Application of E-nose technology combined with artificial neural network to predict total bacterial count in milk.

Yang, Yongheng; Wei, Lijuan

Yang, Yongheng; Wei, Lijuan.

Afiliación

Yang Y; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China, 310023; School of Ocean Science and Technology, Dalian University of Technology, Liaoning, China, 124221. Electronic address: y-yongheng@zust.edu.cn.
Wei L; Instrumental Analysis and Research Center, Dalian University of Technology, Liaoning, China, 124221.

J Dairy Sci ; 104(10): 10558-10565, 2021 Oct.

Article en En | MEDLINE | ID: mdl-34304876

Asunto(s)

Industria Lechera; Leche; Animales; Carga Bacteriana/veterinaria; Recuento de Células/veterinaria; Recuento de Colonia Microbiana/veterinaria; Nariz Electrónica; Redes Neurales de la Computación; Tecnología

Palabras clave

dairy spoilage; food safety; microbial quality; rapid detection

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Industria Lechera / Leche Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Animals Idioma: En Revista: J Dairy Sci Año: 2021 Tipo del documento: Article

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