2021
DOI: 10.3390/pr9040662
|View full text |Cite
|
Sign up to set email alerts
|

Quantification of Volatile Compounds in Wines by HS-SPME-GC/MS: Critical Issues and Use of Multivariate Statistics in Method Optimization

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,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
23
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 39 publications
(23 citation statements)
references
References 67 publications
(98 reference statements)
0
23
0
Order By: Relevance
“…As the chemical structure of all the 75 volatile compounds analyzed in the present study were highly diverse, the internal standard cannot be expected to behave the same as all of the analytes. The conversion of the analyte/internal standard response ratio into the analyte concentration can thus be misleading (Pati et al., 2021). According to similar previous studies on truffle volatile analysis, several authors have expressed their results as a chromatographic peak area percentage for each volatile (Choo et al., 2021; Díaz et al., 2002, 2003, 2009).…”
Section: Methodsmentioning
confidence: 99%
“…As the chemical structure of all the 75 volatile compounds analyzed in the present study were highly diverse, the internal standard cannot be expected to behave the same as all of the analytes. The conversion of the analyte/internal standard response ratio into the analyte concentration can thus be misleading (Pati et al., 2021). According to similar previous studies on truffle volatile analysis, several authors have expressed their results as a chromatographic peak area percentage for each volatile (Choo et al., 2021; Díaz et al., 2002, 2003, 2009).…”
Section: Methodsmentioning
confidence: 99%
“…The results obtained were expressed as a percentage of the single compound's area with respect to the total area of the analytes determined to better identify differences in the aromatic profiles of different wines. [15][16][17][18] In order to determine the real contribution of each compound to the final aroma the concentration values were also expressed as Relative Area Over Threshold (RAOT), according to the approach of Zhu et al 19 The concept of RAOT has been used to try to relate instrumental data to sensory perceptions; in fact, this approach considers the direct proportionality existing between the odour intensities of volatile compounds to their concentrations in the headspace and the inverse proportionality to their odour thresholds (ODTs) in air. Assuming the % area determined in GC-MS reflects the headspace composition of volatile compounds, the contribution of volatile compounds to the overall aroma of wine samples can be evaluated by the RAOT as follows (1):…”
Section: Determination Of the Wine Volatile Profilementioning
confidence: 99%
“…Peak areas for the peaks of interest were calculated by the data processing software based on the area of the base peak ion in the mass spectrum recorded for the compound. Relative concentrations were manually calculated and reported as the integrated peak area of the compound divided by the integrated peak area of the IS as described in Pati et al [57].…”
Section: Data Processingmentioning
confidence: 99%