Poultry Food Assess Risk Model for Salmonella and Chicken Gizzards: I. Initial Contamination.


Journal

Journal of food protection
ISSN: 1944-9097
Titre abrégé: J Food Prot
Pays: United States
ID NLM: 7703944

Informations de publication

Date de publication:
02 2023
Historique:
received: 22 07 2022
revised: 02 12 2022
accepted: 27 12 2022
entrez: 14 3 2023
pubmed: 15 3 2023
medline: 16 3 2023
Statut: ppublish

Résumé

The Poultry Food Assess Risk Model (PFARM) project was initiated in 1995 to develop data collection and modeling methods for simulating the risk of salmonellosis from poultry food produced by individual production chains. In the present study, the Initial Contamination (IC) step of PFARM for Salmonella and chicken gizzards (CG) was conducted as a case study. Salmonella prevalence (Pr), number (N), and serotype/zoonotic potential (ZP) data (n = 100) for one sample size (56 g) of CG were collected at meal preparation (MP), and then Monte Carlo simulation (MCS) was used to obtain data for other sample sizes (112, 168, 224, 280 g). The PFARM was developed in Excel and was simulated with @Risk. Data were simulated using a moving window of 60 samples to determine how Salmonella Pr, N, and ZP changed over time in the production chain. The ability of Salmonella to survive, grow, and spread in the production chain and food, and then cause disease in humans was ZP, which was based on U. S. Centers for Disease Control and Prevention data for salmonellosis. Of 100 CG samples tested, 35 were contaminated with Salmonella with N from 0 to 0.809 (median) to 2.788 log per 56 g. Salmonella serotype Pr per 56 g was 16% for Kentucky (ZP

Identifiants

pubmed: 36916573
pii: S0362-028X(22)10150-X
doi: 10.1016/j.jfp.2022.100036
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100036

Informations de copyright

Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Thomas P Oscar (TP)

United States Department of Agriculture, Agricultural Research Service, Northeast Area, Eastern Regional Research Center, Chemical Residue and Predictive Microbiology Research Unit, University of Maryland Eastern Shore Worksite, Room 2111, Center for Food Science and Technology, Princess Anne, MD 21853, USA. Electronic address: thomas.oscar@usda.gov.

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Classifications MeSH