NMR spectroscopy in wine authentication: An official control perspective
- PMID: 33506593
- DOI: 10.1111/1541-4337.12700
NMR spectroscopy in wine authentication: An official control perspective
Abstract
Wine authentication is vital in identifying malpractice and fraud, and various physical and chemical analytical techniques have been employed for this purpose. Besides wet chemistry, these include chromatography, isotopic ratio mass spectrometry, optical spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy, which have been applied in recent years in combination with chemometric approaches. For many years, 2 H NMR spectroscopy was the method of choice and achieved official recognition in the detection of sugar addition to grape products. Recently, 1 H NMR spectroscopy, a simpler and faster method (in terms of sample preparation), has gathered more and more attention in wine analysis, even if it still lacks official recognition. This technique makes targeted quantitative determination of wine ingredients and nontargeted detection of the metabolomic fingerprint of a wine sample possible. This review summarizes the possibilities and limitations of 1 H NMR spectroscopy in analytical wine authentication, by reviewing its applications as reported in the literature. Examples of commercial and open-source solutions combining NMR spectroscopy and chemometrics are also examined herein, together with its opportunities of becoming an official method.
Keywords: food analysis; food fraud; metabolomics; nuclear magnetic resonance (NMR); wine.
© 2021 Institute of Food Technologists®.
References
REFERENCES
-
- Alewijn, M., van der Voet, H., & van Ruth, S. (2016). Validation of multivariate classification methods using analytical fingerprints - Concept and case study on organic feed for laying hens. Journal of Food Composition and Analysis, 51, 15-23. https://doi.org/10.1016/j.jfca.2016.06.003
-
- Ali, K., Maltese, F., Toepfer, R., Choi, Y. H., & Verpoorte, R. (2011). Metabolic characterization of Palatinate German white wines according to sensory attributes, varieties, and vintages using NMR spectroscopy and multivariate data analyses. Journal of Biomolecular NMR, 49(3), 255-266. https://doi.org/10.1007/s10858-011-9487-3
-
- Amargianitaki, M., & Spyros, A. (2017). NMR-based metabolomics in wine quality control and authentication. Chemical and Biological Technologies in Agriculture, 4(1), 9. https://doi.org/10.1186/s40538-017-0092-x
-
- Anastasiadi, M., Zira, A., Magiatis, P., Haroutounian, S., Skaltsounis, A., & Mikros, E. (2009). 1H NMR-based metabonomics for the classification of Greek wines according to variety, region, and vintage. Comparison with HPLC data. Journal of Agricultural and Food Chemistry, 57(23), 11067-11074. https://doi.org/10.1021/jf902137e
-
- Anders, U., Tittgemeier, F., & Hailer, G. (1976). 1H-NMR Bestimmung von Äthanol in Wein, weinähnlichen Getränken und Spirituosen. Zeitschrift Für Lebensmittel-Untersuchung Und Forschung, 162(1), 21-24. https://doi.org/10.1007/BF01104356
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