Estimation of mouth level exposure to smoke constituents of cigarettes with different tar levels using filter analysis

•Mouth level exposure to smoke constituents was estimated using filter analysis.•Calibration curves for 41 out of 47 smoke constituents were generated.•780 smokers were recruited in Japan to estimate MLE to selected smoke constituents.•Most of measured MLE were positively correlated with ISO Tar.•Mo...

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Bibliographic Details
Published in:Regulatory toxicology and pharmacology Vol. 67; no. 3; pp. 486 - 498
Main Authors: Hyodo, T., Minagawa, K., Inoue, T., Fujimoto, J., Minami, N., Bito, R., Mikita, A.
Format: Journal Article
Language:English
Published: Netherlands Elsevier Inc 01-12-2013
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Summary:•Mouth level exposure to smoke constituents was estimated using filter analysis.•Calibration curves for 41 out of 47 smoke constituents were generated.•780 smokers were recruited in Japan to estimate MLE to selected smoke constituents.•Most of measured MLE were positively correlated with ISO Tar.•Most of measured MLE were negatively correlated with HCI yields per mg nicotine. A nicotine part-filter method can be applied to estimate smokers’ mouth level exposure (MLE) to smoke constituents. The objectives of this study were (1) to generate calibration curves for 47 smoke constituents, (2) to estimate MLE to selected smoke constituents using Japanese smokers of commercially available cigarettes covering a wide range of International Organization for Standardization tar yields (1–21mg/cigarette), and (3) to investigate relationships between MLE estimates and various machine-smoking yields. Five cigarette brands were machine-smoked under 7 different smoking regimes and smoke constituents and nicotine content in part-filters were measured. Calibration curves were then generated. Spent cigarette filters were collected from a target of 50 smokers for each of the 15 brands and a total of 780 filters were obtained. Nicotine content in part-filters was then measured and MLE to each smoke constituent was estimated. Strong correlations were identified between nicotine content in part-filters and 41 out of the 47 smoke constituent yields. Estimates of MLE to acetaldehyde, acrolein, 1,3-butadiene, benzene, benzo[a]pyrene, carbon monoxide, and tar showed significant negative correlations with corresponding constituent yields per mg nicotine under the Health Canada Intense smoking regime, whereas significant positive correlations were observed for N-nitrosonornicotine and (4-methylnitrosoamino)-1-(3-pyridyl)-1-butanone.
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content type line 23
ISSN:0273-2300
1096-0295
DOI:10.1016/j.yrtph.2013.09.009