Enrique Alves

Brazilian Agricultural Research Corporation - Embrapa

SCHOLARLY PAPERS

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Scholarly Papers (2)

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1.

Brazilian Canephora Coffee Evaluation Using Nir Spectroscopy and Discriminant Chemometric Techniques

Number of pages: 32 Posted: 17 Sep 2022
Michel Baqueta, Enrique Alves, Patricia Valderrama and Juliana Azevedo Lima Pallone
Sapienza University of Rome - Department of Chemistry, Brazilian Agricultural Research Corporation - Embrapa, Federal Technological University of Paraná and Universidade Estadual de Campinas (UNICAMP)
Downloads 50 (761,693)

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Conilon, Geographical origin, Multivariate classification, NIR spectroscopy, PLS-DA, Robusta

2.

ComDim and Duplex-Based Sample Selection in Comparing Benchtop and Portable NIR for Discrimination of Robusta Amazônico Coffee Farmed by Indigenous and Non-Indigenous People in Amazon

Number of pages: 17 Posted: 09 Dec 2022
Michel Baqueta, Patricia Valderrama, Enrique Alves, Juliana Azevedo Lima Pallone and Federico Marini
Sapienza University of Rome - Department of Chemistry, Federal Technological University of Paraná, Brazilian Agricultural Research Corporation - Embrapa, Universidade Estadual de Campinas (UNICAMP) and Sapienza University of Rome - Department of Chemistry
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Amazonian Robusta, Chemometrics, Coffee analytical chemistry, Partial least squares-discriminant analysis (PLS-DA), Equipment comparison, Miniaturized NIR.