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open-access-imgOpen AccessModeling of UV-C survival of foodborne pathogens and predicting microbial inactivation on fresh-cut ‘Tommy Atkins’ mango using CFD
Author(s)
Garzón-García Alba M.,
Ramos-Enríquez José R.,
Ruiz-Cruz Saúl,
Dussán-Sarria Saúl,
Hleap-Zapata José I.,
Márquez-Ríos Enrique,
Del-Toro-Sánchez Carmen L.,
Lobatón-García Hugo F.
Publication year2024
Publication title
international journal of food engineering
Resource typeJournals
PublisherDe Gruyter
Shortwave ultraviolet light (UV-C) disinfection is an emerging technology used to enhance food safety by reducing the pathogen load. Computational fluid dynamics (CFD) served as a numerical simulation tool to calculate the average radiation intensity within a disinfection chamber. The resulting CFD data was employed to estimate the UV-C inactivation kinetic parameters for Escherichia coli O157:H7, Salmonella Typhimurium, and Listeria monocytogenes . Experimental procedures involved irradiating bacterial suspensions with UV-C doses ranging from 0 to 6.028 kJ/m 2 . The inactivation of S. Typhimurium was described using a log-linear equation, while UV-C survival curves for E. coli O157:H7 and L. monocytogenes were best fitted to Weibull model. Subsequently, the integration of CFD simulations and kinetic parameters enabled the estimation of UV-C doses approaching 6 kJ/m 2 for the treatment of fresh-cut ‘Tommy Atkins’ mangoes inoculated with the mentioned microorganisms. This integrated approach partially predicted the inactivation of pathogens on the surface of mango spears.
Keyword(s)foodborne pathogens, computational fluid dynamics, kinetic modeling, predictive microbiology, fresh-cut
Language(s)English
SCImago Journal Rank0.362
H-Index26
eISSN1556-3758
DOI10.1515/ijfe-2023-0075

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