Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS

Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS

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 un...

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Bibliographic Details
Main Authors: Maria Tufariello, Sandra Pati, Lorenzo Palombi, Francesco Grieco, Ilario Losito
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Foods
Subjects:
wine
HS-SPME-GC-MS
volatile compounds
multivariate statistical analysis
artificial intelligence
Online Access:https://www.mdpi.com/2304-8158/11/7/910

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