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 |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Health (social science)
ancestral and artisanal mezcals media_common.quotation_subject Plant Science lcsh:Chemical technology 01 natural sciences Health Professions (miscellaneous) Microbiology proton nuclear magnetic resonance Article industrialized wines 0404 agricultural biotechnology Foodomics Quality (business) Statistical analysis lcsh:TP1-1185 Nmr based metabolomics media_common Profiling (computer programming) biology business.industry 010401 analytical chemistry 04 agricultural and veterinary sciences Agave biology.organism_classification Linear discriminant analysis 040401 food science 0104 chemical sciences Biotechnology supervised orthogonal projections to latent structures discriminant analysis Geography Multivariate statistical business Food Science |
| Zdroj: | Foods, Vol 10, Iss 157, p 157 (2021) Foods |
| ISSN: | 2304-8158 |
| Popis: | 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 origins, grape varieties, and further quality controls. Said omics methods have gained such attention that Intergovernmental Organizations and Control Agencies are currently recommending their massive use amongst countries as quality compliances for tracking standard and degradation parameters, fermentation products, polyphenols, amino acids, geographical origins, appellations d’origine contrôlée and type of monovarietal strains in wines. This study presents, for the first time, a 1H-NMR/MSA profiling of industrial Mexican wines, finding excellent statistical features to discriminate between oenological regions and grape varieties with supervised Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA). In a comparative way, it is applied with the 1H-NMR/OPLS-DA workflow for the first time in ancestral and artisanal Mexican mezcals with promising results to discriminate between regions, agave species and manufacturing processes. The central aim of this comparative study is to extrapolate the know-how of wine-omics into the non-professionalized mezcal industry for establishing the NMR acquisition, preprocessing and statistical analysis basis to implement novel, non-invasive and highly reproducible regional, agave species and manufacturing-quality controls. |
| Databáze: | OpenAIRE |
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