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Data do documento	Título	Autor(es)	Tipo
2020	Comparison of different multivariate classification methods for the detection of adulterations in grape nectars by using low-field nuclear magnetic resonance	Carolina Sheng Whei Miaw; Poliana Macedo Santos; Alessandro Rangel Carolino Sales Silva; Aline Gozzi; Nilson César Castanheira Guimarães; Maria Pilar Callao; Itziar Ruisánchez; Marcelo Martins de Sena; Scheilla Vitorino Carvalho de Souza	Artigo de Periódico
2018	Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies	Carolina Sheng Whei Miaw; Marcelo Martins Sena; Scheilla Vitorino Carvalho de Souza; Maria Pilar Callao; Itziar Ruisanchez	Artigo de Periódico
Set-2017	Detection of several common adulterants in raw milk by mid-infrared spectroscopy and one-class and multi-class multivariate strategies	Carina de Souza Gondim; Roberto Gonçalves Junqueira; Scheilla Vitorino Carvalho de Souza; Itziar Ruisánchez; Maria Pilar Callao	Artigo de Periódico
1-Jun-2017	Determining performance parameters in qualitative multivariate methods using probability of detection (POD) curves. Case study: two common milk adulterants	Carina de Souza Gondim; Roberto Gonçalves Junqueira; Scheilla Vitorino Carvalho de Souza; Maria Pilar Callao; Itziar Ruisánchez	Artigo de Periódico
2018	Variable selection for multivariate classification aiming to detect individual adulterants and their blends in grape nectars	Carolina Sheng Whei Miaw; Marcelo Martins Sena; Scheilla Vitorino Carvalho de Souza; Itziar Ruisanchez; Maria Pilar Callao	Artigo de Periódico

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