Computational modeling method to estimate secondhand exposure potential from exhalations during e-vapor product use under various real-world scenarios.

ABSTRACT: Potential secondhand exposure of exhaled constituents from e-vapor product (EVP) use is a public health concern. We present a computational modeling method to predict air levels of exhaled constituents from EVP use. We measured select constituent levels in exhaled breath from adult e-vapor product users, then used a validated computational model to predict constituent levels under three scenarios (car, office, and restaurant) to estimate likely secondhand exposure to non-users. The model was based on physical/thermodynamic interactions between air, vapor, and particulate phase of the aerosol. Input variables included space setting, ventilation rate, total aerosol amount exhaled, and aerosol composition. Exhaled breath samples were analyzed after the use of four different e-liquids in a car

SUBMITTER: Edmiston JS 

PROVIDER: S-EPMC9522680 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature