Ozonolysis Lifetime of Tetrahydrocannabinol in Thirdhand Cannabis Smoke
Bibliographic record
Abstract
Thirdhand smoke (THS) describes the persistent contamination on indoor surfaces following smoking. Cannabis THS is a chemically distinct form of THS which remains poorly characterized, relative to tobacco. Understanding its fate is necessary to mitigate exposure to cannabis smoke components and potentially harmful transformation products. In this work, the heterogeneous reaction of surface-bound Δ 9 -tetrahydrocannabinol (THC), a component of cannabis smoke, with ozone was examined. Cannabis smoke deposits were collected inside a Teflon chamber on glass, cotton, and tile surfaces. Samples were exposed to high (100 ppb) and realistic indoor ozone concentrations (20 ppb) inside a flow tube and to low ozone levels (2 to 29 ppb) present in a genuine indoor environment. Chemical transformations were monitored by liquid chromatography-tandem mass spectrometry (LC-MS/MS), with epoxide and dicarbonyl products detected. Rapid initial loss of THC was observed on all surfaces, but a small fraction (5%–10%) persisted for extended time scales. A short loss lifetime (a few hours) was observed for THC deposited on glass and tile under typical indoor ozone exposures, leading to almost complete loss at longer times. THC decay on cotton was approximately five times longer than on glass, with up to 10% of THC remaining after 1 week of exposure.
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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 | 0.000 | 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) | 0.002 | 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".