Emission of airborne nanoparticles from electric motors of household appliances.

Yevgen Nazarenko, Elliot Zolfaghar, Devendra Pal, Léa Quellard, Parisa A Ariya

Abstract read

In one paragraph

Article in Air quality, atmosphere, & health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yevgen NazarenkoDepartment of Environmental and Public Health Sciences, University of Cincinnati, 160 Panzeca Way, Cincinnati, OH 45267 USA.ORCID 0000-0001-8694-3373

Elliot ZolfagharDepartment of Chemistry, McGill University, 801 Sherbrooke Street West, Montréal, QC H3A 2K6 Canada.ORCID 0009-0003-2720-5209

Devendra PalDepartment of Atmospheric and Oceanic Sciences, McGill University, 805 Sherbrooke Street West, Montreal, QC H3A 0B9 Canada.ORCID 0000-0002-9595-3933

Léa QuellardDepartment of Atmospheric and Oceanic Sciences, McGill University, 805 Sherbrooke Street West, Montreal, QC H3A 0B9 Canada.ORCID 0000-0002-3860-7233

Parisa A AriyaDepartment of Chemistry, McGill University, 801 Sherbrooke Street West, Montréal, QC H3A 2K6 Canada.ORCID 0000-0001-5269-5017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticulate (ultrafine particle) indoor air pollution is an emerging concern. Evidence points to airborne nanoparticles' potential adverse effects, including the impact on blood pressure, the pulmonary and cardiovascular systems, cognitive performance, oxidative stress, allergen sensitization, and inflammation. Nanoparticles originate from various sources. However, no study to date investigated emissions of nanoparticles and fine particles from electric motors in household appliances, ubiquitous indoors. This study fills this knowledge gap with an investigation of incidental emission of aerosol particles from seven electric motors taken from household appliances. The appliances were made by several different manufacturers and tested at the respective appliance's maximum and minimum power settings as intended for use by the consumer. Aerosols were continuously measured and characterized during 24-hour measurement periods using a NanoScan scanning mobility particle sizer (SMPS). Two of the seven motors (AP B and AP G) emitted very few particles, with an average total number concentration below 10 cm Supplementary Information: The online version contains supplementary material available at 10.1007/s11869-025-01744-1.

Indexed as

Air pollutionElectric motorsIndoor airNanoaerosolsNanoparticlesUltrafine particles

Identifiers

PMID40814336

DOI10.1007/s11869-025-01744-1

PMCPMC12343712

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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.