Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization
The aim of this review is to explore and discuss the two main aspects related to a HeadSpace Solid Phase Micro-Extraction Gas-Chromatography/Mass-Spectrometry (HS-SPME-GC/MS) quantitative analysis of volatile compounds in wines, both being fundamental to obtain reliable data. In the first section, r...
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doaj-2a677478878d4786a78c60859494b9882021-04-09T23:05:03ZengMDPI AGProcesses2227-97172021-04-01966266210.3390/pr9040662Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method OptimizationSandra Pati0Maria Tufariello1Pasquale Crupi2Antonio Coletta3Francesco Grieco4Ilario Losito5Department of Agricultural, Food and Environmental Sciences (SAFE), University of Foggia, Via Napoli 25, 71100 Foggia, ItalyCNR–Institute of Sciences of Food Production (ISPA), via Prov. le, Lecce-Monteroni, 73100 Lecce, ItalyCREA-VE, Council for Agricultural Research and Economics–Research Centre for Viticulture and Enology, Via Casamassima, 148, 70010 Turi, ItalyCREA-VE, Council for Agricultural Research and Economics–Research Centre for Viticulture and Enology, Via Casamassima, 148, 70010 Turi, ItalyCNR–Institute of Sciences of Food Production (ISPA), via Prov. le, Lecce-Monteroni, 73100 Lecce, ItalyDepartment of Chemistry and SMART Inter-Department Research Center, University of Bari “Aldo Moro”, via E. Orabona 4, 70126 Bari, ItalyThe aim of this review is to explore and discuss the two main aspects related to a HeadSpace Solid Phase Micro-Extraction Gas-Chromatography/Mass-Spectrometry (HS-SPME-GC/MS) quantitative analysis of volatile compounds in wines, both being fundamental to obtain reliable data. In the first section, recent advances in the use of multivariate optimization approaches during the method development step are described with a special focus on factorial designs and response surface methodologies. In the second section, critical aspects related to quantification methods are discussed. Indeed, matrix effects induced by the complexity of the volatile profile and of the non-volatile matrix of wines, potentially differing between diverse wines in a remarkable extent, often require severe assumptions if a reliable quantification is desired. Several approaches offering different levels of data reliability including internal standards, model wine calibration, a stable isotope dilution analysis, matrix-matched calibration and standard addition methods are reported in the literature and are discussed in depth here.https://www.mdpi.com/2227-9717/9/4/662wineHS-SPME-GC/MSmultivariate statistical analysiscalibration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sandra Pati Maria Tufariello Pasquale Crupi Antonio Coletta Francesco Grieco Ilario Losito |
spellingShingle |
Sandra Pati Maria Tufariello Pasquale Crupi Antonio Coletta Francesco Grieco Ilario Losito Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization Processes wine HS-SPME-GC/MS multivariate statistical analysis calibration |
author_facet |
Sandra Pati Maria Tufariello Pasquale Crupi Antonio Coletta Francesco Grieco Ilario Losito |
author_sort |
Sandra Pati |
title |
Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization |
title_short |
Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization |
title_full |
Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization |
title_fullStr |
Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization |
title_full_unstemmed |
Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization |
title_sort |
quantification of volatile compounds in wines by hs-spme-gc/ms: critical issues and use of multivariate statistics in method optimization |
publisher |
MDPI AG |
series |
Processes |
issn |
2227-9717 |
publishDate |
2021-04-01 |
description |
The aim of this review is to explore and discuss the two main aspects related to a HeadSpace Solid Phase Micro-Extraction Gas-Chromatography/Mass-Spectrometry (HS-SPME-GC/MS) quantitative analysis of volatile compounds in wines, both being fundamental to obtain reliable data. In the first section, recent advances in the use of multivariate optimization approaches during the method development step are described with a special focus on factorial designs and response surface methodologies. In the second section, critical aspects related to quantification methods are discussed. Indeed, matrix effects induced by the complexity of the volatile profile and of the non-volatile matrix of wines, potentially differing between diverse wines in a remarkable extent, often require severe assumptions if a reliable quantification is desired. Several approaches offering different levels of data reliability including internal standards, model wine calibration, a stable isotope dilution analysis, matrix-matched calibration and standard addition methods are reported in the literature and are discussed in depth here. |
topic |
wine HS-SPME-GC/MS multivariate statistical analysis calibration |
url |
https://www.mdpi.com/2227-9717/9/4/662 |
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