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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Detalles Bibliográficos
Autores principales: Tufariello, Maria, Pati, Sandra, Palombi, Lorenzo, Grieco, Francesco, Losito, Ilario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997410/
https://www.ncbi.nlm.nih.gov/pubmed/35406997
http://dx.doi.org/10.3390/foods11070910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997410/
https://www.ncbi.nlm.nih.gov/pubmed/35406997
http://dx.doi.org/10.3390/foods11070910

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