Modeling of UV-C survival of foodborne pathogens and predicting microbial inactivation on fresh-cut 'Tommy Atkins' mango using CFD

Alba M. Garzon-García, José R. Ramos-Enríquez, Saúl Ruiz-Cruz*, Saúl Dussán-Sarria, José I. Hleap-Zapata, Enrique Márquez-Ríos, Carmen L. Del-Toro-Sánchez, Hugo F. Lobatón-García

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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/m2. 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/m2 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.

Original languageEnglish
Pages (from-to)269-278
Number of pages10
JournalInternational Journal of Food Engineering
Volume20
Issue number4
DOIs
StatePublished - 1 Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 Walter de Gruyter GmbH, Berlin/Boston.

Keywords

  • computational fluid dynamics
  • foodborne pathogens
  • fresh-cut
  • kinetic modeling
  • predictive microbiology

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