Constituents and Anthelmintic Activity Evaluation of Albizia Adiantifolia (Schumach) W.F. Wright Essential Oils FromNigeria
Bibliographic record
Abstract
Albizia adiantifolia (Schumach) W.F. Wright (Fabaceae) is a plant used traditionally in treating different health ailments which includes worm infections. The essential oils (EOs) were obtained by hydrodistillation in an all glass Clevenger apparatus, and characterized by gas chromatography (GC) and gas chromatography-mass spectrometry analysis (GC-MS). In vitro petri-dish anthelmintic activity was carried out using adult earthworm, Eudrilus eugeniae. The leaves, stem bark and root bark EOs afforded a total of 40, 26 and 20 constituents representing 90.9%, 94.1% and 90.9% of the total oil fractions respectively. The classes of compounds identified in the leaves, stem bark and root bark are oxygenated monoterpenes (4.1%, 1.7% and 4.0% respectively), sesquiterpene hydrocarbons (39.5%, 67.3% and 42.6% respectively), oxygenated sesquiterpenes (18.7%, 22.3% and 30.1% respectively), non-terpene derivatives (12.1%, 2.6% and 14.2% respectively) and apocarotenoids (16.5% and 0.2% in the leaves and stem-bark). β-caryophyllene (23.0%), E-geranylacetone (7.4%), acorenone (6.4%), viridiflorol (6.4%), α-zingiberene (6.3%) and ar-curcumene (4.6%) were the major constituents in the leaves oil, β-caryophyllene (39.3%), selin-11-en-4-α-ol (10.4%), α-zingiberene (9.6%), ar-curcumene (7.2%), caryophyllene oxide (6.4%) and α-humulene (5.6%) were the major constituents in the stem bark oil, while β-caryophyllene (32.1%), selin-11-en-4-α-ol (13.1%), caryophyllene oxide (8.4%), pentadecanal (6.1%) and α -humulene (4.4%) were the major constituents in the root bark oil. β -caryophyllene dominated the oils. The leaf EO was the most active against E. eugeniae worm. All the oils showed a relatively higher activity compared to Albendazole, in a concentration dependent manner. There was significant difference (p<0.001) in activity.
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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) | 0.001 | 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".