Measurement of Nicotine, Tobacco-Specific Nitrosamines, and Additives in the Filler and Gas from Japanese Brand Snuff
Bibliographic record
Abstract
OBJECTIVE: The World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) reported that understanding the use and impact of smokeless tobacco (SLT) products is complicated by product diversity. Many different SLT products with different characteristics are used worldwide. ZERO STYLE STIX(TM) (sold by Japan Tobacco Inc.) is a brand of snuff, a type of smokeless tobacco. Our objective was to determine the constituents of the gas from SLT and analyze the ingredients in tobacco fillers. METHODS: ZERO STYLE STIX smokeless tobacco was released in the Japanese market in 2010. Nicotine, menthol, and tobacco-specific nitrosamines in the smokeless tobacco fillers were determined by gas chromatography-mass spectrometry (GC/MS) and liquid chromatography-tandem mass spectrometry (LC/MS/MS). The gaseous compounds were collected by a smoking machine using two smoking protocols, i.e., the ISO and Health Canada Intense methods. Nicotine and menthol in the gas were determined by GC/MS. RESULTS: Nicotine, menthol, and the total tobacco-specific nitrosamines were detected in the tobacco fillers. The level of menthol in the snuff was more than ten times that of nicotine. The determined levels of the two components of the gas from the snuff were higher when using the Health Canada Intense protocol than when using the ISO protocol. In addition, flavors other than menthol were emitted from the smokeless tobacco. CONCLUSION: The new type of snuff introduced in the Japanese market in 2010 contained added flavors, and was attractive smokeless tobacco. Flavors in tobacco products need to regulate on the basis of FCTC 9 and 10 in JAPAN.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".