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A simple predictive model for estimating relative e-cigarette toxic carbonyl levels.

Shawna Vreeke1, Xijing Zhu1, Robert M Strongin1

  • 1Department of Chemistry, Portland State University, Portland, Oregon, United States of America.

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|August 27, 2020
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Summary

A new mathematical model predicts e-liquid solvent degradation in e-cigarettes using coil and wick properties. This model offers better predictability than device power settings for understanding toxic carbonyl levels in aerosols.

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Area of Science:

  • Chemical Engineering
  • Environmental Health
  • Toxicology

Background:

  • E-cigarette aerosol composition varies significantly due to device diversity.
  • Device power is an unreliable indicator of toxic carbonyl levels across different e-cigarette models.

Purpose of the Study:

  • To develop a predictive mathematical model for e-liquid solvent degradation in e-cigarettes.
  • To assess the predictability of coil and wick parameters versus power settings for toxin levels.

Main Methods:

  • A mathematical model (Model 1: coil length/(wick surface area*wraps)) was developed.
  • Twelve e-cigarette devices with varied coil and wick designs were analyzed.
  • Model 1's predictability was compared against twelve alternative models.

Main Results:

  • Model 1 demonstrated moderate-to-substantial predictive capability for e-liquid solvent degradation (R² = 0.69).
  • The developed model outperformed twelve alternative models in predictability.
  • Correlations involving power settings showed weak predictability for inter-device toxin levels.

Conclusions:

  • Coil and wick parameters offer a more reliable method for predicting e-liquid solvent degradation than power settings.
  • Device design, specifically coil and wick characteristics, significantly influences toxicant levels.
  • Power settings alone are insufficient for comparing toxicant emissions across different e-cigarette devices.