Literature DB >> 23856498

Growth and inactivation of Salmonella at low refrigerated storage temperatures and thermal inactivation on raw chicken meat and laboratory media: mixed effect meta-analysis.

Hanan Smadi1, Jan M Sargeant, Harry S Shannon, Parminder Raina.   

Abstract

Growth and inactivation regression equations were developed to describe the effects of temperature on Salmonella concentration on chicken meat for refrigerated temperatures (⩽10°C) and for thermal treatment temperatures (55-70°C). The main objectives were: (i) to compare Salmonella growth/inactivation in chicken meat versus laboratory media; (ii) to create regression equations to estimate Salmonella growth in chicken meat that can be used in quantitative risk assessment (QRA) modeling; and (iii) to create regression equations to estimate D-values needed to inactivate Salmonella in chicken meat. A systematic approach was used to identify the articles, critically appraise them, and pool outcomes across studies. Growth represented in density (Log10CFU/g) and D-values (min) as a function of temperature were modeled using hierarchical mixed effects regression models. The current meta-analysis analysis found a significant difference (P⩽0.05) between the two matrices - chicken meat and laboratory media - for both growth at refrigerated temperatures and inactivation by thermal treatment. Growth and inactivation were significantly influenced by temperature after controlling for other variables; however, no consistent pattern in growth was found. Validation of growth and inactivation equations against data not used in their development is needed.
Copyright © 2012 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Broiler chicken; Meta-analysis; Mixed effect; Refrigeration; Salmonella; Thermal inactivation

Mesh:

Year:  2012        PMID: 23856498     DOI: 10.1016/j.jegh.2012.12.001

Source DB:  PubMed          Journal:  J Epidemiol Glob Health        ISSN: 2210-6006


  4 in total

1.  Occurrence, quantification, pulse types, and antimicrobial susceptibility of Salmonella sp. isolated from chicken meat in the state of Paraná, Brazil.

Authors:  Ana Paula Perin; Bruna Torres Furtado Martins; Marco Antônio Bacellar Barreiros; Ricardo Seiti Yamatogi; Luís Augusto Nero; Luciano Dos Santos Bersot
Journal:  Braz J Microbiol       Date:  2019-11-28       Impact factor: 2.476

2.  Bacteriophage control of Salmonella Typhimurium in milk.

Authors:  Wallapat Phongtang; Geun-Pyo Choi; Ekachai Chukeatirote; Juhee Ahn
Journal:  Food Sci Biotechnol       Date:  2018-08-22       Impact factor: 2.391

3.  The effect of meteorological variables on salmonellosis incidence in Kermanshah, West of Iran: a generalized linear model with negative binomial approach.

Authors:  Sairan Nili; Narges Khanjani; Bahram Bakhtiari; Yunes Jahani; Hamideh Dalaei
Journal:  J Environ Health Sci Eng       Date:  2021-05-27

4.  Rapid Microbial Quality Assessment of Chicken Liver Inoculated or Not With Salmonella Using FTIR Spectroscopy and Machine Learning.

Authors:  Dimitra Dourou; Athena Grounta; Anthoula A Argyri; George Froutis; Panagiotis Tsakanikas; George-John E Nychas; Agapi I Doulgeraki; Nikos G Chorianopoulos; Chrysoula C Tassou
Journal:  Front Microbiol       Date:  2021-02-04       Impact factor: 5.640

  4 in total

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