Literature DB >> 33451115

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.

Rosa López-Aguilar1, Holber Zuleta-Prada2, Arturo Hernández-Montes1, José Enrique Herbert-Pucheta3,4.   

Abstract

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.

Entities:  

Keywords:  ancestral and artisanal mezcals; industrialized wines; proton nuclear magnetic resonance; supervised orthogonal projections to latent structures discriminant analysis

Year:  2021        PMID: 33451115      PMCID: PMC7828614          DOI: 10.3390/foods10010157

Source DB:  PubMed          Journal:  Foods        ISSN: 2304-8158


  22 in total

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Journal:  J Agric Food Chem       Date:  2002-04-24       Impact factor: 5.279

2.  Toward the determination of the geographical origin of Emmental(er) cheese via high resolution MAS NMR: a preliminary investigation.

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3.  Nuclear Magnetic Resonance (NMR) Spectroscopy in Food Science: A Comprehensive Review.

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4.  Independent components analysis to increase efficiency of discriminant analysis methods (FDA and LDA): Application to NMR fingerprinting of wine.

Authors:  Yulia B Monakhova; Rolf Godelmann; Thomas Kuballa; Svetlana P Mushtakova; Douglas N Rutledge
Journal:  Talanta       Date:  2015-03-27       Impact factor: 6.057

5.  Effects of furfural on the respiratory metabolism of Saccharomyces cerevisiae in glucose-limited chemostats.

Authors:  Ilona Sárvári Horváth; Carl Johan Franzén; Mohammad J Taherzadeh; Claes Niklasson; Gunnar Lidén
Journal:  Appl Environ Microbiol       Date:  2003-07       Impact factor: 4.792

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Journal:  Nature       Date:  2008-04-20       Impact factor: 49.962

7.  NMR carbohydrate profile in tracing acacia honey authenticity.

Authors:  Elisabetta Schievano; Marco Sbrizza; Valentina Zuccato; Lucia Piana; Marco Tessari
Journal:  Food Chem       Date:  2019-10-25       Impact factor: 7.514

8.  Identity Profiling of Complex Mixtures of Peptide Products by Structural and Mass Mobility Orthogonal Analysis.

Authors:  Said Vázquez-Leyva; Luis Vallejo-Castillo; Carlos A López-Morales; José Enrique Herbert-Pucheta; L Gerardo Zepeda-Vallejo; Marco Velasco-Velázquez; Lenin Pavón; Sonia M Pérez-Tapia; Emilio Medina-Rivero
Journal:  Anal Chem       Date:  2019-10-30       Impact factor: 6.986

9.  NMRProcFlow: a graphical and interactive tool dedicated to 1D spectra processing for NMR-based metabolomics.

Authors:  D Jacob; C Deborde; M Lefebvre; M Maucourt; A Moing
Journal:  Metabolomics       Date:  2017-02-17       Impact factor: 4.290

10.  Predominant Yeasts During Artisanal Mezcal Fermentation and Their Capacity to Ferment Maguey Juice.

Authors:  Hipócrates Nolasco-Cancino; Jorge A Santiago-Urbina; Carmen Wacher; Francisco Ruíz-Terán
Journal:  Front Microbiol       Date:  2018-12-06       Impact factor: 5.640

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  1 in total

1.  Foodomics: Analytical Opportunities and Challenges.

Authors:  Alberto Valdés; Gerardo Álvarez-Rivera; Bárbara Socas-Rodríguez; Miguel Herrero; Elena Ibáñez; Alejandro Cifuentes
Journal:  Anal Chem       Date:  2021-11-23       Impact factor: 6.986

  1 in total

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