Soybean Varieties Glycine max (L) Merr.: Identification of Metabolites by Tandem Mass Spectrometry

Authors

DOI:

https://doi.org/10.24866/2311-2271/2022-4/121-132

Keywords:

Glycine max (L) Merr., soja, HPLC-MS/MS, tandem mass spectrometry, polyphenolic compounds

Abstract

Considerable research suggests that soybean seeds Glycine max (L) Merr. contain significant concentrations of polyphenolic complexes, which are biologically active compounds. The aim of the study is to identify a complete metabolomic composition of extracts of soybean varieties Glycine max (L) Merr. A.K. Seagulls. As a result, the presence of 31 polyphenolic compounds has been revealed, with 13 compounds identified by the authors of the paper for the first time. The data obtained will help to intensify research on the development of new drugs, dietary supplements and various functional products containing targeted extracts of Glycine max (L) Merr. 

Author Biographies

  • Maya P. Razgonova, All-Russian Institute of Plant Genetic Resources. N.I. Vavilov (St. Petersburg, Russia)

    Candidate of Technical Sciences, Director of the Far Eastern Experimental Station. 

  • Elena I. Cherevach, Far Eastern Federal University (Vladivostok, Russia)

    Doctor of Technical Sciences, Associate Professor, Professor of Advanced Engineering School “Institute of Biotechnology, Bioengineering and Food Systems”,

  • Yulia N. Zinchenko, Far Eastern Federal University (Vladivostok, Russia)

    master student, Advanced Engineering School “Institute of Biotechnology, Bioengineering and Food Systems”.

  • Kirill S. Golokhvast, Siberian Federal Scientific Center for Agrobiotechnologies of the Russian Academy of Sciences (Krasnoobsk, Russia)

    Doctor of Biological Sciences, Professor of the RAS, Corresponding Member of RAO, Interim Director.

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Published

31-03-2023

Issue

Vol. 104 No. 4 (2022): The bulletin of the Far Eastern Federal University. Economics and Management

Section

Bioeconomy & Food Systems

How to Cite

Soybean Varieties Glycine max (L) Merr.: Identification of Metabolites by Tandem Mass Spectrometry. (2023). Bulletin of the Far Eastern Federal University. Economics and Management, 104(4), 121-132. https://doi.org/10.24866/2311-2271/2022-4/121-132

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