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Application of Multivariate Regression Methods to Predict Sensory Quality of Red Wines

Aleixandre Tudo, José; Alvarez Cano, María Inmaculada; García Esparza, Mª José; Lizama Abad, Victoria; Aleixandre Benavent, José Luís (CZECH ACADEMY AGRICULTURAL SCIENCES, 2015)

Several multivariate methods including partial least squares (PLS) regression, principal component regression (PCR) or multiple linear regression (MLR) have been applied to predict wine quality, based on the definition ...
Robust Ultraviolet-Visible (UV-Vis) Partial Least-Squares (PLS) Models for Tannin Quantification in Red Wine

Aleixandre Tudo, José; Helené Nieuwoudt; Aleixandre Benavent, José Luís; Du Toit, Wessel J. (American Chemical Society, 2015-02-04)

[EN] The validation of ultraviolet-visible (UV-vis) spectroscopy combined with partial least-squares (PLS) regression to quantify red wine tannins is reported. The methylcellulose precipitable (MCP) tannin assay and the ...
Use of impedance spectroscopy for predicting freshness of sea bream (Sparus aurata)

Pérez-Esteve, Édgar; Fuentes López, Ana; Grau Meló, Raúl; Fernández Segovia, Isabel; Masot Peris, Rafael; Alcañiz Fillol, Miguel; Barat Baviera, José Manuel (Elsevier, 2014-01)

In the present study, the use of a rapid portable system based on impedance spectroscopy to assess fish freshness has been tested. The evolution of different physical and chemical parameters (moisture, fat, pH and TVBN) ...

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