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Título:
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Predicting mycotoxins in foods: a review
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Autor/a:
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García, Daiana; Ramos Girona, Antonio J.; Sanchís Almenar, Vicente; Marín Sillué, Sònia
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Notas:
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The need to ensure the microbiological quality and safety of food products has stimulated interest in the
use of mathematical models for quantifying and predicting microbial behaviour. For 20 years, predictive
microbiology has been developed for predicting the occurrence of food-borne pathogens, although these
tools are dedicated to bacteria. Recently, the situation has changed and a growing number of studies are
available in the literature dealing with the predictive modelling approach of fungi. To our knowledge the
present one is the first review focussed on predictive mycology and food safety, including mycotoxins;
existing kinetic and probability models applied to mycotoxigenic fungi germination and growth, and
mycotoxin production are reviewed.
The authors are grateful to the Spanish Government (CICYT, Comisio´n Interministerial de Ciencia y Tecnologı´a, project AGL 2007-66416-C05-037ALI) and to Comissionat per a Universitats i Recerca del Departament d’ Innovacio´ , Universitats i Empreses de la Generalitat de Catalunya (AGAUR) and to the European Social Fund for their financial support. |
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Materia(s):
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-Predictive modelling
-Food safety
-Mould
-Mycotoxins |
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Derechos:
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(c) Elsevier Ltd, 2009
info:eu-repo/semantics/restrictedAccess |
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Tipo de documento:
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article
publishedVersion |
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Editor:
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Elsevier
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Compartir:
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