Evidence map›Paper›PMID 35271185›Full record

ArticleSensors (Basel, Switzerland)2022

Detection of Airborne Nanoparticles through Enhanced Light Scattering Images.

Yan Ye, Qisheng Ou, Weiqi Chen, Qingfeng Cao, Dong-Bin Kwak, Thomas Kuehn, David Y H Pui

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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.

Yan YeParticle Technology Lab, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-9199-9507
Qisheng OuParticle Technology Lab, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-6559-6851
Weiqi ChenParticle Technology Lab, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-0133-7110
Qingfeng CaoParticle Technology Lab, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-1187-5705
Dong-Bin KwakParticle Technology Lab, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0003-4256-769X
Thomas KuehnParticle Technology Lab, University of Minnesota, Minneapolis, MN 55455, USA.
David Y H PuiParticle Technology Lab, University of Minnesota, Minneapolis, MN 55455, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new method is proposed in this paper to detect airborne nanoparticles, detecting the light scattering caused by both the particle and the surrounding molecules, which can surpass the limitations of conventional laser optical methods while maintaining simplicity and cost-effectiveness. This method is derived from a mathematical analysis that describes the particle light scattering phenomenon more exactly by including the influence of light scattered from surrounding gas molecules. The analysis shows that it is often too much of a simplification to consider only light scattering from the detected nanoparticle, because light scattering from the surrounding gas molecules, whether visible or invisible to the sensor, is important for nanoparticle detection. An image detection approach utilizing the light scattering from surrounding air molecules is described for the detection of airborne nanoparticles. Tests using monodisperse nanoparticles confirm that airborne particles of around 50 nm in size can even be detected using a low-cost testing device. This shows further that even when using a simple image processing code, captured particle light scattering images can be converted digitally into instantaneous particle counts or concentrations. The factors limiting conventional pulse detection are further discussed. This new method utilizes a simple static light scattering (SLS) approach to enable the development of new devices with better detection capabilities, paving the way for the further development of nanoparticle detection technology.

Indexed as

NanoparticlesLasersParticle SizeScattering, Radiationaerosolairborne nanoparticlesimage processinglaser particle detectorlight scatteringlight scattering image

Identifiers

PMID35271185
PMCPMC8914693

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Registered trials

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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.