Antifungal Screening of Lavender Essential oils and Essential Oil Constituents on three Post-harvest Fungal Pathogens
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A growing body of literature indicates that many synthetic pesticides have adverse effects on human, animal, and environmental health. As a result, plant-derived natural products are quickly gaining momentum as safer and less ecologically damaging alternatives due to their low toxicity, high biodegradability, and good specificity. Essential oils of Lavandula angustifolia, Lavandula x intermedia cv Grosso, and Lavandida x intermedia cv Provence as well as various mono- and sesquiterpene essential oil constituents were tested in order to assess their antifungal potential on three important agricultural pathogens: Botrytis cinerea, Mucor piriformis, and Penicillium expansum. Fungal susceptibility testing was performed using disk diffusion assays. The majority of essential oil constituents tested did not have a significant effect; however, 3-carene, carvacrol, geraniol, nerol and perillyl alcohol demonstrated significant inhibition at concentrations as low as 1 µ/mL. In vivo testing using strawberry fruit as a model system supported in vitro results and revealed that perillyl alcohol, carvacrol and 3-carene were effective in limiting infection by postharvest pathogens.
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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 | 0.001 | 0.001 |
| 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 it