Quantification of nicotine in commercial brand cigarettes
Bibliographic record
Abstract
The main objective of this experiment is to determine the amount of nicotine in commercial brand cigarettes by means of a nonaqueous acid-base titration. A simple glass device simulating a smoker is proposed, which allows the determination of the volatilized, filter retained, and inhaled portions. Students will readily see that the amount of nicotine/cigarette stated on the label (∼0.5-1.0 mg) refers indeed to the inhaled portion only, rather than to the total amount/cigarette (usually more than 10 mg). Even so, values for inhaled nicotine may be significantly higher than those reported for several brands. Students will also be able to make a critical evaluation of the true content of nicotine in the inhaled portion and confront it with the reported value for a given brand. In addition, the theoretical approach, supported by HPLC data, provides an excellent experience on nonaqueous acid-base volumetric analysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".