| Literature DB >> 28706340 |
Soha Talih1,2, Zainab Balhas1,2, Rola Salman1,2, Rachel El-Hage3,2, Nareg Karaoghlanian1,2, Ahmad El-Hellani3,2, Mohamad Baassiri1,2, Ezzat Jaroudi1, Thomas Eissenberg2, Najat Saliba3,2, Alan Shihadeh1,2.
Abstract
Electronic cigarettes (ECIGs) electrically heat and aerosolize a liquid containing propylene glycol (PG), vegetable glycerin (VG), flavorants, water, and nicotine. ECIG effects and proposed methods to regulate them are controversial. One regulatory focal point involves nicotine emissions. We describe a mathematical model that predicts ECIG nicotine emissions. The model computes the vaporization rate of individual species by numerically solving the unsteady species and energy conservation equations. To validate model predictions, yields of nicotine, total particulate matter, PG, and VG were measured while manipulating puff topography, electrical power, and liquid composition across 100 conditions. Nicotine flux, the rate at which nicotine is emitted per unit time, was the primary outcome. Across conditions, the measured and computed nicotine flux were highly correlated (r = 0.85, p<.0001). As predicted, device power, nicotine concentration, PG/VG ratio, and puff duration influenced nicotine flux (p<.05), while water content and puff velocity did not. Additional empirical investigation revealed that PG/VG liquids act as ideal solutions, that liquid vaporization accounts for more than 95% of ECIG aerosol mass emissions, and that as device power increases the aerosol composition shifts towards the less volatile components of the parent liquid. To the extent that ECIG regulations focus on nicotine emissions, mathematical models like this one can be used to predict ECIG nicotine emissions and to test the effects of proposed regulation of factors that influence nicotine flux.Entities:
Year: 2016 PMID: 28706340 PMCID: PMC5502764 DOI: 10.1080/02786826.2016.1257853
Source DB: PubMed Journal: Aerosol Sci Technol ISSN: 0278-6826 Impact factor: 2.908