Literature DB >> 23425149

Classification of Argentinean Sauvignon blanc wines by UV spectroscopy and chemometric methods.

Silvana Mariela Azcarate1, Miguel Ángel Cantarelli, Roberto Gerardo Pellerano, Eduardo Jorge Marchevsky, José Manuel Camiña.   

Abstract

UNLABELLED: Argentina is an important worldwide wine producer. In this country, there are several recognizable provinces that produce Sauvignon blanc wines: Neuquén, Río Negro, Mendoza, and San Juan. The analysis of the provenance of these white wines is complex and requires the use of expensive and time-consuming techniques. For this reason, this work discusses the determination of the provenance of Argentinean Sauvignon blanc wines by the use of UV spectroscopy and chemometric methods, such as principal component analysis (PCA), cluster analysis (CA), linear discriminant analysis (LDA), and partial least square discriminant analysis (PLS-DA). The proposed method requires low-cost equipment and short-time analysis in comparison with other techniques. The results are in very good agreement with results based on the geographical origin of Sauvignon blanc wines. PRACTICAL APPLICATION: This manuscript describes a method to determine the geographical origin of Sauvignon wines from Argentina. The main advantage of this method is the use of nonexpensive techniques, such as UV-Vis spectroscopy.
© 2013 Institute of Food Technologists®

Mesh:

Year:  2013        PMID: 23425149     DOI: 10.1111/1750-3841.12060

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  2 in total

1.  Prospect on Ionomic Signatures for the Classification of Grapevine Berries According to Their Geographical Origin.

Authors:  Youry Pii; Anita Zamboni; Silvia Dal Santo; Mario Pezzotti; Zeno Varanini; Tiziana Pandolfini
Journal:  Front Plant Sci       Date:  2017-04-24       Impact factor: 5.753

2.  Application of Spectroscopic UV-Vis and FT-IR Screening Techniques Coupled with Multivariate Statistical Analysis for Red Wine Authentication: Varietal and Vintage Year Discrimination.

Authors:  Elisabeta-Irina Geană; Corina Teodora Ciucure; Constantin Apetrei; Victoria Artem
Journal:  Molecules       Date:  2019-11-17       Impact factor: 4.411

  2 in total

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