HS-SPME-GC-MS Volatile Profile Characterization of Peach (Prunus persica L. Batsch) Varieties Grown in the Eastern Balkan Peninsula

Dasha Mihaylova; Aneta Popova; Radka Vrancheva; Ivayla Dincheva

doi:10.3390/plants11020166

HS-SPME-GC-MS Volatile Profile Characterization of Peach (Prunus persica L. Batsch) Varieties Grown in the Eastern Balkan Peninsula

Plants (Basel). 2022 Jan 8;11(2):166. doi: 10.3390/plants11020166.

Authors

Dasha Mihaylova¹, Aneta Popova², Radka Vrancheva³, Ivayla Dincheva⁴

Affiliations

¹ Department of Biotechnology, Technological Faculty, University of Food Technologies, 4002 Plovdiv, Bulgaria.
² Department of Catering and Nutrition, Economics Faculty, University of Food Technologies, 4002 Plovdiv, Bulgaria.
³ Department of Analytical Chemistry and Physical Chemistry, Technological Faculty, University of Food Technologies, 4002 Plovdiv, Bulgaria.
⁴ AgroBioInstitute, Agricultural Academy, 1164 Sofia, Bulgaria.

Abstract

The volatile compounds of eight peach varieties (Prunus persica L.)-"Filina", "Gergana", "Ufo-4", "July lady", "Laskava", "Flat Queen", "Evmolpiya", and "Morsiani 90"-growing in Bulgaria were analyzed for the first time. Gas chromatography-mass spectrometry (GC-MS) analysis and the HS-SPME technique revealed the presence of 65 volatile compounds; the main identified components were aldehydes, esters, and fatty acids. According to the provided principal component analysis (PCA) and hierarchical cluster analysis (HCA), the relative quantities of the identified volatile compounds depended on the studied peach variety. The results obtained could be successfully applied for the metabolic chemotaxonomy of peaches.

Keywords: Prunus persica L.; gas chromatography–mass spectrometry (GC–MS); headspace-solid phase micro extraction (HS-SPME); hierarchical cluster analysis (HCA); principal component analysis (PCA); volatile compounds.

Grants and funding

KП-06-H37/23/Bulgarian Science Fund