Leon Kosmider1, Tory R Spindle2, Michal Gawron3, Andrzej Sobczak4, Maciej Lukasz Goniewicz5. 1. Department of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University and Affiliated with Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, USA; School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Department of General and Analytical Chemistry, Jagiellońska 4, 41-200 Sosnowiec, Poland. Electronic address: lkosmider@vcu.edu. 2. Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, USA. 3. School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Department of General and Analytical Chemistry, Jagiellońska 4, 41-200 Sosnowiec, Poland. 4. School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Department of General and Analytical Chemistry, Jagiellońska 4, 41-200 Sosnowiec, Poland; Institute of Occupational Medicine and Environmental Health, Kościelna 13, 41-200 Sosnowiec, Poland. 5. Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, USA.
Abstract
INTRODUCTION: The power output of e-cigarettes varies considerably, as does the composition of liquids used with these products. Most e-cigarette liquids contain two primary solvents: propylene glycol (PG) and vegetable glycerin (VG). The primary aim of this study was to examine the extent to which PG and VG composition and device power interact with each other to influence e-cigarette nicotine emissions. METHODS: Aerosols were generated using a 2nd generation e-cigarette and an automatic smoking machine. Nicotine was measured in aerosols, via gas chromatography, produced from three solutions containing pure PG, pure VG, or a mixture of both solvents (50:50) across three different power settings (4.3, 6.7, and 9.6 W). RESULTS: At the lowest power setting, nicotine yield increased significantly as more PG was added to the solution. However, as device power was increased, differences in nicotine yield across liquids became less pronounced. At the highest power setting (9.6 W), nicotine yields did not differ across the three liquids examined. CONCLUSIONS: The present study demonstrated that the extent to which e-cigarette liquid PG and VG composition influences nicotine emissions is dependent on device power. Thus, device power may influence e-cigarette nicotine emissions to a greater degree relative to solvent concentrations.
INTRODUCTION: The power output of e-cigarettes varies considerably, as does the composition of liquids used with these products. Most e-cigarette liquids contain two primary solvents: propylene glycol (PG) and vegetable glycerin (VG). The primary aim of this study was to examine the extent to which PG and VG composition and device power interact with each other to influence e-cigarette nicotine emissions. METHODS: Aerosols were generated using a 2nd generation e-cigarette and an automatic smoking machine. Nicotine was measured in aerosols, via gas chromatography, produced from three solutions containing pure PG, pure VG, or a mixture of both solvents (50:50) across three different power settings (4.3, 6.7, and 9.6 W). RESULTS: At the lowest power setting, nicotine yield increased significantly as more PG was added to the solution. However, as device power was increased, differences in nicotine yield across liquids became less pronounced. At the highest power setting (9.6 W), nicotine yields did not differ across the three liquids examined. CONCLUSIONS: The present study demonstrated that the extent to which e-cigarette liquid PG and VG composition influences nicotine emissions is dependent on device power. Thus, device power may influence e-cigarette nicotine emissions to a greater degree relative to solvent concentrations.
Authors: Melissa D Blank; Jennifer Pearson; Caroline O Cobb; Nicholas J Felicione; Marzena M Hiler; Tory R Spindle; Alison Breland Journal: Tob Control Date: 2019-11-04 Impact factor: 7.552
Authors: Di Zhao; Ana Navas-Acien; Vesna Ilievski; Vesna Slavkovich; Pablo Olmedo; Bernat Adria-Mora; Arce Domingo-Relloso; Angela Aherrera; Norman J Kleiman; Ana M Rule; Markus Hilpert Journal: Environ Res Date: 2019-04-22 Impact factor: 6.498
Authors: Sarah F Maloney; Cosima Hoetger; Alyssa K Rudy; Alisha Eversole; Ashlee N Sawyer; Caroline O Cobb; Andrew J Barnes; Alison Breland; Thomas Eissenberg Journal: J Public Health Emerg Date: 2021-06-25