Evidence map›Paper›PMID 37187904›Full record

ArticleHeliyon2023

Characterisation and calibration of low-cost PM sensors at high temporal resolution to reference-grade performance.

Florentin M J Bulot, Steven J Ossont, Andrew K R Morris, Philip J Basford, Natasha H C Easton, Hazel L Mitchell, Gavin L Foster, Simon J Cox, Matthew Loxham

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Calibration of Low-Cost Sensors for PMSensors (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

9 authors.

Florentin M J BulotFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
Steven J OssontBizData, 278 Collins St, Melbourne, VIC, 3000, Australia.
Andrew K R MorrisNational Oceanography Centre, Southampton, UK.
Philip J BasfordFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
Natasha H C EastonSouthampton Marine and Maritime Institute, University of Southampton, Southampton, UK.
Hazel L MitchellFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
Gavin L FosterSouthampton Marine and Maritime Institute, University of Southampton, Southampton, UK.
Simon J CoxFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
Matthew LoxhamSouthampton Marine and Maritime Institute, University of Southampton, Southampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particulate Matter (PM) low-cost sensors (LCS) present a cost-effective opportunity to improve the spatiotemporal resolution of airborne PM data. Previous studies focused on PM-LCS-reported hourly data and identified, without fully addressing, their limitations. However, PM-LCS provide measurements at finer temporal resolutions. Furthermore, government bodies have developed certifications to accompany new uses of these sensors, but these certifications have shortcomings. To address these knowledge gaps, PM-LCS of two models, 8 Sensirion SPS30 and 8 Plantower PMS5003, were collocated for one year with a Fidas 200S, MCERTS-certified PM monitor and were characterised at 2 min resolution, enabling replication of certification processes, and highlighting their limitations and improvements. Robust linear models using sensor-reported particle number concentrations and relative humidity, coupled with 2-week biannual calibration campaigns, achieved reference-grade performance, at median PM

Indexed as

Air pollutionCalibationLow-cost sensorsMachine learningParticulate matterPM2.5

Identifiers

PMID37187904
PMCPMC10176080

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.