Drying temperature-dependent profile of bioactive compounds and prediction of antioxidant capacity of cashew apple pomace using coupled Gaussian Process Regression and Support Vector Regression (GPR-SVR) model.

Luka, Bobby Shekarau; Yuguda, Taitiya Kenneth; Adnouni, Meriem; Zakka, Riyang; Abdulhamid, Ibrahim Bako; Gargea, Bumbyerga Garboa

Luka, Bobby Shekarau; Yuguda, Taitiya Kenneth; Adnouni, Meriem; Zakka, Riyang; Abdulhamid, Ibrahim Bako; Gargea, Bumbyerga Garboa.

Afiliação

Luka BS; Department of Agricultural Engineering, Federal University Wukari, Taraba State, Nigeria.
Yuguda TK; Department of Food Science and Technology, Federal University Wukari, Taraba State, Nigeria.
Adnouni M; College of Environment, Hohai University, Nanjing 210098, China.
Zakka R; Institution of Refrigeration and Cryogenics, Zhejiang University, Hangzhou, 310027, China.
Abdulhamid IB; Department of Food Science and Technology, Federal University Wukari, Taraba State, Nigeria.
Gargea BG; Department of Computer Engineering, Federal University Wukari, Taraba State, Nigeria.

Heliyon ; 8(9): e10461, 2022 Sep.

Article em En | MEDLINE | ID: mdl-36119886

Palavras-chave

Bioactive compounds quantification; Cashew apple pomace; Coupled GPRSVR; Drying; Gaussian Process Regression modeling; Predicting antioxidant capacity; Support Vector Regression modeling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Nigéria

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