Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes-A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR.

Sipos, László; Végh, Rita; Bodor, Zsanett; Zaukuu, John-Lewis Zinia; Hitka, Géza; Bázár, György; Kovacs, Zoltan

Sipos, László; Végh, Rita; Bodor, Zsanett; Zaukuu, John-Lewis Zinia; Hitka, Géza; Bázár, György; Kovacs, Zoltan.

Afiliação

Sipos L; Commercial and Sensory Science, Department of Postharvest, Faculty of Food Science, Szent István University, 39-43 Villányi Street, 1118 Budapest, Hungary.
Végh R; Department of Food Chemistry and Nutrition Science, Faculty of Food Science, Szent István University, 14-16 Somlói Street, 1118 Budapest, Hungary.
Bodor Z; Department of Measurement and Process Control, Faculty of Food Science, Szent István University, 14-16 Somlói Street, 1118 Budapest, Hungary.
Zaukuu JZ; Department of Measurement and Process Control, Faculty of Food Science, Szent István University, 14-16 Somlói Street, 1118 Budapest, Hungary.
Hitka G; Commercial and Sensory Science, Department of Postharvest, Faculty of Food Science, Szent István University, 39-43 Villányi Street, 1118 Budapest, Hungary.
Bázár G; Department of Nutritional Science and Production Technology, Faculty of Agricultural and Environmental Sciences, Szent István University, 40 Guba Sándor Street, 7400 Kaposvár, Hungary.
Kovacs Z; ADEXGO Ltd., 13 Lapostelki Street, 8230 Balatonfüred, Hungary.

Sensors (Basel) ; 20(23)2020 Nov 26.

Article em En | MEDLINE | ID: mdl-33256130

Assuntos

Nariz Eletrônico; Pólen; Animais; Abelhas; Colorimetria; Análise Discriminante; Língua

Palavras-chave

CIE L*a*b* colour coordinates; electronic nose; electronic tongue; linear discriminant analysis (LDA); multivariate analysis; palynological analysis; partial least square regression (PLSR); principal component analysis (PCA); sensory panel performance; spectra

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pólen / Nariz Eletrônico Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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