Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

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

Duffy, Emer orcid logoORCID: 0000-0003-4557-6487, Huttunen, Kati orcid logoORCID: 0000-0002-4888-9203, Lahnavik, Roosa, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 and Morrin, Aoife orcid logoORCID: 0000-0002-3031-4794 (2021) Visualising household air pollution: colorimetric sensor arrays for monitoring volatile organic compounds indoors. PLoS ONE, 16 (10). ISSN 1932-6203

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.
Item Type:Article (Published)
Subjects:Physical Sciences > Chemical detectors
Physical Sciences > Detectors
Physical Sciences > Environmental chemistry
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Institutes and Centres > National Centre for Sensor Research (NCSR)
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:Public Library of Science
Official URL:https://dx.doi.org/10.1371/journal.pone.0258281
Copyright Information:© 2021 The Authors. Open Access (CC-BY 4.0)
Funders:European Union’s Horizon 2020 Research and Innovation Programme programmes/horizon2020/) under the Marie Skłodowska-Curie, Science Foundation Ireland (SFI) Grant Number: SFI/12/RC/2289_P2, co-funded by the European Regional Development Fund
ID Code:27439
Deposited On:27 Jul 2022 11:35 by Thomas Murtagh . Last Modified 21 Oct 2022 09:49

Full text available as:

[thumbnail of journal.pone.0258281.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record