Metabolite profiling by means of GC-MS combined with principal component analyses of natural populations of Nectaroscordum siculum ssp. bulgaricum (Janka) Stearn

Author:

Vrancheva Radka Z.1,Dincheva Ivayla N.2,Aneva Ina Y.3,Pavlov Atanas I.14

Affiliation:

1. Department of Analytical Chemistry and Physical chemistry , University of Food Technologies-Plovdiv , 26 Maritza blvd., 4002 , Plovdiv , Bulgaria

2. AgroBioInstitute, Agricultural Academy , 8 Dragan Tsankov blvd, 1164 , Sofia , Bulgaria

3. Institute of Biodiversity and Ecosystem Research at the Bulgarian Academy of Science , 1113 , Sofia , Bulgaria

4. Laboratory of Applied Biotechnologies, The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences , 139 Ruski blvd, 4000 , Plovdiv , Bulgaria

Abstract

Abstract Nectaroscordum siculum ssp. bulgaricum (Janka) Stearn (Allium siculum subsp. dioscoridis (Sm.) K. Richt.) is a traditional culinary spice from South-East Europe. Studies of N. siculum have focused mainly on the botanical and taxonomic characteristics of this species and there is no data available in the scientific literature about its metabolite profile. Thus, the aim of the current study was metabolite profiling of four wild populations of N. siculum grown in Bulgaria by gas chromatography coupled to mass spectrometry (GC-MS) and subsequent principal component analysis (PCA) of the data obtained. The identified primary metabolites (carbohydrates, amino acids, organic acids and lipids) are initial compounds for the biosynthesis of different plant secondary metabolites, such as polyphenols and flavour compounds with valuable biological activities for humans. The health benefits of the phenolic acids identified in this study have been a prerequisite for the implementation of N. siculum in different food systems in order to increase their quality and biological value.

Funder

Bulgarian Science Fund, Bulgarian Ministry of Education and Science

Publisher

Walter de Gruyter GmbH

Subject

General Biochemistry, Genetics and Molecular Biology

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