Evidence map›Paper›PMID 33260320›Full record

ReviewSensors (Basel, Switzerland)2020

A Review of Low-Cost Particulate Matter Sensors from the Developers' Perspectives.

Brigida Alfano, Luigi Barretta, Antonio Del Giudice, Saverio De Vito, Girolamo Di Francia, Elena Esposito, Fabrizio Formisano, Ettore Massera, Maria Lucia Miglietta, Tiziana Polichetti

Erratum issuedAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Mitigating indoor risk of airborne infections using COJournal of environmental health science & engineering · 2026
    Article
  2. Article
  3. Field Evaluation of Community Condensation Particle Counters, Optical Particle Counters, and a Low-Cost Particle Sensor.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Advancing low-cost air quality monitor calibration with machine learning methods.Environmental pollution (Barking, Essex : 1987) · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Assessing personal PMEnvironmental monitoring and assessment · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Brigida AlfanoENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.ORCID 0000-0002-1091-4522
Luigi BarrettaDepartment of Physics, University of Naples Federico II, via Cinthia, 80100 Napoli, Italy.ORCID 0000-0001-7628-524X
Antonio Del GiudiceENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.
Saverio De VitoENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.ORCID 0000-0002-0745-924X
Girolamo Di FranciaENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.
Elena EspositoENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.
Fabrizio FormisanoENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.
Ettore MasseraENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.ORCID 0000-0002-0613-9455
Maria Lucia MigliettaENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.ORCID 0000-0003-1951-7977
Tiziana PolichettiENEA CR-Portici, TERIN-FSD Department, P.le E. Fermi 1, 80055 Portici, Italy.ORCID 0000-0001-7482-2398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concerns related to particulate matter's health effects alongside the increasing demands from citizens for more participatory, timely, and diffused air quality monitoring actions have resulted in increasing scientific and industrial interest in low-cost particulate matter sensors (LCPMS). In the present paper, we discuss 50 LCPMS models, a number that is particularly meaningful when compared to the much smaller number of models described in other recent reviews on the same topic. After illustrating the basic definitions related to particulate matter (PM) and its measurements according to international regulations, the device's operating principle is presented, focusing on a discussion of the several characterization methodologies proposed by various research groups, both in the lab and in the field, along with their possible limitations. We present an extensive review of the LCPMS currently available on the market, their electronic characteristics, and their applications in published literature and from specific tests. Most of the reviewed LCPMS can accurately monitor PM changes in the environment and exhibit good performances with accuracy that, in some conditions, can reach

Indexed as

air qualityair quality monitoringcalibrationcharacterizationIoT AQ nodeslow cost particulate matter sensorsparticulate matterperformances

Identifiers

PMID33260320
PMCPMC7730878

What OpenQuestion holds

Textmetadata
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.