ArticleFoods (Basel, Switzerland)2020
Application of Ultraviolet-Visible Absorption Spectroscopy with Machine Learning Techniques for the Classification of Cretan Wines.
Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- In-Plant Assessment of Peruvian Pisco Distillates Using Infrared Sensing Technologies.Journal of agricultural and food chemistry · 2026Article
- The impact of spectral data pre-processing on the assessment of red wine vintage through spectroscopic methods.Journal of the science of food and agriculture · 2025Article
- Enhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.Journal of food science · 2025Article
- Simultaneous Recognition and Detection of Adenosine Phosphates by Machine Learning Analysis for Surface-Enhanced Raman Scattering Spectral Data.Sensors (Basel, Switzerland) · 2024Article
- Laccase-Mediated Oxidation of Phenolic Compounds from Wine Lees Extract towards the Synthesis of Polymers with Potential Applications in Food Packaging.Biomolecules · 2024Article
- Predicting Bordeaux red wine origins and vintages from raw gas chromatograms.Communications chemistry · 2023Article
- Classification of Food Additives Using UV Spectroscopy and One-Dimensional Convolutional Neural Network.Sensors (Basel, Switzerland) · 2023Article
- Rapid Detection of Benzo[a]pyrene in Extra Virgin Olive Oil Using Fluorescence Spectroscopy.Molecules (Basel, Switzerland) · 2023Article
- Characterizing viral samples using machine learning for Raman and absorption spectroscopy.MicrobiologyOpen · 2022Article
- Combination of Machine Learning and Analytical Correlations for Establishing Quantitative Compliance between the Trolox Equivalent Antioxidant Capacity Values Obtained via Electron Paramagnetic Resonance and Ultraviolet-Visible Spectroscopies.International journal of molecular sciences · 2022Article
- Comparative Evaluation of Different Targeted and Untargeted Analytical Approaches to Assess Greek Extra Virgin Olive Oil Quality and Authentication.Molecules (Basel, Switzerland) · 2022Article
- A Review of Wine Authentication Using Spectroscopic Approaches in Combination with Chemometrics.Molecules (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The present study was aimed at the identification, differentiation and characterization of red and white Cretan wines, which are described with Protected Geographical Indication (PGI), using ultraviolet-visible absorption spectroscopy. Specifically, the grape variety, the wine aging process and the role of barrel/container type were investigated. The combination of spectroscopic results with machine learning-based modelling demonstrated the use of absorption spectroscopy as a facile and low-cost technique in wine analysis. In this study, a clear discrimination among grape varieties was revealed. Moreover, a grouping of samples according to aging period and container type of maturation was accomplished, for the first time.
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Registered trials
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