Kinetic studies of the rich interaction of cannabinoids with oxygen-centered radicals and excited carbonyl compounds
Bibliographic record
Abstract
Laser flash photolysis techniques have been employed to measure absolute rate constants and transient spectra for reactions of alkoxyl radicals and ketone triplets with several cannabinoids, including tetrahydrocannabinol (THC) and cannabidiol (CBD) that show rich free radical chemistry as hydrogen atom donors towards alkoxyl radicals. Consistent with their proposed antioxidant activity, the reactive centres in these molecules are the phenoxyl groups. While these molecules also have allylic hydrogens, these seem to play a minor role in their free radical reactions. With excited carbonyls, hydrogen transfer competes with charge-transfer quenching which plays an important role with both benzophenone and xanthone triplets. In the case of THC, charge transfer interactions with carbonyl triplets, rather than hydrogen transfer, is the dominant reaction path. Tests with commercial cannabinoid oil compositions show kinetic and spectral results entirely consistent with those obtained with pure samples, thus suggesting that the hydrogen donor properties and antioxidant activity of cannabinoids is retained in these commercial formulations. • Cannabinoids react very rapidly with oxyl radicals, consistent with antioxidant properties • Cannabinoid interaction with excited carbonyls reveals a mixture of hydrogen transfer from phenolic groups along with charge transfer quenching • Reaction at allylic centers is minor, as the chemistry is dominated by phenolic reactivity
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".