2022
DOI: 10.1016/j.cofs.2022.100928
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Application of mathematical models to validate emerging processing technologies in food

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Cited by 10 publications
(6 citation statements)
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“…The use of radio frequency as an inactivation technology against Salmonella in treated eggs was successfully modelled by Bermúdez-Aguirre and Niemira [81]. Other models for Salmonella using pulsed ohmic heating, UV-radiation, ultrasound, and microwave technologies were reviewed by Alvarenga et al [82]. It is clear that predictive models can aid in decision making to establish standards for processing by using emerging technologies.…”
Section: Predictive Microbiology Models For Estimation Of the Microbi...mentioning
confidence: 99%
“…The use of radio frequency as an inactivation technology against Salmonella in treated eggs was successfully modelled by Bermúdez-Aguirre and Niemira [81]. Other models for Salmonella using pulsed ohmic heating, UV-radiation, ultrasound, and microwave technologies were reviewed by Alvarenga et al [82]. It is clear that predictive models can aid in decision making to establish standards for processing by using emerging technologies.…”
Section: Predictive Microbiology Models For Estimation Of the Microbi...mentioning
confidence: 99%
“…The information regarding the processing conditions, food composition, characteristics of the microorganism, and other processing variables are considered during the generation of the mathematical approaches that can predict the behavior of an organism. These models can help during the decision-making process regarding the safety of a product (Alvarenga et al, 2022). Some recent work has been focused on validating these emerging technologies, and detailed studies are available for further reference (Koutchma, 2022a(Koutchma, , 2022bKoutchma & Keener, 2022).…”
Section: Commercialization Of Novel Technologiesmentioning
confidence: 99%
“…An essential step toward the commercialization of novel technologies is the validation of the processes. Mathematical models used to fit inactivation curves of microorganisms under emerging technologies are widely published (Allende et al., 2022; Alvarenga et al., 2022; Atilgan et al., 2020; Bermudez‐Aguirre & Corradini, 2012). These models are a key instrument in the validation of the technologies.…”
Section: Commercialization Of Novel Technologiesmentioning
confidence: 99%
“…A QMRA needs mathematical models that provide quantitative estimates of the microbial response within the food chain (Allende et al., 2022 ). In this sense, the field of predictive microbiology is a well‐established methodology that defines the experimental and numerical protocols to define such models (Perez‐Rodriguez & Valero, 2013 ), that has served to define growth and inactivation models for most food pathogens (Guillén et al., 2021a , b ; Alvarenga et al., 2022 ; Georgalis et al., 2022 ). One of the main limitations of this approach is the complexity in the implementation of these mathematical models.…”
Section: Introductionmentioning
confidence: 99%