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Modeling of Listeria innocua, Escherichia coli, and Salmonella Enteritidis inactivation in milk treated by gamma irradiation.

Authors :
Lima FR
de Souza Costa Sobrinho P
de Oliveira Ferreira Rocha L
Mendes de Souza P
Source :
Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] [Braz J Microbiol] 2023 Jun; Vol. 54 (2), pp. 1047-1054. Date of Electronic Publication: 2023 Feb 22.
Publication Year :
2023

Abstract

Measuring microbial inactivation in food is useful for food technology as it allows for predicting the growth or death of microorganisms. This study aimed to investigate the effect of gamma irradiation on the lethality of microorganisms inoculated in milk, estimate the mathematical model of inactivation of each microorganism, and evaluate kinetic indices to determine the efficient dose in the treatment of milk. Raw milk samples were inoculated with cultures of Salmonella enterica subsp. enterica serovar Enteritidis (ATCC 13076), Escherichia coli (ATCC 8739), and Listeria innocua (ATCC 3309), irradiated at doses of 0, 0.5, 1, 1.5, 2, 2.5, and 3 kGy. The fitting of the models to the microbial inactivation data was performed using the GinaFIT software. The results demonstrated a significant effect of irradiation doses on the population of microorganisms, with the application of a dose of 3 kGy, a reduction of approximately 6 logarithmic cycles is observed for L. innocua and 5 for S. Enteritidis and E. coli. The model with the best fit was different for each microorganism studied: for L. innocua, the model was log-linear + shoulder; for S. Enteritidis and E. coli, the model that showed the best fit was the biphasic. The studied model fitted well (R <superscript>2</superscript> ≥ 0.9; R <superscript>2</superscript> adj. ≥ 0.9 and smallest RMSE values) for the inactivation kinetics. The lethality of the treatment, considering a reduction in the 4D value, was achieved with the predicted dose of doses of ±2.22, ±2.10, and ±1.77 kGy, for L. innocua, S. Enteritidis, and E. coli, respectively.<br /> (© 2023. The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia.)

Details

Language :
English
ISSN :
1678-4405
Volume :
54
Issue :
2
Database :
MEDLINE
Journal :
Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
Publication Type :
Academic Journal
Accession number :
36811770
Full Text :
https://doi.org/10.1007/s42770-023-00931-5