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Author Notes:

Correspondence: dashnor.nebija@uni-pr.edu

Avni Hajdari designed and supervised the experiments, conducted the botanical identification of the plant, analyzed and interpreted data, and cowrote the paper. Behxhet Mustafa designed the experiments, conducted the botanical identification of the plant, and cowrote the paper.

Lirie Hyseni and Ani Bajrami collected the plant material and helped in data analysis. Genista Mustafa collected the plant material and helped in data analysis. Cassandra Leah Quave analyzed and interpreted data and revised the paper. Dashnor Nebija cowrote the paper and made a critical revision. All authors read and approved the final paper.

The authors declare that there are no conflicts of interest regarding the publication of this article.

Subjects:

Research Funding:

Part of this work was supported by the European Union under grant agreement (Grant no. 2014/355-445 IPA CBC Programme Macedonia-Kosovo 2014–2020).

Keywords:

  • Balkan Peninsula
  • Gas Chromatography-Mass Spectrometry
  • Lamiaceae
  • Oils, Volatile
  • Phytochemicals
  • Plant Extracts
  • Plant Oils
  • Plants, Medicinal
  • Tea
  • Volatile Organic Compounds

Phytochemical Study of Eight Medicinal Plants of the Lamiaceae Family Traditionally Used as Tea in the Sharri Mountains Region of the Balkans

Tools:

Journal Title:

The Scientific World Journal

Volume:

Volume 2020

Publisher:

, Pages 4182064-4182064

Type of Work:

Article | Final Publisher PDF

Abstract:

In the present study, eight plant species belonging to Lamiaceae family were identified as ingredients for herbal teas in the region of Sharri Mountains: Thymus serpyllum, Rosmarinus officinalis, Melissa officinalis, Origanum vulgare, Mentha longifolia, Ocimum basilicum, Teucrium chamaedrys, and Sideritis scardica, respectively. Chemical composition of essential oils obtained from these species was analyzed using GC-MS and GC-FID with the aim of examining their volatile compound profiles, responsible for their respective flavors and fragrance. Principal Component Analysis (PCA) was performed with the aim of grouping plant species under study on the basis of their chemical composition. Experimental data revealed the typical volatile constituent pattern for the Lamiaceae family. Monoterpenes and sesquiterpenes, responsible for flavor and medicinal use of these plants, were the most abundant groups of the volatile constituents. PCA data analysis resulted in the grouping of these analyzed species in four principal clusters.

Copyright information:

© 2020 Avni Hajdari et al.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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