Effect of Geographic Location, Ontogenesis on Essential OilComposition and Spontaneously Emitted Volatile Organic Compounds ofInula viscosa (L.) Greuter. (Astraceae) Grown in Jordan
Bibliographic record
Abstract
The present study aimed at investigating the variation in the chemical composition of emitted volatile organic compounds (VOCs) and essential oils obtained from fresh aerial parts of Inula viscosa (Asteraceae) as affected by growth stage and geographical location zone. VOCs were extracted by solid phase microextraction (SPME) method from whole aerial parts of I. viscosa during the vegetative (spring-August) period, and from fresh leaves, closed pre-flowering buds and fully expanded flowers during the full flowering season (October). The essential oils were extracted by hydrodistillation form fresh organs during the flowering stage. GC/MS analysis of VOCs during the vegetative period revealed sesquiterpene hydrocarbons as main components in the samples collected from the Mediterranean zone (MID-1: 64.72-27.48%, MID-2: 32.09-76.77%). The profile of the samples from the Irano-Turanian zone (IT) was quite different. Myrcenol was the main component in the leaves, pre-flowering buds and fully expanded flowers from all locations (0.61-39.01%). E-nerolidol was the main component in the hydrodistilled oil of all organs from the different locations (73.72-88.66 %). Principle component and cluster analysis revealed that the chemical composition of the essential oils and VOCs belonging to MID-zone were similar and quite different when compared to the composition of the samples belonging to IT-zone. The results indicated the possible use of E-nerolidole as a stable chemotype marker in I. viscosa taxonomy.
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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".