Surroundings Impact on Terpene Stability in Terpene-Infused Pre-Rolled Cones: The Role of Temperature, Humidity, and Light Exposure
Bibliographic record
Abstract
Infusion of terpenes into the pre-rolled cone can enhance aroma and flavor and give the consumer a relaxing feeling.The high volatility of terpenes is a significant challenge in maintaining their content before reaching consumers.The terpene content can be lost due to evaporation during the product storage due to various environmental factors -This study demonstrates the extent to which temperature (at 30-50°C), light intensity (at 200-1500 lux), and room humidity affect terpene evaporation rate.The results of the study showed that light exposure had the most significant effect on the rate of terpene evaporation, followed by temperature.Light exposure at 1200 lux for 24 h leads to 99% terpenes loss.Terpene degradation significantly increases with rising temperatures and reaches 92.5% at 50°C.Contrariwise, higher humidity levels were found to reduce the degradation rates.These findings provide valuable insights for industries to develop more stable and high-quality terpene-containing products.
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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 | 0.001 | 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".