Bryan A Hearn1, Yan S Ding1, Clifford H Watson1, Tricia L Johnson1, Getie Zewdie1, Jeannie H Jeong-Im1, Matthew J Walters1, Matthew R Holman1, C George Rochester1. 1. Bryan A. Hearn, Research Chemist, National Center for Environmental Health, US Centers for Disease Control and Prevention, Atlanta, GA. Yan S. Ding, Health Scientist, National Center for Environmental Health, US Centers for Disease Control and Prevention, Atlanta, GA. Clifford H. Watson, Lead Research Chemist, National Center for Environmental Health, US Centers for Disease Control and Prevention, Atlanta, GA. Tricia L. Johnson, Chemist, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD. Getie Zewdie, Mathematical Statistician, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD. Jeannie H. Jeong-Im, Review Chemist, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD. Matthew J. Walters, Deputy Division Director, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD. Matthew R. Holman, Director, Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD. C. George Rochester, Chief Statistician, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD.
Abstract
OBJECTIVES: Correlations are made between mainstream cigarette smoke deliveries of individual PAHs over multiple years. Average overall PAH deliveries in mainstream cigarette smoke by study year, mentholation, ring size, and manufacturer are compared. METHODS: Mainstream smoke deliveries were determined by GC/MS for 14 polycyclic aromatic hydrocarbons (PAHs) from selected cigarettes on the US market in 2002, 2004, 2007, and 2011. The mainstream smoke PAH emissions were measured under international standardization organization (ISO) smoking conditions. Pearson product-moment correlation was used to examine the linear relationship among the PAHs over multiple years. RESULTS: A number of the PAH analytes were statistically highly correlated with each other. The overall average for mainstream smoke deliveries of PAHs did not change significantly between study years. Similar levels in average PAH deliveries were seen for mentholated and non-mentholated cigarettes. CONCLUSIONS: The strong correlations between PAH compounds over multiple years show that a limited set of PAHs can predict deliveries of others with confidence over multiple years. A more limited panel of analytes may be considered when designing studies involving PAH measurements in mainstream smoke.
OBJECTIVES: Correlations are made between mainstream cigarette smoke deliveries of individual PAHs over multiple years. Average overall PAH deliveries in mainstream cigarette smoke by study year, mentholation, ring size, and manufacturer are compared. METHODS: Mainstream smoke deliveries were determined by GC/MS for 14 polycyclic aromatic hydrocarbons (PAHs) from selected cigarettes on the US market in 2002, 2004, 2007, and 2011. The mainstream smoke PAH emissions were measured under international standardization organization (ISO) smoking conditions. Pearson product-moment correlation was used to examine the linear relationship among the PAHs over multiple years. RESULTS: A number of the PAH analytes were statistically highly correlated with each other. The overall average for mainstream smoke deliveries of PAHs did not change significantly between study years. Similar levels in average PAH deliveries were seen for mentholated and non-mentholated cigarettes. CONCLUSIONS: The strong correlations between PAH compounds over multiple years show that a limited set of PAHs can predict deliveries of others with confidence over multiple years. A more limited panel of analytes may be considered when designing studies involving PAH measurements in mainstream smoke.
Authors: An T Vu; Kenneth M Taylor; Matthew R Holman; Yan S Ding; Bryan Hearn; Clifford H Watson Journal: Chem Res Toxicol Date: 2015-07-30 Impact factor: 3.739
Authors: Yan S Ding; Xizheng J Yan; Ram B Jain; Eugene Lopp; Ameer Tavakoli; Gregory M Polzin; Stephen B Stanfill; David L Ashley; Clifford H Watson Journal: Environ Sci Technol Date: 2006-02-15 Impact factor: 9.028
Authors: Yan S Ding; Jenna S Trommel; Xizheng J Yan; David Ashley; Clifford H Watson Journal: Environ Sci Technol Date: 2005-01-15 Impact factor: 9.028