Evidence map›Paper›PMID 28785072›Full record

ArticleScientific reports2017

E-Liquid Autofluorescence can be used as a Marker of Vaping Deposition and Third-Hand Vape Exposure.

Eric S Davis, M Flori Sassano, Henry Goodell, Robert Tarran

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
  3. An assessment of vaping-induced inflammation and toxicity: A feasibility study using a 2-stage zebrafish and mouse platform.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2022
    Article
  4. Article
  5. Article
  6. E-Cigarettes and Cardiopulmonary Health.Function (Oxford, England) · 2021
    Review
  7. Article
  8. Flavored e-liquids increase cytoplasmic CaAmerican journal of physiology. Lung cellular and molecular physiology · 2020
    Article
  9. Article
  10. Orthodox and Unorthodox Uses of Electronic Cigarettes: A Surveillance of YouTube Video Content.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Article
  11. Where Do People Vape? Insights from Twitter Data.International journal of environmental research and public health · 2019
    Article
  12. Chronic E-Cigarette Exposure Alters the Human Bronchial Epithelial Proteome.American journal of respiratory and critical care medicine · 2018
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eric S DavisMarsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina, Chapel Hill, NC, USA.
M Flori SassanoMarsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina, Chapel Hill, NC, USA.
Henry GoodellDepartment of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA.
Robert TarranMarsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina, Chapel Hill, NC, USA. robert_tarran@med.unc.edu.

Funding

The Impact of Tobacco Exposure on the Lungs Innate Defense SystemP50HL120100 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TARRAN, ROBERT · 2013 to 2017
$21.0M
NHLBI NIH HHS P50 HL120100
6 · The paper itself

Abstract

In the past 5 years, e-cigarette use has been increasing rapidly, particularly in youth and young adults. Due to the novelty of e-cigarettes (e-cigs) and e-cigarette liquids (e-liquids), research on their chemo-physical properties is still in its infancy. Here, we describe a previously unknown and potentially useful property of e-liquids, namely their autofluorescence. We performed an emission scan at 9 excitation wavelengths common to fluorescent microscopy and found (i) that autofluorescence differs widely between e-liquids, (ii) that e-liquids are most fluorescent in the UV range (between 350 and 405 nm) and (iii) fluorescence intensity wanes as the emission wavelength increases. Furthermore, we used the autofluorescence of e-liquids as a marker for tracking e-cig aerosol deposition in the laboratory. Using linear regression analysis, we were able to quantify the deposition of a "vaped" e-liquid onto hard surfaces. Using this technique, we found that every 70 mL puff of an e-cigarette deposited 0.019% e-liquid (v/v) in a controlled environment. Finally, we vaped a surface in the laboratory and used our method to detect e-cig aerosol third-hand exposure. In conclusion, our data suggest that e-cigarette autofluorescence can be used as a marker of e-cigarette deposition.

Indexed as

AerosolsElectronic Nicotine Delivery SystemsHumansLinear ModelsMicroscopy, FluorescenceTobacco Smoke PollutionVapingAerosolsTobacco Smoke Pollution

Identifiers

PMID28785072
PMCPMC5547159

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.