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Updated: Sep 27, 2025

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Published on: October 5, 2016
Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS
Maria Tufariello1, Sandra Pati2, Lorenzo Palombi3
1CNR-Institute of Sciences of Food Production (ISPA), Via Prov. le, Lecce-Monteroni, 73100 Lecce, Italy.
Abstract:
This review takes a snapshot of the main multivariate statistical techniques and methods used to process data on the concentrations of wine volatile molecules extracted by means of solid phase micro-extraction and analyzed using GC-MS. Hypothesis test, exploratory analysis, regression models, and unsupervised and supervised pattern recognition methods are illustrated and discussed. Several applications in the wine volatolomic sector are described to highlight different interactions among the various matrix components and volatiles. In addition, the use of Artificial Intelligence-based methods is discussed as an innovative class of methods for validating wine varietal authenticity and geographical traceability.
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