LAPSE:2023.6054v1
Published Article

LAPSE:2023.6054v1
Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization
February 23, 2023
Abstract
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.
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.
Record ID
Keywords
calibration, HS-SPME-GC/MS, multivariate statistical analysis, wine
Suggested Citation
Pati S, Tufariello M, Crupi P, Coletta A, Grieco F, Losito I. Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization. (2023). LAPSE:2023.6054v1
Author Affiliations
Pati S: Department of Agricultural, Food and Environmental Sciences (SAFE), University of Foggia, Via Napoli 25, 71100 Foggia, Italy
Tufariello M: CNR−Institute of Sciences of Food Production (ISPA), Via Prov. le, Lecce-Monteroni, 73100 Lecce, Italy [ORCID]
Crupi P: CREA-VE, Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Via Casamassima 148, 70010 Turi (BA), Italy; Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, P.zza Giulio Cesare 11, 70124
Coletta A: CREA-VE, Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Via Casamassima 148, 70010 Turi (BA), Italy
Grieco F: CNR−Institute of Sciences of Food Production (ISPA), Via Prov. le, Lecce-Monteroni, 73100 Lecce, Italy [ORCID]
Losito I: Department of Chemistry and SMART Inter-Department Research Center, University of Bari “Aldo Moro”, Via E. Orabona 4, 70126 Bari, Italy [ORCID]
Tufariello M: CNR−Institute of Sciences of Food Production (ISPA), Via Prov. le, Lecce-Monteroni, 73100 Lecce, Italy [ORCID]
Crupi P: CREA-VE, Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Via Casamassima 148, 70010 Turi (BA), Italy; Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, P.zza Giulio Cesare 11, 70124
Coletta A: CREA-VE, Council for Agricultural Research and Economics, Research Centre for Viticulture and Enology, Via Casamassima 148, 70010 Turi (BA), Italy
Grieco F: CNR−Institute of Sciences of Food Production (ISPA), Via Prov. le, Lecce-Monteroni, 73100 Lecce, Italy [ORCID]
Losito I: Department of Chemistry and SMART Inter-Department Research Center, University of Bari “Aldo Moro”, Via E. Orabona 4, 70126 Bari, Italy [ORCID]
Journal Name
Processes
Volume
9
Issue
4
First Page
662
Year
2021
Publication Date
2021-04-09
ISSN
2227-9717
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Original Submission
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PII: pr9040662, Publication Type: Review
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LAPSE:2023.6054v1
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https://doi.org/10.3390/pr9040662
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Feb 23, 2023
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