Spectroscopic Techniques Application for Wine and Wine Byproduct Authentication
Source abstract
Abstract
The growing concern regarding the authenticity of wine and wine byproducts, particularly in terms of their origin and grape varieties, is of great importance to both consumers and the wine industry. Verifying the accuracy of information presented on labels is crucial for this sector, as regulatory frameworks strictly govern the veracity of claims made to consumers. This concern has driven the development and application of innovative analytical methods, such as spectroscopic techniques, which utilize different wavelengths of the electromagnetic spectrum, including the visible (Vis), ultraviolet (UV), and infrared (IR) regions. This review aims to highlight the importance of understanding a wine’s unique fingerprint. To achieve this, it will explore various analytical methods used to verify the authenticity of consumer information, assess the composition of grapes and wine, and discuss the statistical techniques employed to extract valuable insights from the resulting datasets.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Spectroscopy and Chemometric Analyses · Advanced Chemical Sensor Technologies · Analytical Chemistry and Chromatography
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), Biology and Environment Department, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal
Chemistry Research Centre-Vila Real (CQ-VR), Biology and Environment Department, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal
Center for Computational and Stochastic Mathematics (CEMAT), Department of Mathematics, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal
Chemistry Research Centre-Vila Real (CQ-VR), Department of Agronomy, School of Agrarian and Veterinary Sciences, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal
Funding
National Funds by FCT—Portuguese Foundation for Science and Technology · Chemistry Research Centre-Vila Real—CQ-VR · CEMAT/IST-ID-Center for Computational and Stochastic Mathematics
References (100+)
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