Literature DB >> 32159877

A numerical investigation of the potential effects of e-cigarette smoking on local tissue dosimetry and the deterioration of indoor air quality.

Kazuki Kuga1, Kazuhide Ito2, Wenhao Chen3, Ping Wang3, Kazukiyo Kumagai3.   

Abstract

Electronic (e)-cigarette smoking is considered to be less harmful than traditional tobacco smoking because of the lack of a combustion process. However, e-cigarettes have the potential to release harmful chemicals depending on the constituents of the vapor. To date, there has been significant evidence on the adverse health effects of e-cigarette usage. However, what is less known are the impacts of the chemicals contained in exhaled air from an e-cigarette smoker on indoor air quality, the second-hand passive smoking of residents, and the toxicity of the exhaled air. In this study, we develop a comprehensive numerical model and computer-simulated person to investigate the potential effects of e-cigarette smoking on local tissue dosimetry and the deterioration of indoor air quality. We also conducted demonstrative numerical analyses for first-hand and second-hand e-cigarette smoking in an indoor environment. To investigate local tissue dosimetry, we used newly developed physiologically based pharmacokinetic/toxicokinetic models that reproduce inhalation exposure by way of the respiratory tract and dermal exposure through the human skin surface. These models were integrated into the computer-simulated person. Our numerical simulation results quantitatively demonstrated the potential impacts of e-cigarette smoking in enclosed spaces on indoor air quality.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  computational fluid dynamics; computer-simulated person; dermal exposure; e-cigarette smoking; inhalation exposure; physiologically based pharmacokinetic/toxicokinetic model

Year:  2020        PMID: 32159877     DOI: 10.1111/ina.12666

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  4 in total

1.  Secondary indoor air pollution and passive smoking associated with cannabis smoking using electric cigarette device-demonstrative in silico study.

Authors:  Kazuki Kuga; Kazuhide Ito; Wenhao Chen; Ping Wang; Jeff Fowles; Kazukiyo Kumagai
Journal:  PLoS Comput Biol       Date:  2021-05-13       Impact factor: 4.475

2.  Influence of wind and relative humidity on the social distancing effectiveness to prevent COVID-19 airborne transmission: A numerical study.

Authors:  Yu Feng; Thierry Marchal; Ted Sperry; Hang Yi
Journal:  J Aerosol Sci       Date:  2020-05-18       Impact factor: 3.433

3.  Comparative Indoor Pollution from Glo, Iqos, and Juul, Using Traditional Combustion Cigarettes as Benchmark: Evidence from the Randomized SUR-VAPES AIR Trial.

Authors:  Mariangela Peruzzi; Elena Cavarretta; Giacomo Frati; Roberto Carnevale; Fabio Miraldi; Giuseppe Biondi-Zoccai; Sebastiano Sciarretta; Francesco Versaci; Vittoria Cammalleri; Pasquale Avino; Carmela Protano; Matteo Vitali
Journal:  Int J Environ Res Public Health       Date:  2020-08-19       Impact factor: 3.390

Review 4.  An update on controversies in e-cigarettes.

Authors:  Jayesh Mahendra Bhatt; Manisha Ramphul; Andrew Bush
Journal:  Paediatr Respir Rev       Date:  2020-09-26       Impact factor: 2.726

  4 in total

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