Talih Soha, Balhas Zainab, Salman Rola, El-Hage Rachel, Karaoghlanian Nareg, El-Hellani Ahmad, Baassiri Mohamad, Jaroudi Ezzat, Eissenberg Thomas, Saliba Najat, Shihadeh Alan
Mechanical Engineering Department, Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.
Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, Virginia, USA.
Aerosol Sci Technol. 2017;51(1):1-11. doi: 10.1080/02786826.2016.1257853. Epub 2016 Nov 8.
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, <.0001). As predicted, device power, nicotine concentration, PG/VG ratio, and puff duration influenced nicotine flux (<.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.
电子烟通过电加热并使含有丙二醇(PG)、蔬菜甘油(VG)、调味剂、水和尼古丁的液体雾化。电子烟的影响以及对其进行监管的提议方法存在争议。一个监管焦点涉及尼古丁排放。我们描述了一个预测电子烟尼古丁排放的数学模型。该模型通过数值求解非稳态物质和能量守恒方程来计算各个成分的汽化速率。为了验证模型预测,在100种条件下对抽吸形态、电功率和液体成分进行操作时,测量了尼古丁、总颗粒物、PG和VG的产量。尼古丁通量,即单位时间内尼古丁的排放速率,是主要结果。在各种条件下,测量的和计算的尼古丁通量高度相关(r = 0.85,<.0001)。正如预测的那样,设备功率、尼古丁浓度、PG/VG比例和抽吸持续时间会影响尼古丁通量(<.05),而含水量和抽吸速度则不会。进一步的实证研究表明,PG/VG液体表现为理想溶液,液体汽化占电子烟气溶胶质量排放的95%以上,并且随着设备功率的增加,气溶胶成分会向母液中挥发性较低的成分转变。就电子烟法规关注尼古丁排放而言,这样的数学模型可用于预测电子烟尼古丁排放,并测试拟议的对影响尼古丁通量的因素进行监管的效果。