Identification and Quantification of the Major Fungitoxic Components of the Brazilian Basil (Ocimum basilicum L.) Essential Oil
Bibliographic record
Abstract
<p>Hydrodistillation of Brazilian basil (<em>Ocimum basilicum</em> L.) yielded 0.4% of essential oil (EO), with activity against eight important postharvest deteriorating fungi. The crude EO completely inhibited the radial growth of the fungi at a concentration of 0.1%. Thirty-two components were identified in crude EO by Kováts retention index, mass spectrometry and standards. Preparative TLC-bioautography of the crude EO presented only one band with an antifungal activity greater than that of crude EO with the following chemical composition (%): 1,8-cineole (6.2), linalool (36.3), camphor (9.7), Alpha-terpineol (3.8), methyl chavicol (9.1) and eugenol (34.9). Based on these results, these compounds were considered to be the major fungitoxic components. This is the first study in the literature that presents data obtained simultaneously on the activity of crude basil EO against eight important post-harvest deteriorating fungi, its unequivocal chemical identification and quantification (area %).</p>
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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 | 0.001 | 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 | 0.001 | 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".