a Well-Mixed Computational Model for Estimating Room air Levels of Selected Constituents from E-Vapor Product Use

Introduction:
This article presents a well-mixed computational model to estimate the indoor levels of constituents from e-vapor product (EVP) use. The model is based on physical and thermodynamic interactions between aerosol, vapor, and air, similar to indoor air models referred to by the Environmental Protection agency. The model is validated using measured indoor air levels of nicotine from two sources: smoking machine-generated aerosol and aerosol exhaled from EVP use.

Key Points:

* The study developed a well-mixed computational model to estimate the indoor levels of constituents from EVP use.
* The model is based on physical and thermodynamic interactions between aerosol, vapor, and air, similar to indoor air models referred to by the Environmental Protection agency.
* The model results agree well with measured indoor air levels of nicotine from two sources: smoking machine-generated aerosol and aerosol exhaled from EVP use.
* Sensitivity analysis indicated that increasing air exchange rate reduces room air level of constituents, as more material is carried away.
* The effect of the amount of aerosol released into the space due to variability in exhalation was also evaluated.
* The model can estimate the room air level of constituents as a function of time, which may be used to assess the level of non-user exposure over time.

Main Message:
The study presents a well-mixed computational model that can estimate the indoor levels of constituents from EVP use. The model is based on physical and thermodynamic interactions between aerosol, vapor, and air, and is validated using measured indoor air levels of nicotine. The model can be a useful tool for assessing the level of non-user exposure to EVP constituents under a variety of conditions, including different indoor spaces, product variations, usage variability, and environmental conditions.

Rostami, ali, Yezdi Pithawalla, Jianmin Liu, Michael Oldham, Karl Wagner, Kimberly Frost-Pineda, and Mohamadi Sarkar. “a Well-Mixed Computational Model for Estimating Room air Levels of Selected Constituents from E-Vapor Product Use.” International Journal of Environmental Research and Public health 13, no. 8 (august 16, 2016): 828. https://doi.org/10.3390/ijerph13080828.