کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8409355 | 1545094 | 2016 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling postharvest mycotoxins in foods: recent research
ترجمه فارسی عنوان
مدل سازی پس از برداشت میکوکتوکسین ها در مواد غذایی: تحقیقات اخیر
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش تغذیه
چکیده انگلیسی
Available information on the prediction of postharvest production of mycotoxins in recent years is reviewed. Predictive mycology has been focused mainly on fungal growth whereas studies on prediction of mycotoxins in foods are scarce. Modeling mycotoxin production is challenging due to the high variability in mycotoxigenic potential among species and isolates. Besides mycotoxin biosynthesis pathways and factors influencing them are still poorly understood. Baranyi and Luedeking-Piret models have been recently used as primary models for mycotoxin prediction, while for secondary modeling, polynomial approaches have been used. Furthermore, probability models can be a different alternative. In any case, media for data generation, intraspecies variability, and microbial interactions should not be disregarded before model application in food safety management systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Current Opinion in Food Science - Volume 11, October 2016, Pages 46-50
Journal: Current Opinion in Food Science - Volume 11, October 2016, Pages 46-50
نویسندگان
Laila Aldars-GarcÃa, Antonio J Ramos, Vicente Sanchis, Sonia MarÃn,