The DOI matches its Crossref record.
Nicotine Levels in Electronic Cigarettes
Abstract
INTRODUCTION: The electronic cigarette (EC) is a plastic device that imitates conventional cigarettes and was developed to deliver nicotine in a toxin-free vapor. Nicotine in a solution is heated and vaporized when a person puffs through the device and is inhaled as a vapor into the mouth. The EC is a new product on the market and little is known about its safety and nicotine delivery efficacy. The aim of the study was to analyze nicotine levels in vapor generated from various EC brands and models. The study was designed to assess efficacy and consistency of various ECs in converting nicotine to vapor and to analyze dynamics of nicotine vaporization. METHODS: Sixteen ECs were selected based on their popularity in the Polish, U.K. and U.S. markets. Vapors were generated using an automatic smoking machine modified to simulate puffing conditions of real EC users. Nicotine was absorbed in a set of washing bottles with methanol and analyzed with gas chromatography. RESULTS: The total level of nicotine in vapor generated by 20 series of 15 puffs varied from 0.5 to 15.4 mg. Most of the analyzed ECs effectively delivered nicotine during the first 150-180 puffs. On an average, 50%-60% of nicotine from a cartridge was vaporized. CONCLUSIONS: ECs generate vapor that contains nicotine, but EC brands and models differ in their efficacy and consistency of nicotine vaporization. In ECs, which vaporize nicotine effectively, the amount inhaled from 15 puffs is lower compared with smoking a conventional cigarette.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
E-Cigarettes: A Scientific Review
Grana, R., Benowitz, N., & Glantz, S. A. (2014) · Circulation · doi:10.1161/circulationaha.114.007667 · Cited by 1,194
“Simulated e-cigarette use revealed that individual puffs contained from 0 to 35 μg nicotine per puff.(37) Assuming a high nicotine delivery of 30 μg per puff, it would take ≈30 puffs to deliver the 1 mg nicotine typically delivered by smoking a conventional cigarette.”
Electronic cigarettes for smoking cessation: a randomised controlled trial.
Bullen, C., Howe, C., Laugesen, M., McRobbie, H., Parag, V., Williman, J., & Walker, N. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61842-5 · Cited by 1,094
Lerner, C. A., Sundar, I. K., Yao, H., Gerloff, J., Ossip, D. J., McIntosh, S., Robinson, R., & Rahman, I. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116732 · Cited by 666
Williams, M., Villarreal, A., Bozhilov, K., Lin, S., & Talbot, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057987 · Cited by 530
One Is Not Enough: Understanding and Modeling Polysubstance Use
Crummy, E. A., O’Neal, T. J., Baskin, B. M., & Ferguson, S. M. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00569 · Cited by 351
Goniewicz, M. L., Gawron, M., Smith, D. M., Peng, M., Jacob, P., & Benowitz, N. L. (2017) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw160 · Cited by 331
Self-citationElectronic cigarettes for smoking cessation
Hartmann-Boyce, J., Lindson, N., Butler, A. R., McRobbie, H., Bullen, C., Begh, R., Theodoulou, A., Notley, C., Rigotti, N. A., Turner, T., et al. (2022) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010216.pub7 · Cited by 320
Brown, J., West, R., Beard, E., Michie, S., Shahab, L., & McNeill, A. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.03.009 · Cited by 242
Goldenson, N. I., Leventhal, A. M., Stone, M. D., McConnell, R. S., & Barrington-Trimis, J. L. (2017) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2017.3209 · Cited by 179
Prevalence and Perceptions of Electronic Cigarette Use during Pregnancy
Wagner, N. J., Camerota, M., & Propper, C. (2017) · Maternal and Child Health Journal · doi:10.1007/s10995-016-2257-9 · Cited by 169
Electronic cigarettes and nicotine clinical pharmacology
Schroeder, M. J., & Hoffman, A. C. (2014) · Tobacco Control · doi:10.1136/tobaccocontrol-2013-051469 · Cited by 158
Goniewicz, M. L., Gupta, R., Lee, Y. H., Reinhardt, S., Kim, S., Kim, B., Kosmider, L., & Sobczak, A. (2015) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2015.01.020 · Cited by 146
Self-citationNicotine Replacement Therapy : An Overview
Wadgave, U., & L., N. (2016) · International Journal of Health Sciences · doi:10.12816/0048737 · Cited by 141
E-cigarettes and National Adolescent Cigarette Use: 2004–2014
Dutra, L. M., & Glantz, S. A. (2017) · Pediatrics · doi:10.1542/peds.2016-2450 · Cited by 106
Orzabal, M. R., Lunde-Young, E. R., Ramirez, J. I., Howe, S. Y. F., Naik, V. D., Lee, J., Heaps, C. L., Threadgill, D. W., & Ramadoss, J. (2019) · Translational Research · doi:10.1016/j.trsl.2019.01.001 · Cited by 91
“E-cig liquid nicotine concentration was selected with consideration for the average nicotine concentration of commercially available e-cig liquids.(34,39)”
Dai, H. D., Doucet, G. E., Wang, Y., Puga, T., Samson, K., Xiao, P., & Khan, A. S. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.25991 · Cited by 48
Metadata
- Authors
- Goniewicz, M. L., Kuma, T., Gawron, M., Knysak, J., & Kosmider, L.
- Venue
- Nicotine & Tobacco Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-04-22
- Volume
- 15
- Issue
- 1
- Pages
- 158-166
- ISSN
- 1462-2203 (ISSN-L)
- 1469-994X
- OpenAlex
- W2120822158
- Cited by
- 590
- References
- 0
- FWCI
- 29.44
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.