Evidence map›Paper›PMID 38993374›Full record

ArticleAerosol science and technology : the journal of the American Association for Aerosol Research2024

Fundamentals of low-cost aerosol sensor design and operation.

James Ouimette, W Patrick Arnott, Philip Laven, Richard Whitwell, Nagarajan Radhakrishnan, Suresh Dhaniyala, Michael Sandink, Jessica Tryner, John Volckens

Abstract read
In one paragraph

Article in Aerosol science and technology : the journal of the American Association for Aerosol Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Four-year community-wide PMAtmospheric environment (Oxford, England : 1994) · 2025
    Article
  6. Article
  7. Sensors (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Evaluation of Long-Term Performance of Six PMSensors (Basel, Switzerland) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

9 authors.

James OuimetteSanta Rosa, California, USA.
W Patrick ArnottDepartment of Physics, University of Nevada, Reno, Nevada, USA.
Philip LavenHorley, United Kingdom.
Richard WhitwellVallejo, California, USA.
Nagarajan RadhakrishnanDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.
Suresh DhaniyalaDepartment of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, USA.
Michael SandinkDepartment of Physics, University of Nevada, Reno, Nevada, USA.
Jessica TrynerDepartment of Mechanical Engineering, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0002-0522-4551
John VolckensDepartment of Mechanical Engineering, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0002-7563-9525

Funding

Validation of the UPAS+: A filter-based air sampler coupled with a suite of real-time sensorsR44ES024041 · NIEHS · ACCESS SENSOR TECHNOLOGIES, LLC · PI MILLER-LIONBERG, DANIEL D, TRYNER, JESSICA · 2017 to 2023
$3.8M
A Citizen-Science Approach to Occupational Hazard AssessmentR01OH011660 · OH · COLORADO STATE UNIVERSITY · PI CARTER, ELLISON M, VOLCKENS, JOHN · 2019 to 2022
$2.2M
NIEHS NIH HHS R44 ES024041NIOSH CDC HHS R01 OH011660
6 · The paper itself

Abstract

Most evaluations of low-cost aerosol sensors have focused on their measurement bias compared to regulatory monitors. Few evaluations have applied fundamental principles of aerosol science to increase our understanding of how such sensors work and could be improved. We examined the Plantower PMS5003 sensor's internal geometry, laser properties, photodiode responses, microprocessor output, flow rates, and response to mono- and poly-disperse aerosols. We developed a physics-based model of particle light scattering within the sensor, which we used to predict counting and sizing efficiency for 0.30 to 10 μm particles. We found that the PMS5003 counts single particle scattering events, acting like an imperfect optical particle counter, rather than a nephelometer. As particle flow is not focused into the core of the laser beam, >99% of particles that flow through the PMS5003 miss the laser, and those that intercept the laser usually miss the focal point and are subsequently undersized, resulting in erroneous size distribution data. Our model predictions of PMS5003 response to varying particle diameters, aerosol compositions, and relative humidity were consistent with laboratory data. Computational fluid dynamics simulations of the PurpleAir monitor housing showed that for wind-speeds less than 3 m s

Identifiers

PMID38993374
PMCPMC11236278

What OpenQuestion holds

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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.