Predictive growth kinetic parameters and modelled probabilities of deoxynivalenol production by Fusarium graminearum on wheat during simulated storing conditions.

Pei, Penggang; Xiong, Ke; Wang, Xiaoyi; Sun, Baoguo; Zhao, Zhiyao; Zhang, Xin; Yu, Jiabin

Pei, Penggang; Xiong, Ke; Wang, Xiaoyi; Sun, Baoguo; Zhao, Zhiyao; Zhang, Xin; Yu, Jiabin.

Afiliación

Pei P; Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University (BTBU), Beijing, China.
Xiong K; Beijing Innovation Centre of Food Nutrition and Human, Beijing Technology & Business University (BTBU), Beijing, China.
Wang X; Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University (BTBU), Beijing, China.
Sun B; Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, China.
Zhao Z; Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University (BTBU), Beijing, China.
Zhang X; College of Artificial Intelligence, Beijing Technology & Business University (BTBU), Beijing, China.
Yu J; Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University (BTBU), Beijing, China.

J Appl Microbiol ; 133(2): 349-361, 2022 Aug.

Article en En | MEDLINE | ID: mdl-35365897

Asunto(s)

Fusarium; Triticum; Enfermedades de las Plantas/microbiología; Probabilidad; Tricotecenos; Triticum/microbiología

Palabras clave

Fusarium graminearum; deoxynivalenol; food safety; predictive modelling; wheat storage

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Triticum / Fusarium Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Appl Microbiol Asunto de la revista: MICROBIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

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