Isolation and identification of mosquito biting deterrents from the North American mosquito repelling folk remedy plant, Matricaria discoidea DC.
Bibliographic record
Abstract
Matricaria discoidea DC. (Asteraceae) has documented use as an insect repellent by Blackfoot Indians and other indigenous groups of North America. This investigation was conducted to evaluate this practice and systematically identify chemical constituents responsible for any insect repelling effect by utilizing a mosquito (Aedes aegypti (Linnaeus)) biting deterrent bioactivity-directed purification approach. Hydrodistilled oil from dried aerial parts of M. discoidea was the most bioactive crude extract generated and was as. Fractionation of this extract, followed by re-evaluation for mosquito biting deterrence using the K & D (Klun and Debboun) bioassay, produced many active fractions that were subsequently evaluated by spectroscopic techniques and the most active compounds were determined to be α-terpineol, spathulenol, and neryl isovalerate. A & K (Ali and Khan) large cage in vitro evaluation of pure compounds isolated from M. discoidea indicated α-terpineol to be the most active compound providing complete protection at 25 μg/cm2. This is the first report on the mosquito repellency of neryl isovalerate and scientific evidence reported here validates the traditional use of M. discoidea as a biting-insect deterrent.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 source (direct Gemma or distilled Codex), 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".