Identification of Bioactive Ingredients of Traditional Medicinal Plants Psiadia arabica Jaub. Tamarix articulata, Terminalia arjuna and Rhazya stricta by GC-MS in Saudi Arabia
Bibliographic record
Abstract
Pharmacognosy Research,2024,16,3,570-573.DOI:10.5530/pres.16.3.67Published:June 2024Type:Original ArticleAuthors:Taha A. Kumosani, Abeer Alnefayee, Elie Barbour, Mohammed Qari, Tarek Ahmed, and Said Salama Moselh Author(s) affiliations:Taha A. Kumosani1,2,3, Abeer Alnefayee1, Elie Barbour2,4, Mohammed Qari5, Tarek Ahmed6,7, Said Salama Moselhy8,* 1Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, SAUDI ARABIA. 2Experimental Biochemistry Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, SAUDI ARABIA. 3Production of Bio-products for Industrial Application Research Group, King Abdulaziz University, Jeddah, SAUDI ARABIA. 4Director of R and D Department, Opticon Hygiene Consulting, Oechsli, 78807, Zurich, SWITZERLAND. 5Department of Hematology, Faculty of Medicine, King Abdulaziz University, Jeddah, SAUDI ARABIA. 6Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, King Abdulaziz University, Jeddah, SAUDI ARABIA. 7Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Al-Azhar University, Cairo, EGYPT. 8Department of Biochemistry, Faculty of Science, Ain Shams University, Cairo, EGYPT. Abstract:Objectives: This study identified the main bioactive constituents extracted from a mixture containing four plant extracts. Four Saudi Traditional Medicinal plant extracts containing Psiadia arabica Jaub, Tamarix articulata, Terminalia arjuna and Rhazya stricta were identified using GC-Mass. Materials and Methods: The samples Psiadia arabica Jaub, Tamarix articulata, Terminalia arjuna and Rhazya stricta were collected from various regions of Saudi Arabia. The air-dried parts of each plant were powdered and soaked in methanol for 24 hr, except Psiadia arabica Jaub in chloroform. After that, it was obtaining the concentration plant extract through a rotary evaporator. The mixture of plant extracts was analyzed by GC-MS spectrometry. Results: The most abundant compounds identified including heneicosane (7.3%), tetradecane 4,11-dimethyl- (7.11%), Phytol (1.5%), dodecane, 2,6,10-trimethyl- (1.9%) and hexadecane (1.1%), while the lowest concentrations were observed for 10-methylnonadecane, n-hexadecane, tridecane, 2-methyl-, Naphthalene, 1,2,4a,5,6,8a-hexahydro-4,7-dimethyl-1-(1-methylethyl)- and Dodecane, 2,6,11-trimethyl-. One of the main constituents noticed in the combination of four plants was heneicosane, which exhibits a strong antimicrobial effect. In addition, phytol showed multiple effects, including anti-inflammatory, antimicrobial, ant nociceptive, anxiolytic, metabolism-modulating and immune-modulating. Conclusion: These functional molecules identified are known to have different biological activities as antioxidant, antimicrobial, anti-proliferative and antidiabetic. Further studies needed to investigate the mechanism of action through signaling pathway in vivo and in vitro study. Keywords:Bioactive ingredients, GC-MS Analysis, Psiadia arabica Jaub, Rhazya stricta, Saudi Arabia, Tamarix articulata, Terminalia arjuna, Traditional medicinal plantsView:PDF (146.96 KB)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".