The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil Samples
In the present study, volatile compound analysis of olive oil samples belonging to ten Greek cultivars was carried out. A total of 167 olive oil samples collected from two consecutive harvest years were analyzed by Head Space-Solid Phase Microextraction-Gas Chromatography/Mass Spectrometry (HS-SPME-...
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2020-11-01
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doaj-d554def2a5694dfaa3391374d77b5b402020-11-25T04:06:16ZengMDPI AGFoods2304-81582020-11-0191672167210.3390/foods9111672The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil SamplesIoanna S. Kosma0Michael G. Kontominas1Anastasia V. Badeka2Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, GreeceLaboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, GreeceLaboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, GreeceIn the present study, volatile compound analysis of olive oil samples belonging to ten Greek cultivars was carried out. A total of 167 olive oil samples collected from two consecutive harvest years were analyzed by Head Space-Solid Phase Microextraction-Gas Chromatography/Mass Spectrometry (HS-SPME-GC/MS). Volatile compound data were combined with chemometric methods (Multivariate Analysis of Variance (MANOVA) and Linear Discriminant Analysis (LDA)) with the aim not only to differentiate olive oils but also to identify characteristic volatile compounds that would enable differentiation of botanical origin (marker compounds). The application of Stepwise LDA (SLDA) effectively reduced the large number of statistically significant volatile compounds involved in the differentiation process, and thus, led to a set of parameters, the majority of which belong to compounds that are highly dependent on variety. In addition, the use of these marker compounds resulted in an increased correct classification rate (85.6%) using the cross-validation method indicating the validity of the model developed despite the use of a large number of dependent variables (cultivars).https://www.mdpi.com/2304-8158/9/11/1672olive oilvolatile compound analysiscultivar differentiationmarkerschemometrics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ioanna S. Kosma Michael G. Kontominas Anastasia V. Badeka |
spellingShingle |
Ioanna S. Kosma Michael G. Kontominas Anastasia V. Badeka The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil Samples Foods olive oil volatile compound analysis cultivar differentiation markers chemometrics |
author_facet |
Ioanna S. Kosma Michael G. Kontominas Anastasia V. Badeka |
author_sort |
Ioanna S. Kosma |
title |
The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil Samples |
title_short |
The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil Samples |
title_full |
The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil Samples |
title_fullStr |
The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil Samples |
title_full_unstemmed |
The Application of Chemometrics to Volatile Compound Analysis for the Recognition of Specific Markers for Cultivar Differentiation of Greek Virgin Olive Oil Samples |
title_sort |
application of chemometrics to volatile compound analysis for the recognition of specific markers for cultivar differentiation of greek virgin olive oil samples |
publisher |
MDPI AG |
series |
Foods |
issn |
2304-8158 |
publishDate |
2020-11-01 |
description |
In the present study, volatile compound analysis of olive oil samples belonging to ten Greek cultivars was carried out. A total of 167 olive oil samples collected from two consecutive harvest years were analyzed by Head Space-Solid Phase Microextraction-Gas Chromatography/Mass Spectrometry (HS-SPME-GC/MS). Volatile compound data were combined with chemometric methods (Multivariate Analysis of Variance (MANOVA) and Linear Discriminant Analysis (LDA)) with the aim not only to differentiate olive oils but also to identify characteristic volatile compounds that would enable differentiation of botanical origin (marker compounds). The application of Stepwise LDA (SLDA) effectively reduced the large number of statistically significant volatile compounds involved in the differentiation process, and thus, led to a set of parameters, the majority of which belong to compounds that are highly dependent on variety. In addition, the use of these marker compounds resulted in an increased correct classification rate (85.6%) using the cross-validation method indicating the validity of the model developed despite the use of a large number of dependent variables (cultivars). |
topic |
olive oil volatile compound analysis cultivar differentiation markers chemometrics |
url |
https://www.mdpi.com/2304-8158/9/11/1672 |
work_keys_str_mv |
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