Prediction of in-vitro glycemic responses of biscuits in an engineered small intestine system.

Priyadarshini, S R; Moses, J A; Anandharamakrishnan, C

Priyadarshini, S R; Moses, J A; Anandharamakrishnan, C.

Afiliación

Priyadarshini SR; Computational Modeling and Nanoscale Processing Unit, Indian Institute of Food Processing Technology (IIFPT), Ministry of Food Processing Industries, Government of India, Thanjavur, Tamil Nadu 613005, India.
Moses JA; Computational Modeling and Nanoscale Processing Unit, Indian Institute of Food Processing Technology (IIFPT), Ministry of Food Processing Industries, Government of India, Thanjavur, Tamil Nadu 613005, India. Electronic address: moses.ja@iifpt.edu.in.
Anandharamakrishnan C; Computational Modeling and Nanoscale Processing Unit, Indian Institute of Food Processing Technology (IIFPT), Ministry of Food Processing Industries, Government of India, Thanjavur, Tamil Nadu 613005, India. Electronic address: anandharamakrishnan@iifpt.edu.in.

Food Res Int ; 147: 110459, 2021 09.

Article en En | MEDLINE | ID: mdl-34399459

Asunto(s)

Glucemia; Harina; Animales; Índice Glucémico; Humanos; Intestino Delgado; Triticum

Palabras clave

Artificial digestion; Engineered small intestine; Ethical challenges; Glycemic index; Mass transfer

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Glucemia / Harina Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Ethics Límite: Animals / Humans Idioma: En Revista: Food Res Int Año: 2021 Tipo del documento: Article País de afiliación: India Pais de publicación: Canadá

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