR curve development, pork, and beef LNs (n = 64) were trimmed, sterilized, pulverized, spiked with 0.00 to 5.00 Log CFU/LN using Salmonella Typhimurium, and then homogenized with BAX-MP media. Samples were incubated at 42 °C and tested at several time points using the BAX(®)-System-RT-PCR Assay for Salmonella. Cycle-Threshold values from the BAX(®)-System, for each Salmonella concentration were recorded and utilized for statistical analysis. For study two: Method comparison; additional pork and beef LNs (n = 52) were spiked and enumerated by (1) 3M™EB-Petrifilm™ + XLD-replica plate, (2) BAX(®)-System-SalQuant(®), and (3) MPN. Linear-fit equations for LNs were estimated with recovery times of 6 h and a limit of quantification (LOQ) of 10 CFU/LN. Slopes and intercepts for LNs using BAX(®)-System-SalQuant(®) when compared with MPN were not significantly different (p < 0.05), while the same parameters for 3M™EB-Petrifilm™ + XLD-replica plate were significantly different (p > 0.05). The results support the capability of BAX(®)-System-SalQuant(®) to enumerate Salmonella in pork and beef LNs. This development adds support to the use of PCR-based quantification methodologies for pathogen loads in meat products.
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spelling pubmed-99569262023-02-25 Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay Vargas, David A. Betancourt-Barszcz, Gabriela K. Blandon, Sabrina E. Applegate, Savannah F. Brashears, Mindy M. Miller, Markus F. Gragg, Sara E. Sanchez-Plata, Marcos X. Foods Article The goal of this study was to develop a rapid RT-PCR enumeration method for Salmonella in pork and beef lymph nodes (LNs) utilizing BAX(®)-System-SalQuant(®) as well as to assess the performance of the methodology in comparison with existing ones. For study one: PCR curve development, pork, and beef LNs (n = 64) were trimmed, sterilized, pulverized, spiked with 0.00 to 5.00 Log CFU/LN using Salmonella Typhimurium, and then homogenized with BAX-MP media. Samples were incubated at 42 °C and tested at several time points using the BAX(®)-System-RT-PCR Assay for Salmonella. Cycle-Threshold values from the BAX(®)-System, for each Salmonella concentration were recorded and utilized for statistical analysis. For study two: Method comparison; additional pork and beef LNs (n = 52) were spiked and enumerated by (1) 3M™EB-Petrifilm™ + XLD-replica plate, (2) BAX(®)-System-SalQuant(®), and (3) MPN. Linear-fit equations for LNs were estimated with recovery times of 6 h and a limit of quantification (LOQ) of 10 CFU/LN. Slopes and intercepts for LNs using BAX(®)-System-SalQuant(®) when compared with MPN were not significantly different (p < 0.05), while the same parameters for 3M™EB-Petrifilm™ + XLD-replica plate were significantly different (p > 0.05). The results support the capability of BAX(®)-System-SalQuant(®) to enumerate Salmonella in pork and beef LNs. This development adds support to the use of PCR-based quantification methodologies for pathogen loads in meat products. MDPI 2023-02-15 /pmc/articles/PMC9956926/ /pubmed/36832897 http://dx.doi.org/10.3390/foods12040822 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vargas, David A.
Betancourt-Barszcz, Gabriela K.
Blandon, Sabrina E.
Applegate, Savannah F.
Brashears, Mindy M.
Miller, Markus F.
Gragg, Sara E.
Sanchez-Plata, Marcos X.
Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay
title Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay
title_full Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay
title_fullStr Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay
title_full_unstemmed Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay
title_short Rapid Quantitative Method Development for Beef and Pork Lymph Nodes Using BAX(®) System Real Time Salmonella Assay
title_sort rapid quantitative method development for beef and pork lymph nodes using bax(®) system real time salmonella assay
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956926/
https://www.ncbi.nlm.nih.gov/pubmed/36832897
http://dx.doi.org/10.3390/foods12040822
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