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Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America

A bio-mapping study was conducted with the aim of creating a microbiological baseline on indicator organisms and pathogens in commercial broiler processing facilities located in a country in South America. Whole chicken carcass and wing rinses were collected from five stages of the poultry processin...

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Autores principales: Vargas, David A., Betancourt-Barszcz, Gabriela K., Chávez-Velado, Daniela R., Sánchez, Angelica, Bueno López, Rossy, 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/PMC10572331/
https://www.ncbi.nlm.nih.gov/pubmed/37835253
http://dx.doi.org/10.3390/foods12193600
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author Vargas, David A.
Betancourt-Barszcz, Gabriela K.
Chávez-Velado, Daniela R.
Sánchez, Angelica
Bueno López, Rossy
Sanchez-Plata, Marcos X.
author_facet Vargas, David A.
Betancourt-Barszcz, Gabriela K.
Chávez-Velado, Daniela R.
Sánchez, Angelica
Bueno López, Rossy
Sanchez-Plata, Marcos X.
author_sort Vargas, David A.
collection PubMed
description A bio-mapping study was conducted with the aim of creating a microbiological baseline on indicator organisms and pathogens in commercial broiler processing facilities located in a country in South America. Whole chicken carcass and wing rinses were collected from five stages of the poultry processing line: live receiving (LR), rehanger (R), post-evisceration (PE), post-chilling (PC), and wings (W). Rinses (n = 150) were enumerated using the MicroSnap™ system for total viable counts (TVC) and Enterobacteriaceae (EB), while the BAX(®)-System-SalQuant(®) and BAX(®)-System-CampyQuant™ were used for Salmonella and Campylobacter, respectively. TVC and EB were significantly different between stages at the processing line (p < 0.01). There was a significant reduction from LR to PC for both microbial indicators. TVC and EB counts increased significantly from PC to W. Salmonella counts at PC were significantly different from the other stages at the processing line (p = 0.03). Campylobacter counts were significantly higher than the other stages at PC (p < 0.01). The development of bio-mapping baselines with microbial indicators showed consistent reduction up to the post-chilling stage, followed by an increase at the wings sampling location. The quantification of pathogens demonstrates that prevalence analysis as a sole measurement of food safety is not sufficient to evaluate the performance of processing operations and sanitary dressing procedures in commercial processing facilities.
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spelling pubmed-105723312023-10-14 Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America Vargas, David A. Betancourt-Barszcz, Gabriela K. Chávez-Velado, Daniela R. Sánchez, Angelica Bueno López, Rossy Sanchez-Plata, Marcos X. Foods Article A bio-mapping study was conducted with the aim of creating a microbiological baseline on indicator organisms and pathogens in commercial broiler processing facilities located in a country in South America. Whole chicken carcass and wing rinses were collected from five stages of the poultry processing line: live receiving (LR), rehanger (R), post-evisceration (PE), post-chilling (PC), and wings (W). Rinses (n = 150) were enumerated using the MicroSnap™ system for total viable counts (TVC) and Enterobacteriaceae (EB), while the BAX(®)-System-SalQuant(®) and BAX(®)-System-CampyQuant™ were used for Salmonella and Campylobacter, respectively. TVC and EB were significantly different between stages at the processing line (p < 0.01). There was a significant reduction from LR to PC for both microbial indicators. TVC and EB counts increased significantly from PC to W. Salmonella counts at PC were significantly different from the other stages at the processing line (p = 0.03). Campylobacter counts were significantly higher than the other stages at PC (p < 0.01). The development of bio-mapping baselines with microbial indicators showed consistent reduction up to the post-chilling stage, followed by an increase at the wings sampling location. The quantification of pathogens demonstrates that prevalence analysis as a sole measurement of food safety is not sufficient to evaluate the performance of processing operations and sanitary dressing procedures in commercial processing facilities. MDPI 2023-09-28 /pmc/articles/PMC10572331/ /pubmed/37835253 http://dx.doi.org/10.3390/foods12193600 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.
Chávez-Velado, Daniela R.
Sánchez, Angelica
Bueno López, Rossy
Sanchez-Plata, Marcos X.
Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America
title Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America
title_full Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America
title_fullStr Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America
title_full_unstemmed Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America
title_short Bio-Mapping of Microbial Indicators and Pathogen Quantitative Loads in Commercial Broiler Processing Facilities in South America
title_sort bio-mapping of microbial indicators and pathogen quantitative loads in commercial broiler processing facilities in south america
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572331/
https://www.ncbi.nlm.nih.gov/pubmed/37835253
http://dx.doi.org/10.3390/foods12193600
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