Literature DB >> 34299609

A Review of Wine Authentication Using Spectroscopic Approaches in Combination with Chemometrics.

Ranaweera K R Ranaweera1, Dimitra L Capone1,2, Susan E P Bastian1,2, Daniel Cozzolino3, David W Jeffery1,2.   

Abstract

In a global context where trading of wines involves considerable economic value, the requirement to guarantee wine authenticity can never be underestimated. With the ever-increasing advancements in analytical platforms, research into spectroscopic methods is thriving as they offer a powerful tool for rapid wine authentication. In particular, spectroscopic techniques have been identified as a user-friendly and economical alternative to traditional analyses involving more complex instrumentation that may not readily be deployable in an industry setting. Chemometrics plays an indispensable role in the interpretation and modelling of spectral data and is frequently used in conjunction with spectroscopy for sample classification. Considering the variety of available techniques under the banner of spectroscopy, this review aims to provide an update on the most popular spectroscopic approaches and chemometric data analysis procedures that are applicable to wine authentication.

Entities:  

Keywords:  authenticity; machine learning; multivariate analysis; spectral data; wine fingerprinting

Year:  2021        PMID: 34299609     DOI: 10.3390/molecules26144334

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  2 in total

1.  Visible and Near-Infrared Spectroscopy Combined With Bayes Classifier Based on Wavelength Model Optimization Applied to Wine Multibrand Identification.

Authors:  Tao Pan; Jiaqi Li; Chunli Fu; Nailiang Chang; Jiemei Chen
Journal:  Front Nutr       Date:  2022-07-18

2.  Data Fusion Approaches for the Characterization of Musts and Wines Based on Biogenic Amine and Elemental Composition.

Authors:  Aina Mir-Cerdà; Biel Granell; Anaïs Izquierdo-Llopart; Àngels Sahuquillo; José Fermín López-Sánchez; Javier Saurina; Sonia Sentellas
Journal:  Sensors (Basel)       Date:  2022-03-09       Impact factor: 3.576

  2 in total

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