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Exploring the volatile metabolome of conventional and organic walnut oils by solid-phase microextraction and analysis by GC-MS combined with chemometrics.
- Source :
-
Food Chemistry . Nov2021, Vol. 363, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- • Optimization of a HS-SPME-GC-MS methodology to investigate walnut oils' volatile profile. • Discrimination between organic and conventional walnut oils. • Development of a sPLS-DA model with high prediction accuracy. • Establishment of characteristic volatile markers. It is challenging to establish a correlation between the agronomical practices and the volatile profile of high-value agricultural products. In this study, the volatile metabolome of walnut oils from conventional and organic farming type was explored by HS-SPME-GC-MS. The SPME protocol was optimized after evaluating the effects of extraction time, extraction temperature, and sample mass. The optimum parameters involved the extraction of 0.500 g walnut oil at 40 °C within 60 min. Twenty Greek walnut oils produced with conventional and organic farming were analyzed and 41 volatile compounds were identified. The determined compounds were semi-quantified, and further processed with chemometrics. Agglomerative hierarchical clustering (AHC) and principal component analysis (PCA) were used. A robust classification model was developed using sparse partial least squares–discriminant analysis (sPLS-DA) for the discrimination of walnut oils into conventional and organic, establishing volatile markers that could be used to guarantee the type of farming. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03088146
- Volume :
- 363
- Database :
- Academic Search Index
- Journal :
- Food Chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 151735103
- Full Text :
- https://doi.org/10.1016/j.foodchem.2021.130331