Effects of user puff topography, device voltage, and liquid nicotine concentration on electronic cigarette nicotine yield: Measurements and model predictions

dc.contributor.authorTalih, Soha
dc.contributor.authorBalhas, Zainab
dc.contributor.authorEissenberg, Thomas E.
dc.contributor.authorSalman, Rola
dc.contributor.authorKaraoghlanian, Nareg
dc.contributor.authorEl-Hellani, Ahmad
dc.contributor.authorBaalbaki, Rima
dc.contributor.authorSaliba, Najat A.
dc.contributor.authorShihadeh, Alan Louis
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.facultyMaroun Semaan Faculty of Engineering and Architecture (MSFEA)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:32:05Z
dc.date.available2025-01-24T11:32:05Z
dc.date.issued2015
dc.description.abstractIntroduction: Some electronic cigarette (ECIG) users attain tobacco cigarette-like plasma nicotine concentrations while others do not. Understanding the factors that influence ECIG aerosol nicotine delivery is relevant to regulation, including product labeling and abuse liability. These factors may include user puff topography, ECIG liquid composition, and ECIG design features. This study addresses how these factors can influence ECIG nicotine yield. Methods: Aerosols were machine generated with 1 type of ECIG cartridge (V4L CoolCart) using 5 distinct puff profiles representing a tobacco cigarette smoker (2-s puff duration, 33-ml/s puff velocity), a slow average ECIG user (4 s, 17 ml/s), a fast average user (4 s, 33 ml/s), a slow extreme user (8 s, 17 ml/s), and a fast extreme user (8 s, 33 ml/s). Output voltage (3.3-5.2 V or 3.0-7.5 W) and e-liquid nicotine concentration (18-36 mg/ml labeled concentration) were varied. A theoretical model was also developed to simulate the ECIG aerosol production process and to provide insight into the empirical observations. Results: Nicotine yields from 15 puffs varied by more than 50-fold across conditions. Experienced ECIG user profiles (longer puffs) resulted in higher nicotine yields relative to the tobacco smoker (shorter puffs). Puff velocity had no effect on nicotine yield. Higher nicotine concentration and higher voltages resulted in higher nicotine yields. These results were predicted well by the theoretical model (R2 = 0.99). Conclusions: Depending on puff conditions and product features, 15 puffs from an ECIG can provide far less or far more nicotine than a single tobacco cigarette. ECIG emissions can be predicted using physical principles, with knowledge of puff topography and a few ECIG device design parameters. The Author 2014. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved.
dc.identifier.doihttps://doi.org/10.1093/ntr/ntu174
dc.identifier.eid2-s2.0-84922465390
dc.identifier.pmid25187061
dc.identifier.urihttp://hdl.handle.net/10938/27677
dc.language.isoen
dc.publisherOxford University Press
dc.relation.ispartofNicotine and Tobacco Research
dc.sourceScopus
dc.subjectBehavior
dc.subjectElectronic cigarettes
dc.subjectEquipment design
dc.subjectHumans
dc.subjectModels, biological
dc.subjectNicotine
dc.subjectProduct labeling
dc.subjectSmoking
dc.subjectElectronic cigarette
dc.subjectAerosol
dc.subjectArticle
dc.subjectBlood level
dc.subjectChemical analysis
dc.subjectDevices
dc.subjectElectric current
dc.subjectMathematical model
dc.subjectMeasurement
dc.subjectParticulate matter
dc.subjectPriority journal
dc.subjectSampling
dc.subjectSimulation
dc.subjectTopography
dc.subjectUser puff topography
dc.subjectBiological model
dc.subjectHuman
dc.subjectPackaging
dc.subjectPsychology
dc.titleEffects of user puff topography, device voltage, and liquid nicotine concentration on electronic cigarette nicotine yield: Measurements and model predictions
dc.typeArticle

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