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The Gauss-Eyring model: A new thermodynamic model for biochemical and microbial inactivation kinetics.
Mastwijk, H C; Timmermans, R A H; Van Boekel, M A J S.
Afiliación
  • Mastwijk HC; Wageningen Food & Biobased Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands. Electronic address: hennie.mastwijk@casema.nl.
  • Timmermans RAH; Wageningen Food & Biobased Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands. Electronic address: rian.timmermans@wur.nl.
  • Van Boekel MAJS; Food Quality & Design Group, Wageningen University & Research, P.O. Box 8129, 6700 EV Wageningen, The Netherlands. Electronic address: tiny.vanboekel@wur.nl.
Food Chem ; 237: 331-341, 2017 Dec 15.
Article en En | MEDLINE | ID: mdl-28764004
ABSTRACT
A new primary model has been developed, using Gaussian distributed populations and Eyrings rate constant for the transition state, to describe inactivation kinetics of enzymes and micro-organisms subjected to heat and chemical treatment. The inactivation of both enzymes and micro-organisms could be associated with the irreversible transition to an inactivated state, as suggested by the Lumry-Eyring model for protein denaturation and enzyme inactivation. The characteristic inactivation model parameters, standard activation enthalpy and entropy, are directly related to the reference temperature and Z-value commonly used for kinetic analysis in food microbiology. An essential feature of the kinetic model is that its parameters, and hence the transition temperature, are treated as stochastic variables. The characteristic line shape of the primary model is the log-normal distribution. The performance of the model was validated, using literature data for enzyme and microbial inactivation over a wide range of temperature and pH.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Termodinámica Tipo de estudio: Prognostic_studies Idioma: En Revista: Food Chem Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Termodinámica Tipo de estudio: Prognostic_studies Idioma: En Revista: Food Chem Año: 2017 Tipo del documento: Article