Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.14/7483
Título: On the use of the gompertz model to predict microbial thermal inactivation under isothermal and non-isothermal conditions
Autor: Gil, Maria M.
Miller, Fátima A.
Brandão, T.R.S.
Silva, C.L.M.
Palavras-chave: Gompertz model
Inactivation kinetics
Isothermal and non-isothermal conditions
Data: 2011
Editora: Springer
Citação: GIL, Mário M... [et al.] - On the use of the gompertz model to predict microbial thermal inactivation under isothermal and non-isothermal condition. Food Engineering Reviews. ISSN 1866-7929. Vol. 3, N.º 1 (2011), p. 17-25
Resumo: Food processes should be designed to provide an adequate margin of safety against microbiological risk of food poisoning and food spoilage throughout shelf life. In this field, the use of mathematical models that describe the microorganisms’ kinetics in such conditions is an important tool for convenient design, control and optimization of efficient processes. If those models are accurate and precise, one can extract the best aiming at predictive purposes. The Gompertz equation is commonly applied to describe sigmoidal kinetics. Besides the proven adequacy of the model in those kinetics descriptions, most of the reported works do not use Gompertz equation in the most convenient form, and insightful information could be obtained with re-parameterized forms. This work aims at reviewing the use of the Gompertz model to describe inactivation, as well as re-parameterized forms that include parameters related to the survival curve features. Microbial survival often presents a shoulder prior to inactivation, followed by a linear phase (corresponding to a maximum inactivation rate) and a tail residual population. The versatility of the Gompertz model in describing kinetics with different shapes, varying from a log-linear tendency till a complete sigmoidal shape, makes it attractive for predictive purposes, both under static and dynamic temperature conditions. Drawbacks and critical features of the model, when it is applied to microbial responses, will be overview.
Peer review: yes
URI: http://hdl.handle.net/10400.14/7483
Versão do Editor: The original publication is available at http://www.springerlink.com/content/b242334548p327u0/
Aparece nas colecções:CBQF - Artigos em revistas internacionais com Arbitragem / Papers in international journals with Peer-review

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