Study of the chemical content of organic extracts of the Syrian plant Artemisia herba-alba using GC-MS technolog
Bibliographic record
Abstract
Artemisia herba-alba is a perennial herbaceous plant belonging to the Asteraceae family. It is used in folk medicine to treat many nervous and digestive disorders, as well as diabetes. It possesses antioxidant, antifungal and anti-inflammatory properties. The chemical composition of the organic extracts obtained from the leaves of the Syrian Artemisia herba-alba plant was analysed using a Soxhlet extraction device and three solvents with varying degrees of polarity (petroleum ether, chloroform and ethyl acetate). The chemical constituents of the three extracts were determined using GC/MS technology. In the petroleum ether extract (Ah1), 38 compounds were identified, while the chloroform extract (Ah2) contained 39 compounds, and the ethyl acetate extract (Ah3) contained 45 compounds. The most significant compounds in the Ah1 extract were longiverbenone (23.9%), heneicosane (18.2%), 3,3,6-trimethyl-1,5-heptadien-4-one (16.5%), caryophyllene oxide (5.8%), and octacosane (4.6%). In the Ah2 extract, the main constituents were dioctyl hexanedioate (13.2%), (Z,Z) 9,12-octadecadienoyl chloride (7.3%), and (-)-spathulenol (7.1%). The primary compounds in the Ah3 extract were pentanoic acid (9.5%), geranyl isovalerate (9.3%), 2-butyl-1-octanol (7.5%), and 1-heptadecene (6.4%).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".