First- and second-hand smoke dispersion analysis from e-cigarettes using a computer-simulated person with a respiratory tract model

The purpose of this study was to investigate, in the human respiratory tract, the flow patterns and adsorption flux (deposition flux) distributions of volatile organic compounds (VOCs) generated by the use of electronic cigarettes (e-cigarettes) through the application of a three-dimensional computational fluid dynamics (CFD) analysis. Two types of human respiratory tract models, which give detailed respiratory tract geometries were reproduced in this study using computed tomography data, for the CFD analysis of inhalation exposure. Complicated flow patterns, nonuniform distributions of VOC concentrations, and heterogeneous adsorption flux distributions were determined within the human respiratory tract models, and individual specificity was confirmed. The CFD simulation results of adsorption flux distributions on the epithelium tissue surfaces of airways denoted the probability distributions of inhalation exposure in respiratory tracts, and high adsorption flux sites representing ‘hot spots’ were delineated for tissue doses of VOCs generated from smoking e-cigarettes. Furthermore, dispersion and diffusion of VOCs in an indoor environment due to exhalation of the vapour phase of e-cigarette emissions were analysed by using a computer-simulated person with a numerical respiratory tract model through an integrated and contiguous analysis of inhalation and exhalation modes during e-cigarette smoking.

[1]  Kazuhide Ito,et al.  Investigation of flow pattern in upper human airway including oral and nasal inhalation by PIV and CFD , 2015 .

[2]  Kazuhide Ito,et al.  Toward the development of an in silico human model for indoor environmental design , 2016, Proceedings of the Japan Academy. Series B, Physical and biological sciences.

[3]  Jennifer L. Pearson,et al.  e-Cigarette awareness, use, and harm perceptions in US adults. , 2012, American journal of public health.

[4]  Bruce A. Pearce,et al.  Windows® based general PBPK/PD modeling software , 2008, Comput. Biol. Medicine.

[5]  T. Salthammer,et al.  Does e-cigarette consumption cause passive vaping? , 2013, Indoor air.

[6]  P Worth Longest,et al.  In Silico Models of Aerosol Delivery to the Respiratory Tract — Development and Applications ☆ Advanced Drug Delivery Reviews , 2022 .

[7]  Da-Ren Chen,et al.  In vitro particle size distributions in electronic and conventional cigarette aerosols suggest comparable deposition patterns. , 2013, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[8]  Takashi Kurabuchi,et al.  CFD Benchmark Tests for Indoor Environmental Problems: Part 2, Cross-Ventilation Airflows and Floor Heating Systems , 2015 .

[9]  Goodarz Ahmadi,et al.  Computational Fluid and Particle Dynamics in the Human Respiratory System , 2012 .

[10]  Kazuhide Ito,et al.  Prediction of convective heat transfer coefficient of human upper and lower airway surfaces in steady and unsteady breathing conditions , 2016 .

[11]  Ken-ichi Abe,et al.  A new turbulence model for predicting fluid flow and heat transfer in separating and reattaching flows—I. Flow field calculations , 1995 .

[12]  L. Kinlen Mortality from smoking in developed countries 1950-2000 , 1996, British Journal of Cancer.

[13]  J. Wen,et al.  Comparison of micron- and nanoparticle deposition patterns in a realistic human nasal cavity , 2009, Respiratory Physiology & Neurobiology.

[14]  Steve M. Hays,et al.  Indoor Air Quality: Solutions and Strategies , 1995 .

[15]  R B Conolly,et al.  Dosimetry modeling of inhaled formaldehyde: binning nasal flux predictions for quantitative risk assessment. , 2001, Toxicological sciences : an official journal of the Society of Toxicology.

[16]  Jiyuan Tu,et al.  From CT Scans to CFD Modelling – Fluid and Heat Transfer in a Realistic Human Nasal Cavity , 2009 .

[17]  Melvin E Andersen,et al.  Physiologically based pharmacokinetic (PBPK) models for nasal tissue dosimetry of organic esters: assessing the state-of-knowledge and risk assessment applications with methyl methacrylate and vinyl acetate. , 2002, Regulatory toxicology and pharmacology : RTP.

[18]  J. Samet,et al.  The E-cigarette Social Environment, E-cigarette Use, and Susceptibility to Cigarette Smoking. , 2016, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[19]  Shinichi Tanabe,et al.  Indoor Environmental Quality ( IEQ ) Title Evaluating thermal environments by using a thermal manikin with controlled skin surface temperature , 2006 .

[20]  Kiao Inthavong,et al.  CFD Simulations on the Heating Capability in a Human Nasal Cavity , 2007 .

[21]  Takashi Kurabuchi,et al.  CFD Benchmark Tests for Indoor Environmental Problems: Part 4, Air-conditioning Airflows, Residential Kitchen Airflows and Fire-Induced Flow , 2015 .

[22]  Clement Kleinstreuer,et al.  Modeling airflow and particle transport/deposition in pulmonary airways , 2008, Respiratory Physiology & Neurobiology.

[23]  Kiao Inthavong,et al.  Prediction of convective heat transfer coefficients for the upper respiratory tracts of rat, dog, monkey, and humans , 2017 .

[24]  D. Mariner,et al.  Post-puff respiration measures on smokers of different tar yield cigarettes , 2009, Inhalation Toxicology.

[25]  H. Clewell,et al.  Application of physiological computational fluid dynamics models to predict interspecies nasal dosimetry of inhaled acrolein. , 2008, Inhalation toxicology.

[26]  Jiyuan Tu,et al.  Numerical modelling and verification of nanoparticle deposition and its application in the nasal cavity and the tracheobronchial airway , 2011 .

[27]  Eric A Hoffman,et al.  Characteristics of airflow in a CT-based ovine lung: a numerical study. , 2007, Journal of applied physiology.

[28]  Kevin R Minard,et al.  Comparative Risks of Aldehyde Constituents in Cigarette Smoke Using Transient Computational Fluid Dynamics/Physiologically Based Pharmacokinetic Models of the Rat and Human Respiratory Tracts. , 2015, Toxicological sciences : an official journal of the Society of Toxicology.

[29]  P. Longest,et al.  Effects of oral airway geometry characteristics on the diffusional deposition of inhaled nanoparticles. , 2008, Journal of biomechanical engineering.

[30]  P V Nielsen,et al.  Dispersal of exhaled air and personal exposure in displacement ventilated rooms. , 2002, Indoor air.

[31]  H Kitaoka,et al.  A three-dimensional model of the human airway tree. , 1999, Journal of applied physiology.

[32]  M. Jamei,et al.  PBPK modelling of inter-individual variability in the pharmacokinetics of environmental chemicals. , 2010, Toxicology.

[33]  Konstantinos Kostikas,et al.  Acute impact of active and passive electronic cigarette smoking on serum cotinine and lung function , 2013, Inhalation toxicology.

[34]  A. Hwang [Thermal comfort]. , 1990, Taehan kanho. The Korean nurse.

[35]  Warren H. Finlay,et al.  On the suitability of k–ε turbulence modeling for aerosol deposition in the mouth and throat: a comparison with experiment , 2000 .

[36]  Alan D. Lopez,et al.  Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study , 1997, The Lancet.

[37]  Jessica K. Pepper,et al.  How risky is it to use e-cigarettes? Smokers’ beliefs about their health risks from using novel and traditional tobacco products , 2014, Journal of Behavioral Medicine.

[38]  Takashi Kurabuchi,et al.  CFD Benchmark Tests for Indoor Environmental Problems: Part 1, Isothermal/Non-Isothermal Flow in 2D and 3D Room Model , 2015 .

[39]  Takashi Kurabuchi,et al.  CFD Benchmark Tests for Indoor Environmental Problems: Part 3, Numerical Thermal Manikins , 2015 .

[40]  C. Vardavas,et al.  Short-term pulmonary effects of using an electronic cigarette: impact on respiratory flow resistance, impedance, and exhaled nitric oxide. , 2012, Chest.