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Variable selection for multivariate classification aiming to detect individual adulterants and their blends in grape nectars.

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第一作者： Carolina Sheng Whei,Miaw

第一单位： Department of Food Science, Faculty of Pharmacy (FAFAR), Federal University of Minas Gerais (UFMG), Av. Antônio Carlos, 6627, Campus da UFMG, Pampulha, 31270-010 Belo Horizonte, MG, Brazil; CAPES Foundation, Ministry of Education of Brazil, 70040-020 Brasília, DF, Brazil; Chemometrics, Qualimetric and Nanosensors Group, Department of Analytical and Organic Chemistry, Rovira i Virgili University, Marcel·lí Domingo s/n, 43007 Tarragona, Spain.

作者： Carolina Sheng Whei,Miaw ^[1] ; Marcelo Martins,Sena ^[2] ; Scheilla Vitorino Carvalho de,Souza ^[3] ; Itziar,Ruisanchez ^[4] ; Maria Pilar,Callao ^[5]

作者单位： Department of Food Science, Faculty of Pharmacy (FAFAR), Federal University of Minas Gerais (UFMG), Av. Antônio Carlos, 6627, Campus da UFMG, Pampulha, 31270-010 Belo Horizonte, MG, Brazil; CAPES Foundation, Ministry of Education of Brazil, 70040-020 Brasília, DF, Brazil; Chemometrics, Qualimetric and Nanosensors Group, Department of Analytical and Organic Chemistry, Rovira i Virgili University, Marcel·lí Domingo s/n, 43007 Tarragona, Spain. ^[1] Department of Chemistry, Institute of Exact Sciences (ICEX), Federal University of Minas Gerais (UFMG), Campus da UFMG, Pampulha, 31270-010 Belo Horizonte, MG, Brazil. ^[2] Department of Food Science, Faculty of Pharmacy (FAFAR), Federal University of Minas Gerais (UFMG), Av. Antônio Carlos, 6627, Campus da UFMG, Pampulha, 31270-010 Belo Horizonte, MG, Brazil. ^[3] Chemometrics, Qualimetric and Nanosensors Group, Department of Analytical and Organic Chemistry, Rovira i Virgili University, Marcel·lí Domingo s/n, 43007 Tarragona, Spain. Electronic address: itziar.ruisanchez@urv.cat. ^[4] Chemometrics, Qualimetric and Nanosensors Group, Department of Analytical and Organic Chemistry, Rovira i Virgili University, Marcel·lí Domingo s/n, 43007 Tarragona, Spain. ^[5]

关键词 Food fraud Grape nectar Multi-class methods PLS-DA SIMCA Variable selection