Zobrazeno 1 - 4 of 4 pro vyhledávání: '"ancestral and artisanal mezcals"'
1
Akademický článek
Comparative NMR Metabolomics Profiling between Mexican Ancestral & Artisanal Mezcals and Industrialized Wines to Discriminate Geographical Origins, Agave Species or Grape Varieties and Manufacturing Processes as a Function of Their Quality Attributes
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
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2
Artisanal Mezcals and Industrialized Wines to Discriminate Geographical Origins, Agave Species or Grape Varieties and Manufacturing Processes as a Function of Their Quality Attributes
Autor: López-Aguilar, Rosa, Zuleta-Prada, Holber, Hernández-Montes, Arturo, Herbert-Pucheta, José Enrique
Publikováno v: Foods
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::eed1abee8e7eea43f1201c6ced5fae60
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3
Comparative NMR Metabolomics Profiling between Mexican Ancestral & Artisanal Mezcals and Industrialized Wines to Discriminate Geographical Origins, Agave Species or Grape Varieties and Manufacturing Processes as a Function of Their Quality Attributes
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
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::82315a9ba4053905888a846499fa16b5
https://www.mdpi.com/2304-8158/10/1/157
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4
Akademický článek
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