Evidence map›Paper›PMID 30199038›Full record

ArticleJournal of visualized experiments : JoVE2018

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies.

Alexandra Noël, Christina M Verret, Farhana Hasan, Slawomir Lomnicki, John Morse, Annette Robichaud, Arthur L Penn

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

23 citing papers in PubMed, 31 citations in OpenAlex.

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  10. Acute vaping in a golden Syrian hamster causes inflammatory response transcriptomic changes.American journal of physiology. Lung cellular and molecular physiology · 2022
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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

7 authors at 1 institution in 1 country.

Alexandra NoëlDepartment of Comparative Biomedical Sciences, School of Veterinary Medicine, Louisiana State University; anoel@lsu.edu.
Christina M VerretDepartment of Comparative Biomedical Sciences, School of Veterinary Medicine, Louisiana State University.
Farhana HasanDepartment of Environmental Sciences, College of the Coast & Environment, Louisiana State University.
Slawomir LomnickiDepartment of Environmental Sciences, College of the Coast & Environment, Louisiana State University.
John MorseSCIREQ Scientific Respiratory Equipment Inc.
Annette RobichaudSCIREQ Scientific Respiratory Equipment Inc.
Arthur L PennDepartment of Comparative Biomedical Sciences, School of Veterinary Medicine, Louisiana State University.
Louisiana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic-cigarette (e-cig) devices use heat to produce an inhalable aerosol from a liquid (e-liquid) composed mainly of humectants, nicotine, and flavoring chemicals. The aerosol produced includes fine and ultrafine particles, and potentially nicotine and aldehydes, which can be harmful to human health. E-cig users inhale these aerosols and, with the third-generation of e-cig devices, control design features (resistance and voltage) in addition to the choice of e-liquids, and the puffing profile. These are key factors that can significantly impact the toxicity of the inhaled aerosols. E-cig research, however, is challenging and complex mostly due to the absence of standardized assessments and to the numerous varieties of e-cig models and brands, as well as e-liquid flavors and solvents that are available on the market. These considerations highlight the urgent need to harmonize e-cig research protocols, starting with e-cig aerosol generation and characterization techniques. The current study focuses on this challenge by describing a detailed step-by-step e-cig aerosol generation technique with specific experimental parameters that are thought to be realistic and representative of real-life exposure scenarios. The methodology is divided into four sections: preparation, exposure, post-exposure analysis, plus cleaning and maintenance of the device. Representative results from using two types of e-liquid and various voltages are presented in terms of mass concentration, particle size distribution, chemical composition and cotinine levels in mice. These data demonstrate the versatility of the e-cig exposure system used, aside from its value for toxicological studies, as it allows for a broad range of computer-controlled exposure scenarios, including automated representative vaping topography profiles.

Indexed as

AerosolsElectronic Nicotine Delivery SystemsHumansVapingAerosols

Identifiers

PMID30199038
PMCPMC6231858
OpenAlexW2888378439

What OpenQuestion holds

Textmetadata
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.