Differences Due to Sex and Sweetener on the Bioavailability of (Poly)phenols in Urine Samples: A Machine Learning Approach.

Hernández-Prieto, Diego; Garre, Alberto; Agulló, Vicente; García-Viguera, Cristina; Egea, Jose A

Hernández-Prieto, Diego; Garre, Alberto; Agulló, Vicente; García-Viguera, Cristina; Egea, Jose A.

Afiliación

Hernández-Prieto D; Lab Fitoquimica y Alimentos Saludables (LabFAS), Department of Food Science and Technology (CEBAS-CSIC), Campus Universitario Espinardo, 25, 30100 Murcia, Spain.
Garre A; Agronomic Engineering Department, Universidad Politécnica de Cartagena (UPCT), Paseo Alfonso XIII, 48, 30203 Cartagena, Spain.
Agulló V; Associated Unit of R&D and Innovation CEBAS-CSIC+UPCT on "Quality and Risk Assessment of Foods", CEBAS-CSIC, Campus Universitario de Espinardo, 25, 30100 Murcia, Spain.
García-Viguera C; Human Nutrition Unit, Department of Food & Drug, University of Parma, 43125 Parma, Italy.
Egea JA; Lab Fitoquimica y Alimentos Saludables (LabFAS), Department of Food Science and Technology (CEBAS-CSIC), Campus Universitario Espinardo, 25, 30100 Murcia, Spain.

Metabolites ; 13(5)2023 May 11.

Article en En | MEDLINE | ID: mdl-37233694

Palabras clave

beverage; biostatistics; citrus; clustering; health; longitudinal trial; maqui; sweeteners

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Metabolites Año: 2023 Tipo del documento: Article País de afiliación: España

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