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Characterization and ageing monitoring of Marsala dessert wines by a rapid FTIR-ATR method coupled with multivariate analysis

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Abstract

Marsala is a dessert wine exclusively produced in the province of Trapani (Sicily, Italy). Twenty-nine different categories of Marsala are present on the market sort by the grape variety, production technology and aging. This research aims to develop a fast and easy method to characterize the different categories using attenuated total reflectance Fourier transform infrared (FTIR-ATR) spectroscopy combined with multivariate analysis. Principal Component Analysis (PCA), applied to spectral data, allowed separating wine samples of different sugar content and distinguishing the tanned samples (Fine, Superiore and Superior reserve) from the most valuable Virgin ones. Moreover, Linear Discriminant Analysis (LDA) was applied to the spectral data with a CV higher than 20% to discriminate among Marsala wines of different aging times. The results showed a complete discrimination of 100%. The confusion matrix of cross validation was equal to 87.76% indicating a high percentage of correct classification also in prediction. The proposed method is promising as it is simple and rapid and no sample pre-treatment steps are required. Moreover, it is environmentally friendly since no organic solvents are used. It could be of great interest to verify the conformity of the Marsala wines to the declaration labeled; moreover, it could be used for wine aging monitoring and/or verifying the effects of innovation in the production process.

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References

  1. Italian Republic (1969) DPR 2 April 1969, Italian Official Gazette 143, 10 june 1969

  2. La Torre GL, La Pera L, Rando R, Turco VL, Di Bella G, Saitta M, Dugo G (2008) Classification of Marsala wines according to their polyphenol, carbohydrate and heavy metal levels using canonical discriminant analysis. Food Chem 110:729–734

    Article  CAS  Google Scholar 

  3. Dugo G, La Pera L, Pellicanó TM, Di Bella G, D’Imperio M (2005) Determination of some inorganic anions and heavy metals in DOC Golden and Amber Marsala wines: statistical study of the influence of ageing period, colour and sugar content. Food Chem 91:355–363

    Article  CAS  Google Scholar 

  4. Cen H, He Y (2007) Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends Food Sci Technol 18:72–83

    Article  CAS  Google Scholar 

  5. Roussel S, Bellon-Maurel V, Roger JM, Grenier P (2003) Authenticating white grape must variety with classification models based on aroma sensors, FT-IR and UV spectrometry. J Food Eng 60:407–419

    Article  Google Scholar 

  6. Palma M, Barroso CG (2002) Application of FT-IR spectroscopy to the characterisation and classification of wines, brandies and other distilled drinks. Talanta 58:265–271

    Article  CAS  PubMed  Google Scholar 

  7. Urtubia A, Pérez-correa JR, Pizarro F, Agosin E (2008) Exploring the applicability of MIR spectroscopy to detect early indications of wine fermentation problems. Food Control 19:382–388

    Article  CAS  Google Scholar 

  8. Bevin CJ, Fergusson AJ, Perry WB, Janik LJ, Cozzolino D (2006) Development of a rapid “fingerprinting” system for wine authenticity by mid-infrared spectroscopy. J Agric Food Chem 54:9713–9718

    Article  CAS  PubMed  Google Scholar 

  9. Regmi U, Palma M, Barroso CG (2012) Direct determination of organic acids in wine and wine-derived products by Fourier transform infrared (FT-IR) spectroscopy and chemometric techniques. Anal Chim Acta 732:137–144

    Article  CAS  PubMed  Google Scholar 

  10. Anjos O, Santos AJ, Estevinho LM, Caldeira I (2016) FTIR-ATR spectroscopy applied to quality control of grape-derived spirits. Food Chem 205:28–35

    Article  CAS  PubMed  Google Scholar 

  11. Basalekou M, Pappas C, Tarantilis P, Kotseridis Y, Kallithraka S (2017) Wine authentication with Fourier transform infrared spectroscopy: a feasibility study on variety, type of barrel wood and ageing time classification. Int J Food Sci Tech 52:1307–1313

    Article  CAS  Google Scholar 

  12. European Commission (2003) Regulation 440/2003/EEC of the European Commission on the determining community methods for the analysis of wines, amending Regulation 2676/90/EEC. Off J Eur Union L66:15–23

    Google Scholar 

  13. Wiercigroch E, Szafraniec E, Czamara K, Pacia MZ, Majzner K, Kochan K, Kaczor A, Baranska M, Malek K (2017) Raman and infrared spectroscopy of carbohydrates: a review. Spectrochim Acta A Mol Biomol Spectrosc 185:317–335

    Article  CAS  PubMed  Google Scholar 

  14. Ríos-Reina R, Callejón RM, Oliver-Pozo C, Amigo JM, García-González DL (2017) ATR-FTIR as a potential tool for controlling high quality vinegar categories. Food Control 78:230–237

    Article  CAS  Google Scholar 

  15. Shiroma C, Rodriguez-Saona L (2009) Application of NIR and MIR spectroscopy in quality control of potato chips. J Food Compos Anal 22:596–605

    Article  CAS  Google Scholar 

  16. Dong D, Zheng W, Jiao L, Lang Y, Zhao X (2016) Chinese vinegar classification via volatiles using long-optical-path infrared spectroscopy and chemometrics. Food Chem 194:95–100

    Article  CAS  PubMed  Google Scholar 

  17. Zhang YL, Chen JB, Lei Y, Zhou Q, Sun SQ, Noda I (2010) Discrimination of different red wine by Fourier-transform infrared and two-dimensional infrared correlation spectroscopy. J Mol Struct 974:144–150

    Article  CAS  Google Scholar 

  18. Kyraleou M, Kallithraka S, Chira K, Tzanakouli E, Ligas I, Kotseridis Y (2015) Differentiation of wines treated with wood chips based on their phenolic content, volatile composition, and sensory parameters. J Food Sci 80:C2701-C2710

    Article  CAS  Google Scholar 

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Correspondence to Fabrizio Cincotta.

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Concetta Condurso, Fabrizio Cincotta, Gianluca Tripodi, and Antonella Verzera declare that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Condurso, C., Cincotta, F., Tripodi, G. et al. Characterization and ageing monitoring of Marsala dessert wines by a rapid FTIR-ATR method coupled with multivariate analysis. Eur Food Res Technol 244, 1073–1081 (2018). https://doi.org/10.1007/s00217-017-3025-9

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  • DOI: https://doi.org/10.1007/s00217-017-3025-9

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