Principal Investigator(s): Alan Shihadeh
Funding Mechanism: National Institutes of Health – TCORS Grant
ID number: 2 U54 DA036105-06
Award Date: 8/28/18
Institution: American University of Beirut
The goal of this project is to examine how e-cigarette toxicant emissions are influenced by several potential regulatory actions. This project’s three study aims will use established aerosol research and analytical chemistry methods to evaluate how three potential regulatory actions -- (1) limits on e-cigarette nicotine concentration, (2) constraints on e-cigarette nicotine flux, and (3) reduction in e-cigarette flavor availability – might influence e-cigarette emissions. For Aim 1, researchers will use our previously published mathematical model that predicts e-cigarette nicotine flux to explore conditions under which e-cigarette liquids containing <20 mg/ml nicotine might exceed tobacco cigarette nicotine yield, and then measure actual nicotine and non-nicotine toxicant yields for these conditions. For Aim 2, researchers will manipulate nicotine flux and then examine how flux manipulation influences the toxicity of the resulting e-cigarette aerosols. For Aim 3, researchers will explore the non-nicotine toxicant emissions produced by do-it-yourself e-cigarette liquids. This project will provide new data regarding the role of nicotine concentration, flux, and liquid flavor availability on e-cigarette toxicity, while informing predictions regarding the consequences of potential regulatory action.
VCU TCORS: Center for the Study of Tobacco Products Related Resources
- VCU TCORS: Center for the Study of Tobacco Products
- VCU TCORS Project 2: Using User Behavior Data Collected in the Clinical Lab to Test Hypotheses about Advanced-generation ECIGs and Generate Population-level Predictions Regarding Potential Regulatory Action
- VCU TCORS Project 3: Using Abuse Liability Data to Test Hypotheses about Advanced-Generation ECIGs and Generate Population-level Predictions Regarding Potential Regulatory Action
- VCU TCORS Project 4: Using a Prospective Cohort Survey to Test Population-level Predictions Generated by Projects 1-3
- The original scientific abstract and other project information can be found on the NIH website.