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

Author

Listed:
  • Ali A. Rostami

    (Research, Development and Regulatory Affairs, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA 23219, USA)

  • Yezdi B. Pithawalla

    (Research, Development and Regulatory Affairs, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA 23219, USA)

  • Jianmin Liu

    (Research, Development and Regulatory Affairs, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA 23219, USA)

  • Michael J. Oldham

    (Research, Development and Regulatory Affairs, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA 23219, USA)

  • Karl A. Wagner

    (Research, Development and Regulatory Affairs, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA 23219, USA)

  • Kimberly Frost-Pineda

    (Research, Development and Regulatory Affairs, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA 23219, USA)

  • Mohamadi A. Sarkar

    (Research, Development and Regulatory Affairs, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA 23219, USA)

Abstract

Concerns have been raised in the literature for the potential of secondhand exposure from e-vapor product (EVP) use. It would be difficult to experimentally determine the impact of various factors on secondhand exposure including, but not limited to, room characteristics (indoor space size, ventilation rate), device specifications (aerosol mass delivery, e-liquid composition), and use behavior (number of users and usage frequency). Therefore, a well-mixed computational model was developed to estimate the indoor levels of constituents from EVPs under a variety of conditions. 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.

Suggested Citation

  • Ali A. Rostami & Yezdi B. Pithawalla & Jianmin Liu & Michael J. Oldham & Karl A. Wagner & Kimberly Frost-Pineda & Mohamadi A. Sarkar, 2016. "A Well-Mixed Computational Model for Estimating Room Air Levels of Selected Constituents from E-Vapor Product Use," IJERPH, MDPI, vol. 13(8), pages 1-15, August.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:8:p:828-:d:76070
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    References listed on IDEAS

    as
    1. Gerald A. Long, 2014. "Comparison of Select Analytes in Exhaled Aerosol from E-Cigarettes with Exhaled Smoke from a Conventional Cigarette and Exhaled Breaths," IJERPH, MDPI, vol. 11(11), pages 1-15, October.
    2. Grant O'Connell & Stéphane Colard & Xavier Cahours & John D. Pritchard, 2015. "An Assessment of Indoor Air Quality before, during and after Unrestricted Use of E-Cigarettes in a Small Room," IJERPH, MDPI, vol. 12(5), pages 1-19, May.
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    Cited by:

    1. Jianmin Liu & Qiwei Liang & Michael J. Oldham & Ali A. Rostami & Karl A. Wagner & I. Gene Gillman & Piyush Patel & Rebecca Savioz & Mohamadi Sarkar, 2017. "Determination of Selected Chemical Levels in Room Air and on Surfaces after the Use of Cartridge- and Tank-Based E-Vapor Products or Conventional Cigarettes," IJERPH, MDPI, vol. 14(9), pages 1-21, August.

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