a distributed computational model for estimating room air level of constituents due to aerosol emission from e-vapor product use

Introduction:
This text presents a distributed computational model for estimating the room air level of constituents due to aerosol emission from electronic vapor product (EVP) use. The model uses computational fluid dynamics and thermodynamics principles to allow for aerosol dispersion in an indoor space and includes evaporation and condensation of constituents in a multi-compound aerosol mixture. The model can estimate the spatial and temporal variations of the concentration of individual constituents present in the emitted aerosol in vapor and particulate phases separately. The authors compare the model's results with published experimental data and perform a sensitivity analysis to evaluate the impact of various parameters on the air level of emitted constituents.

Key Points:

* The model is designed to estimate the room air level of constituents due to aerosol emission from EVP use.
* The model uses computational fluid dynamics and thermodynamics principles to allow for aerosol dispersion in an indoor space.
* The model includes evaporation and condensation of constituents in a multi-compound aerosol mixture.
* The model can estimate the spatial and temporal variations of the concentration of individual constituents present in the emitted aerosol in vapor and particulate phases separately.
* The model's results are compared with published experimental data.
* a sensitivity analysis is performed to evaluate the impact of various parameters on the air level of emitted constituents.
* The model can be used to estimate the level of second-hand exposure in a confined space where EVPs are used.

Main Message:
The distributed computational model presented in this text is a valuable tool for estimating the room air level of constituents due to aerosol emission from EVP use. The model's ability to account for aerosol dispersion, evaporation, and condensation of constituents in a multi-compound aerosol mixture, as well as its capacity to estimate the spatial and temporal variations of individual constituents, makes it a significant improvement over well-mixed models. The model's comparison with published experimental data and sensitivity analysis demonstrate its accuracy and reliability. Overall, the model can be used to estimate the level of second-hand exposure in a confined space where EVPs are used, providing valuable information for regulatory decision-making.

Rostami, ali a., Samuel agyemang, and Yezdi B. Pithawalla. “a Distributed Computational Model for Estimating Room air Level of Constituents Due to aerosol Emission from E-Vapor Product Use.” Food and Chemical Toxicology 116 (June 2018): 114–28. https://doi.org/10.1016/j.fct.2018.04.020.