Evidence map›Paper›PMID 33114291›Full record

ArticleInternational journal of environmental research and public health2020

Method for Quantifying Variation in the Resistance of Electronic Cigarette Coils.

Qutaiba M Saleh, Edward C Hensel, Risa J Robinson

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Qutaiba M SalehDepartment of Computer Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA.ORCID 0000-0001-9322-8909
Edward C HenselDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA.ORCID 0000-0002-2682-0766
Risa J RobinsonDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA.ORCID 0000-0001-8488-5448

Funding

Understanding the Association Between Electronic Cigarette Aerosol Emissions, Tobacco Product Characteristics and User Topography and Consumption BehaviorR21ES029984 · NIEHS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI HENSEL, EDWARD CHARLES · 2019 to 2020
$403k
NIEHS NIH HHS R21 ES029984NIEHS NIH HHS R21ES029984
6 · The paper itself

Abstract

In electronic nicotine delivery systems (ENDS), coil resistance is an important factor in the generation of heat energy used to change e-liquid into vapor. An accurate and unbiased method for testing coil resistance is vital for understanding its effect on emissions and reporting results that are comparable across different types and brands of ENDS and measured in different laboratories. This study proposes a robust, accurate and unbiased method for measuring coil resistance. An apparatus is used which mimics the geometric configuration and assembly of ENDS reservoirs, coils and power control units. The method is demonstrated on two commonly used ENDS devices-the ALTO by Vuse and JUUL. Analysis shows that the proposed method is stable and reliable. The two-wire configuration introduced a positive measurement bias of 0.086 (Ω), which is a significant error for sub-ohm coil designs. The four-wire configuration is far less prone to bias error and is recommended for universal adoption. We observed a significant difference in the coil resistance of 0.593 (Ω) (

Indexed as

Electronic Nicotine Delivery SystemsVapingAerosolsHot TemperatureAerosolsatomizercoil resistancee-cigaretteelectronic nicotine delivery systempod style

Identifiers

PMID33114291
PMCPMC7660654

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.