Zobrazeno 1 - 4
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pro vyhledávání: '"supervised orthogonal projections to latent structures discriminant analysis"'
Autor:
Rosa López-Aguilar, Holber Zuleta-Prada, Arturo Hernández-Montes, José Enrique Herbert-Pucheta
Publikováno v:
Foods, Vol 10, Iss 1, p 157 (2021)
The oenological industry has benefited from the use of Nuclear Magnetic Resonance (1H-NMR) spectroscopy in combination with Multivariate Statistical Analysis (MSA) as a foodomics tool for retrieving discriminant features related to geographical origi
Externí odkaz:
https://doaj.org/article/dab3a07ebdcb473ebcfb293499a5d3dd
Autor:
López-Aguilar, Rosa, Zuleta-Prada, Holber, Hernández-Montes, Arturo, Herbert-Pucheta, José Enrique
Publikováno v:
Foods
Volume 10
Issue 1
Volume 10
Issue 1
The oenological industry has benefited from the use of Nuclear Magnetic Resonance (1H-NMR) spectroscopy in combination with Multivariate Statistical Analysis (MSA) as a foodomics tool for retrieving discriminant features related to geographical origi
Autor:
José Enrique Herbert-Pucheta, Arturo Hernández-Montes, Rosa López-Aguilar, Holber Zuleta-Prada
Publikováno v:
Foods, Vol 10, Iss 157, p 157 (2021)
Foods
Foods
The oenological industry has benefited from the use of Nuclear Magnetic Resonance (1H-NMR) spectroscopy in combination with Multivariate Statistical Analysis (MSA) as a foodomics tool for retrieving discriminant features related to geographical origi
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