Evidence map›Paper›PMID 34204182›Full record

ArticleSensors (Basel, Switzerland)2021

Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures.

Sinan Sousan, Swastika Regmi, Yoo Min Park

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Advancing low-cost air quality monitor calibration with machine learning methods.Environmental pollution (Barking, Essex : 1987) · 2025
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  17. Laboratory Determination of Gravimetric Correction Factors for Real-time Area Measurements of Electronic Cigarette Aerosols.Aerosol science and technology : the journal of the American Association for Aerosol Research · 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

3 authors.

Sinan SousanDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA.ORCID 0000-0001-5524-6911
Swastika RegmiEnvironmental Health Sciences Program, Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC 27834, USA.
Yoo Min ParkDepartment of Geography, Planning, and Environment, East Carolina University, Greenville, NC 27858, USA.ORCID 0000-0003-1860-4489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-cost optical particle counters effectively measure particulate matter (PM) mass concentrations once calibrated. Sensor calibration can be established by deriving a linear regression model by performing side-by-side measurements with a reference instrument. However, calibration differences between environmental and occupational settings have not been demonstrated. This study evaluated four commercially available, low-cost PM sensors (OPC-N3, SPS30, AirBeam2, and PMS A003) in both settings. The mass concentrations of three aerosols (salt, Arizona road dust, and Poly-alpha-olefin-4 oil) were measured and compared with a reference instrument. OPC-N3 and SPS30 were highly correlated (

Indexed as

Air PollutantsOccupational ExposureAerosolsEnvironmental MonitoringLaboratoriesParticle SizeParticulate MatterAerosolsAir PollutantsParticulate MatterAirBeam2environmental monitoringlow-cost sensorsoccupational monitoringOPCOPC-N3particulate matterPMS A003sensor calibrationSPS30

Identifiers

PMID34204182
PMCPMC8233711

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.