Evidence map›Paper›PMID 34614030›Full record

ArticlePloS one2021

Visualising household air pollution: Colorimetric sensor arrays for monitoring volatile organic compounds indoors.

Emer Duffy, Kati Huttunen, Roosa Lahnavik, Alan F Smeaton, Aoife Morrin

Abstract read
In one paragraph

Article in PloS one, 2021. 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.

Emer DuffyInsight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland.
Kati HuttunenDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.
Roosa LahnavikDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.
Alan F SmeatonInsight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland.ORCID 0000-0003-1028-8389
Aoife MorrinInsight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland.ORCID 0000-0002-3031-4794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indoor air quality monitoring as it relates to the domestic setting is an integral part of human exposure monitoring and health risk assessment. Hence there is a great need for easy to use, fast and economical indoor air quality sensors to monitor the volatile organic compound composition of the air which is known to be significantly perturbed by the various source emissions from activities in the home. To meet this need, paper-based colorimetric sensor arrays were deployed as volatile organic compound detectors in a field study aiming to understand which activities elicit responses from these sensor arrays in household settings. The sensor array itself is composed of pH indicators and aniline dyes that enable molecular recognition of carboxylic acids, amines and carbonyl-containing compounds. The sensor arrays were initially deployed in different rooms in a single household having different occupant activity types and levels. Sensor responses were shown to differ for different room settings on the basis of occupancy levels and the nature of the room emission sources. Sensor responses relating to specific activities such as cooking, cleaning, office work, etc were noted in the temporal response. Subsequently, the colorimetric sensor arrays were deployed in a broader study across 9 different households and, using multivariate analysis, the sensor responses were shown to correlate strongly with household occupant activity and year of house build. Overall, this study demonstrates the significant potential for this type of simple approach to indoor air pollution monitoring in residential environments.

Indexed as

ColorimetryAir Pollution, IndoorFamily CharacteristicsPrincipal Component AnalysisVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID34614030
PMCPMC8494322

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.