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Record W2284452824 · doi:10.2478/cttr-2013-0937

Quantitative Analysis of Polycyclic Aromatic Hydrocarbons (PAHs) Cited by the United States Food and Drug Administration

2013· article· en· W2284452824 on OpenAlexaboutno aff
William Guthery, MJ Taylor

Bibliographic record

VenueBeiträge zur Tabakforschung international · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryDetection limitNaphthaleneSidestream smokeChromatographyEnvironmental chemistryGas chromatography–mass spectrometryHealth riskFood and drug administrationMass spectrometrySmokeMathematicsOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The yields of 16 polycyclic aromatic hydrocarbons (PAHs) were determined from cigarette mainstream smoke condensate extracts using Gas Chromatography- Tandem Mass Spectrometry (GC-MS/MS). The method has been validated for ISO and Health Canada Intense (HCI) smoking protocols. Quantifiable levels (ISO means 0.16 to 365 ng/cig; HCI means 0.33 to 1595 ng/cig; n = 30) of 15 PAHs were found in the Kentucky reference cigarette K3R4F. The coefficient of variance (CV) was derived from ten determinations each run in triplicate. The CV range was 8.7% to 24.8% (ISO) and 6.6% to 24.3% (HCI). The limit of detection (LOD) based on empirical precision was ≤ 0.06 ng/cig (ISO) and ≤ 0.20 ng/cig (HCI) for all components except naphthalene (2.89 and 9.62 ng/cig, respectively). The yields from 5 unspecified branded cigarettes (Samples A-E) and 2 other reference cigarettes, K1R5F and the CORESTA monitor CM7, were determined under ISO smoking conditions. The same 15 PAHs were detected as in the K3R4F; however, cigarettes with lower yields of total particulate matter (TPM) were found to contain significantly less PAHs. One component was measured below the limit of quantification (LOQ) in Sample E and 2 components were < LOQ in the K1R5F.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.251
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueBeiträge zur Tabakforschung internationalSame topicToxic Organic Pollutants ImpactFrench-language works237,207