Issue |
E3S Web Conf.
Volume 336, 2022
The International Conference on Energy and Green Computing (ICEGC’2021)
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Article Number | 00069 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/202233600069 | |
Published online | 17 January 2022 |
Principal Component and Hierarchical Cluster Analysis of major compounds variation of Moroccan Rosmarinus officinalis essential oil
1 Laboratory of Applied Organic Chemistry, Faculty of Sciences and Technologies, University Sidi Mohammed Ben Abdellah, Fez B P 2202, Morocco
2 Institute of Forensic Sciences of Gendarmerie Royal, B.P 6597, Rabat-Institute, Morocco
3 Higher Institute of Nursing Professions and Health Techniques of Fez, Regional Health Directorate, EL Ghassani Hospital, Fez 30000, Morocco
4 Biotechnology, Environmental Technology and Valorization of Bio-Resources Team, Department of Biology, Faculty of Sciences and Technologies Al-Hoceima, Abdelmalek Essaadi University, Tetouan, Morocco
* Corresponding author: saoussan.annemer@usmba.ac.ma
The main compounds or the chemical composition in general is influenced by different factors such as the harvest period, the origin of the plant and the climatic conditions. The composition of Rosmarinus officinalis essential oils during 9 harvest periods (January 2018 to April 2019) was determined by and gas chromatography coupled with mass spectrometry (GC/MS). The main constituents were 1,8-Cineole (33.33-52.59%), Camphor (7.07-20.09%), α-pinene (11.93-16.22%). Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) revealed two main groups namely First group “winter season” which contains a high amount of Camphor, Second group “summer season” which has a significant amount of 1,8-Cineole and an intermediate group “ which shares the same characterize of the two groups. In conclusion, these results allow us to understand the variation of major compounds according to the seasons for the exploitation of these compounds in different fields.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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