| Autor: |
Cristian Galaz Torres, Arianna Ricci, Giuseppina Paola Parpinello, Angelita Gambuti, Alessandra Rinaldi, Luigi Moio, Luca Rolle, Maria Alessandra Paissoni, Fulvio Mattivi, Daniele Perenzoni, Panagiotis Arapitsas, Matteo Marangon, Christine Mayr Marangon, Davide Slaghenaufi, Maurizio Ugliano, Andrea Versari |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Current Research in Food Science, Vol 7, Iss , Pp 100626- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2665-9271 |
| DOI: |
10.1016/j.crfs.2023.100626 |
| Popis: |
Astringency is an essential sensory attribute of red wine closely related to the saliva precipitation upon contact with the wine. In this study a data matrix of 52 physico-chemical parameters was used to predict the Saliva Precipitation Index (SPI) in 110 Italian mono-varietal red wines using partial least squares regression (PLSr) with variable selection by Variable Importance for Projection (VIP) and the significance of regression coefficients. The final PLSr model, evaluated using a test data set, had 3 components and yielded an R2test of 0.630 and an RMSEtest of 0.994, with 19 independent variables whose regression coefficients were all significant at p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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