Chemical structure and antifungal activity of mint essential oil components

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Published: Sep 18, 2020
DOI: https://doi.org/10.2298/JSC191210017P
Keywords:
QSRR ANN genetic algorithm antimicrobial potential

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Dragana V. Plavšić
Faculty of Technology, University of Novi Sad, Bulevar cara Lazara 1, Novi Sad, 21000, Serbia, Institute of Food Technology, University of Novi Sad, Bulevar cara Lazara 1, Novi Sad, 21000
Marija M. Škrinjar
Faculty of Technology, University of Novi Sad, Bulevar cara Lazara 1, Novi Sad, 21000
Đorđe B. Psodorov
Faculty of Science, Department of Geography, Tourism and Hotel Management, University of Novi Sad, Trg Dositeja Obradovića 3, 21000 Novi Sad
Lato L. Pezo
Engineering Department, Institute of General and Physical Chemistry, University of Belgrade, Studentski Trg 12-16, 11000 Belgrade
Ivan Lj. Milovanović
Institute of Food Technology, University of Novi Sad, Bulevar cara Lazara 1, Novi Sad, 21000
Dragan Đ. Psodorov
Colledge of Management and Business Communications, Mitropolita Stratimirovića 110, 21205 Sremski Karlovci, Serbia
Predrag S. Kojić
Faculty of Technology, University of Novi Sad, Bulevar cara Lazara 1, Novi Sad, 21000, Serbia
Sunčica D. Kocić-Tanackov
Faculty of Technology, University of Novi Sad, Bulevar cara Lazara 1, Novi Sad, 21000, Serbia

Abstract

The objective of this research was to determine chemical composit­ion and to evaluate the antifungal activity of essential oil of Mentha piperita. By the application of GC/MS analysis of essential mint oil, 27 components were identified. The major components were menthol (39.9 %), menton (23.51 %), menthyl acetate (7.29 %), 1.8-cineol (5.96 %), isomenton (5.24 %), iso­menthol (3.17 %), trans-caryophyllene (2.88 %), limonene (2.14 %), pule­gon (1.38 %), beta-pinene (1.14 %) and piperiton (1.03 %). The quanti­ta­ti­ve struc­ture–retention relationship (QSRR) was employed to predict the retention time (RT) of Mentha piperita essential oil compounds obtained in GC/MS analysis, using twelve molecular descriptors selected by genetic algorithm. The selected descriptors were used, as inputs of an artificial neural network, to build an RT predictive QSRR model. The coefficient of determination was 0.983, during training cycle, indicating that this model could be used for prediction of RT values for essential oil compounds in Mentha piperita essential oil extracts. Essential oil of Mentha piperita showed antifungal activity on all tested iso­lates in the minimal inhibitory concentration range of 0.2–1.7 µl/ml and a mini­mal fungicidal concentration (MFC) range of 1.7–454.5 µl/ml. The most powerful antifungal activity of mint was observed in C. cladosporioides of MFC value 1.7 µl/ml. P. aurantiogriseum showed the lowest sensitivity of MFC value 454.5 µl/ml.

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How to Cite
[1]
D. V. Plavšić, “Chemical structure and antifungal activity of mint essential oil components”, J. Serb. Chem. Soc., vol. 85, no. 9, pp. 1149–1161, Sep. 2020.
Issue
Vol. 85 No. 9 (2020)
Section
Biochemistry & Biotechnology

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