Literature DB >> 27283630

Controlling protected designation of origin of wine by Raman spectroscopy.

Luisa Mandrile1, Giuseppe Zeppa2, Andrea Mario Giovannozzi3, Andrea Mario Rossi4.   

Abstract

In this paper, a Fourier Transform Raman spectroscopy method, to authenticate the provenience of wine, for food traceability applications was developed. In particular, due to the specific chemical fingerprint of the Raman spectrum, it was possible to discriminate different wines produced in the Piedmont area (North West Italy) in accordance with i) grape varieties, ii) production area and iii) ageing time. In order to create a consistent training set, more than 300 samples from tens of different producers were analyzed, and a chemometric treatment of raw spectra was applied. A discriminant analysis method was employed in the classification procedures, providing a classification capability (percentage of correct answers) of 90% for validation of grape analysis and geographical area provenance, and a classification capability of 84% for ageing time classification. The present methodology was applied successfully to raw materials without any preliminary treatment of the sample, providing a response in a very short time.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Chemometrics; Fingerprint; Food traceability; Raman spectroscopy; Wine

Mesh:

Year:  2016        PMID: 27283630     DOI: 10.1016/j.foodchem.2016.05.011

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

1.  Characterization and classification of wines according to geographical origin, vintage and specific variety based on elemental content: a new chemometric approach.

Authors:  Ioana Feher; Dana Alina Magdas; Adriana Dehelean; Costel Sârbu
Journal:  J Food Sci Technol       Date:  2019-08-05       Impact factor: 2.701

2.  Geographical origin traceability of Cabernet Sauvignon wines based on Infrared fingerprint technology combined with chemometrics.

Authors:  Xiao-Zhen Hu; Si-Qi Liu; Xiao-Hong Li; Chuan-Xian Wang; Xin-Lu Ni; Xia Liu; Yang Wang; Yuan Liu; Chang-Hua Xu
Journal:  Sci Rep       Date:  2019-06-04       Impact factor: 4.379

3.  Expedite SERS Fingerprinting of Portuguese White Wines Using Plasmonic Silver Nanostars.

Authors:  Miguel Peixoto de Almeida; Nicolae Leopold; Ricardo Franco; Eulália Pereira
Journal:  Front Chem       Date:  2019-05-24       Impact factor: 5.221

4.  Using Raman Spectroscopy as a Fast Tool to Classify and Analyze Bulgarian Wines-A Feasibility Study.

Authors:  Vera Deneva; Ivan Bakardzhiyski; Krasimir Bambalov; Daniela Antonova; Diana Tsobanova; Valentin Bambalov; Daniel Cozzolino; Liudmil Antonov
Journal:  Molecules       Date:  2019-12-31       Impact factor: 4.411

5.  Testing the limits of FT-Raman spectroscopy for wine authentication: Cultivar, geographical origin, vintage and terroir effect influence.

Authors:  Dana Alina Magdas; Bogdan Ionut Cozar; Ioana Feher; Francois Guyon; Adriana Dehelean; Simona Cinta Pinzaru
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  5 in total

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