Skip to main content
Search for Articles:
Tropical Aquatic and Soil Pollution
Share

Open Access Article

Assessment of Indoor Household Air Quality Using SentinAir's Cost-effective Sensor

by Francis Olawale Abulude 1 , Matthew Ojo Oluwafemi 2 , Kikelomo Mabinuola Arifalo 3 , Jamok Jacob Elisha 4 , Amoke Monisola Kenni 5
1 Science and Education Development Institute, Akure, Ondo State, Nigeria
2 Department of Horticulture and Landscape Technology, Federal College of Agriculture, Akure, Ondo State, Nigeria
3 Department of Chemistry, Bamidele Olumilua University of Education, Science and Technology, Ikere-Ekiti, Ekiti State, Nigeria
4 Centre for Biotechnology Research and Training, Ahmadu Bello University, Zaria, Nigeria
5 Department of Science Education, Bamidele Olumilua University of Education, Science and Technology, Ikere-Ekiti, Ekiti State, Nigeria

SUBMITTED: 17 October 2022; ACCEPTED: 02 January 2023; PUBLISHED: 5 January 2023

Submission to final decision takes 76 days.


Get rights and content
Creative Commons Attribution 4.0 International License

Abstract

Abstract

According to the World Health Organization, particulate matter (2.5 m) is responsible for more than 4 million deaths worldwide. In real-time, low-cost sensors have assisted in the measurement of PM indoors. SentiAir, a low-cost instrument used in this study, monitors particulate matter (1, 2.5, and 10), as well as nitrogen dioxide, sulphur dioxide, carbon dioxide, ozone, temperature, and relative humidity. The goal of this study was to place the sensor in a typical household indoor space and evaluate all variables for 30 days as an initial investigation assessment. The sensor's proper procedure was strictly observed. PM1 (17.80 μg/m3), PM2.5 (25.21 μg/m3), PM10 (27.61 μg/m3), CO2 (419.7 ppm), O3 (24.75 ppb), NO2 (66.52 ppb), SO2 (48.04 ppb), temperature (34.1 °C), and humidity were the results (mean) (64%). Once those findings were compared to those of the WHO, it was discovered that PM2.5 and PM10 were well within the 24-hour guideline values of 25 and 50 μg/m3, respectively. However, PM2.5 may pose a risk. Temperature and humidity had a significant impact on the PM and gases. Cooking, especially frying and baking, produced a great increment in PM indoors.

Creative Commons Attribution 4.0 International (CC BY 4.0) License
© 2023 Francis Olawale Abulude , Matthew Ojo Oluwafemi, Kikelomo Mabinuola Arifalo, Jamok Jacob Elisha, Abdulrasheed Yusuf. This is an open access article distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share and Cite

ACS Styles
APA Styles
Abulude , F. O., Oluwafemi, M. O., Arifalo, K. M., Elisha, J. J., & Kenni, A. M. (2023). Assessment of Indoor Household Air Quality Using SentinAir’s Cost-effective Sensor . Tropical Aquatic and Soil Pollution, 3(1), 15–23. https://doi.org/10.53623/tasp.v3i1.131
MLA Styles
Find Other Styles

Cohen, A.J.; Brauer, M.; Burnett, R.; Anderson, H.R.; Frostad, J.; Estep, K.; Balakrishnan, K.; Brunekreef, B.; Dandona, L.; Dandona, R.; Feigin, V.; Freedman, G.; Hubbell, B.; Jobling, A.; Kan, H.; Knibbs, L.; Liu, Y.; Martin, R.; Morawska, L.; Pope, C.A.; Shin, H.; Straif, K.; Shaddick, G.; Thomas, M.; Dingenen, R.V.; Donkelaar, A.; Vos, T.; Murray, C.J.L.; Forouzanfar, M.H. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. Lancet, 389. 1907–1918. https://doi.org/10.1016/S0140-6736(17)30505-6.

Schweizer, C.; Edwards, R.; Bayer-Oglesby, L.; Gauderman, W.J.; Ilacqua, V.; Jantunen, M.J.; Lai, H.K.; Nieuwenhuijsen, M.; Kunzli, N. (2007). Indoor time–microenvironment–activity patterns in seven regions of Europe. Journal of Exposure Science & Environmental Epidemiology, 17, 170–181. https://doi.org/10.1038/sj.jes.7500490.

Solomon, P.A.; Costantini, M.; Grahame, T.J.; Gerlofs-Nijland, M.E.; Cassee, F.R.; Russell, A.G.; Brook, J.R.; Hopke, P.K.; Hidy, G.; Phalen, R.F.; Saldiva, P.; Sarnat, S.E.; Balmes, J.R.; Tager, I.B.; Özkaynak, H.; Vedal, S.; Wietman, S.S.G.; Costa, D.L. (2012). Air pollution and health: bridging the gap from sources to health outcomes: conference summary. Air Quality, Atmosphere & Health 5, 9–62. https://doi.org/10.1007/s11869-011-0161-4.

Burden of disease from household air pollution for 2016. (accessed on 7 January 2020) Available online: https://www.who.int/airpollution/data/HAP_BoD_results_May2018_final.pdf.

WHO guidelines for indoor air quality: selected pollutants. (accessed on 7 January 2020) Available online: https://www.euro.who.int/__data/assets/pdf_file/0009/128169/e94535.pdf.

Rai, A.C.; Kumar, P.; Pilla, F.; Skouloudis, A.N.; Sabatino, S.D.; Ratti, C.; Yasar, A.; David, R. (2017). End-user perspective of low-cost sensors for outdoor air pollution monitoring. Science of the Total Environment, 607-608, 691–705. https://doi.org/10.1016/j.scitotenv.2017.06.266.

Liu, X.; Jayaratne, R.; Thai, P.; Kuhn, T.; Zing, I.; Christensen, B.; Lamont, R.; Dunbabin, M.; Zhu, S.; Gao, J.; Wainwright, D.; Neale, D.; Kan, R.; Kirkwood, J.; Morawska, L. (2020). Low-cost sensors as an alternative for long-term air quality monitoring. Environmental Research, 185, 109438. https://doi.org/10.1016/j.envres.2020.109438.

Chojer, H.; Branco, P.T.B.S.; Martins, F.G.; Alvim-Ferraz, M.C.M.; Sousa, S.I.V. (2020). Development of low-cost indoor air quality monitoring devices: Recent advancements, Science of the Total Environment, 727, 138385. https://doi.org/10.1016/j.scitotenv.2020.138385.

Mueller, M.; Meyer, J.; Hueglin, C. (2017). Design of an ozone and nitrogen dioxide sensor unit and its long-term operation within a sensor network in the city of Zurich. Atmospheric Measurement Techniques, 10, 3783–3799. https://doi.org/10.5194/amt-10-3783-2017.

Abulude, F.; Oluwafemi, M.; Arifalo, K. (2021). Indoor Household Air Quality Assessment: The case of the use of low cost sensor, Proceedings of the 2nd International Electronic Conference on Applied Sciences, 15–31 October 2021, MDPI: Basel, Switzerland. http://doi.org/10.3390/ASEC2021-11171.

Marzouk, M.; Atef, M. (2022). Assessment of Indoor Air Quality in Academic Buildings Using IoT and Deep Learning. Sustainability, 14, 7015. https://doi.org/10.3390/su14127015.

Gonzalo, F.d.A.; Griffin, M.; Laskosky, J.; Yost, P.; González-Lezcano, R.A. (2022). Assessment of Indoor Air Quality in Residential Buildings of New England through Actual Data. Sustainability 2022, 14, 739. https://doi.org/10.3390/su14020739.

Anand, A.; Phuleria, H.C. (2022). Assessment of indoor air quality and housing, household and health characteristics in densely populated urban slums. Environment, Development, Sustainability, 24, 11929–11952. https://doi.org/10.1007/s10668-021-01923-x

Alonso, M.J.; Moazami, T.; Liu, P.; Jørgensen, R.B.; Mathisen, H.M. (2022). Assessing the indoor air quality and their predictor variable in 21 home offices during the Covid-19 pandemic in Norway. Building and Environment, 225, 109580. https://doi.org/10.1016/j.buildenv.2022.109580.

Konstantinou, C.; Constantinou, A.; Kleovoulou, E.G.; Kyriacou, A.; Kakoulli, C.; Milis, G.; Michaelides, M.; Makris, K.C. (2022). Assessment of indoor and outdoor air quality in primary schools of Cyprus during the COVID-19 pandemic measures in May-July 2021. Heliyon, 8, e09354. https://doi.org/10.1016/j.heliyon.2022.e09354.

Mansor, A.A.; Hisham, A.N.B.; Abdullah, S.; Napi, N.N.L.M.; Ahmed, A.N.; Ismail, M. (2020). Indoor-Outdoor Air Quality Assessment in Nurseries. IOP Conference Series: Earth and Environmental Science, 616. 012001. https://doi.org/10.1088/1755-1315/616/1/012001.

Shiva Nagendra, S.M.; Sri Harika, P. (2010). Indoor Air Quality Assessment in a School Building in Chennai City, India. WIT Transactions on Ecology and the Environment. 136: 275-286. https://doi.org/10.2495/AIR100241.

Szafraniec, K; Drossinos, Y; Marelli, L; Borowiak, A; Lagier, F; Jimenez, J; Kieltyka, A. (2006). Exposure Assessment for Indoor Air Pollution Associated With Household Fuel Heating in Urban Environment. Epidemiology, 17, S363-S364. http://doi.org/10.1097/00001648-200611001-00966.

Muhamad-Darus, F.; Zain-Ahmed, A.; Latif, M.T. (2011). Preliminary Assessment of Indoor Air Quality in Terrace Houses. Health and the Environment Journal, 2, 8-14.

Oghenovo, I.; Benson, N.; Adedapo, A.; Fred-Ahmadu, O. (2019). Assessment of Particulate Matter (PM2.5) in Residential Staff Quarters of Covenant University, Nigeria. IOP Conference Series: Journal of Physics, 1299, 012101. https://doi.org/10.1088/1742-6596/1299/1/012101.

Hu, Y.; Yao, M.; Liu, Y.; Zhao, B. (2020). Personal exposure to ambient PM2.5, PM10, O3, NO2, and SO2 for different populations in 31 Chinese provinces. Environment International, 144, 106018. https://doi.org/10.1016/j.envint.2020.106018.

Suriano, D. (2020). SentinAir system software: A flexible tool for data acquisition from heterogeneous sensors and devices. SoftwareX, 12, 100589. https://doi.org/10.1016/j.softx.2020.100589.

Suriano, D. (2021). A portable air quality monitoring unit and a modular, flexible tool for on-field evaluation and calibration of low-cost gas sensors. HardwareX. 9, e00198. https://doi.org/10.17632/j.ohx.2021.e001981

Occupational Safety & Health Administration (OSHA). (accessed on 23rd July 2021) Available online: https://www.osha.gov/.

Owoade, O.K.; Olise, F.S.; Ogundele, L.T.; Fawole, O.G. and Olaniyi, H.B. (2012). Correlation between particulate matter concentrations and meteorological parameters at a site in Ile-Ife, Nigeria. Ife Journal of Science. 14, 83-93.

Xue, W.; Zhan, Q.; Zhang, Q.; Wu, Z. (2019). Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China. International Journal of Environmental Research and Public Health, 17, 136. https://doi.org/10.3390/ijerph17010136.

Article Metrics

For more information on the journal statistics, click here.