Evidence map›Paper›PMID 35210524›Full record

ArticleScientific reports2022

Characterization of exhaled e-cigarette aerosols in a vape shop using a field-portable holographic on-chip microscope.

Ege Çetintaş, Yi Luo, Charlene Nguyen, Yuening Guo, Liqiao Li, Yifang Zhu, Aydogan Ozcan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Ege ÇetintaşElectrical and Computer Engineering Department, University of California, Los Angeles (UCLA), 420 Westwood Plaza, Engr. IV 68-119, Los Angeles, CA, 90095, USA.
Yi LuoElectrical and Computer Engineering Department, University of California, Los Angeles (UCLA), 420 Westwood Plaza, Engr. IV 68-119, Los Angeles, CA, 90095, USA.
Charlene NguyenDepartment of Environmental Health Sciences, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Yuening GuoDepartment of Environmental Health Sciences, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Liqiao LiDepartment of Environmental Health Sciences, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Yifang ZhuDepartment of Environmental Health Sciences, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Aydogan OzcanElectrical and Computer Engineering Department, University of California, Los Angeles (UCLA), 420 Westwood Plaza, Engr. IV 68-119, Los Angeles, CA, 90095, USA. ozcan@ucla.edu.

Funding

Linking E-Cigarette Aerosol Characteristics to Mechanisms of Pulmonary ToxicityR01HL139379 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHU, YIFANG · 2018 to 2021
$1.8M
NHLBI NIH HHS R01 HL139379
6 · The paper itself

Abstract

The past decade marked a drastic increase in the usage of electronic cigarettes. The adverse health impact of secondhand exposure due to exhaled e-cig particles has raised significant concerns, demanding further research on the characteristics of these particles. In this work, we report direct volatility measurements on exhaled e-cig aerosols using a field-portable device (termed c-Air) enabled by deep learning and lens-free holographic microscopy; for this analysis, we performed a series of field experiments in a vape shop where customers used/vaped their e-cig products. During four days of experiments, we periodically sampled the indoor air with intervals of ~ 16 min and collected the exhaled particles with c-Air. Time-lapse inline holograms of the collected particles were recorded by c-Air and reconstructed using a convolutional neural network yielding phase-recovered microscopic images of the particles. Volumetric decay of individual particles due to evaporation was used as an indicator of the volatility of each aerosol. Volatility dynamics quantified through c-Air experiments showed that indoor vaping increased the percentage of volatile and semi-volatile particles in air. The reported methodology and findings can guide further studies on volatility characterization of indoor e-cig emissions.

Indexed as

Electronic Nicotine Delivery SystemsAerosolsAir Pollution, IndoorDeep LearningHolographyHumansMicroscopyParticulate MatterTobacco ProductsVapingAerosolsParticulate Matter

Identifiers

PMID35210524
PMCPMC8873257

What OpenQuestion holds

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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.