PM₂.₅ Emissions from Office Laser Printers: Real-Time Exposure Assessment and Risk Mitigation

Authors

  • Oluwasayo Peter Abodunrin
    Department of Physical Sciences, Bells University of Technology, Ota, Nigeria.
  • Oluwaseun Dosunmu
    Department of Physics, Lagos State University of Education, Lagos, Nigeria.
  • Inioluwa Olowofila
    Department of Physical Sciences, Federal Polytechnic, Ilaro, Nigeria.
  • Oladipupo Olanrewaju
    Department of Physical Sciences, Bells University of Technology, Ota, Nigeria.
  • Augustine Kolapo Ademola
    Department of Physical Sciences, Bells University of Technology, Ota, Nigeria.

Keywords:

PM₂.₅ Emissions, Laser Printers, Heavy Metals, Occupational Exposure, Inhalation Risk Assessment, HEPA Filtration, Office Air Quality

Abstract

Laser printers are emerging sources of indoor air pollution, emitting fine particulate matter (PM₂.₅) and trace heavy metals. This study assessed exposure risks in 20 office environments using real-time PM₂.₅ monitoring and toner analysis. The PM₂.₅ levels were recorded with a TSI DustTrak DRX during work hours over two weeks. Toner types (OEM, compatible, remanufactured, drill-fill) were analyzed for Cu, Fe, Ni, Pb, and Cd via atomic absorption spectrophotometry. Risk assessments were based on U.S. EPA models. The PM₂.₅ concentrations ranged from 6.2 to 59.1 µg/m³ and correlated with print volume (r = 0.77). Lead and nickel were primary contributors to non-cancer (Hazard Quotient > 1) and cancer risks (up to 1.15 × 10⁻⁷). While metal levels in toner met regulatory limits, cumulative PM₂.₅ exposure raises concern. High-Efficiency Particulate Air (HEPA) filtration and use of low-metal toners reduced PM₂.₅ by 40% and lead exposure by 25%. Effective mitigation is essential in managing office air quality. Laser printers were identified as significant indoor sources of PM₂.₅ and trace metals, with risks strongly influenced by print volume and ventilation. Lead and nickel posed the greatest health concerns, while HEPA filtration and low-metal toners effectively reduced exposures.

Dimensions

Abodunrin, O. P. (2022). Spatial and temporal variation of particulate matter around Lagos environs. Nigerian Journal of Pure and Applied Sciences, 35(1), 4310–4321. https://doi.org/10.48198/NJPAS/22.A17

Agency for Toxic Substances and Disease Registry (ATSDR). (2019). Toxicological profile for heavy metals. https://www.atsdr.cdc.gov

Elango, N., Kasi, V., Ananth, S., Vembu, B., & Poornima, J. (2013). Occupational exposure to photocopiers and their toners causes genotoxicity. Human & Experimental Toxicology, 32(5), 493–499. https://doi.org/10.1177/0960327112466750

Eludoyin, O. S., & Ogbe, O. M. (2017). Assessment of heavy metal concentrations in pawpaw (Carica papaya Linn.) around automobile workshops in Port Harcourt Metropolis, Rivers State, Nigeria. Journal of Health and Pollution, 7(14), 48–61. https://doi.org/10.5696/2156-9614-7.14.48

Grosskopf, K. R. (2021). Mechanical ventilation and occupant exposure to fine particulates in commercial office buildings. Journal of Indoor and Built Environment, 30(6), 845–856. https://doi.org/10.1177/1420326X20984423

He, C., Morawska, L., & Taplin, L. (2007). Particle emission characteristics of office printers. Environmental Science & Technology, 41(17), 6039–6045. https://doi.org/10.1021/es063049c

Hu, X., Zhang, Y., Ding, Z., Wang, T., Lian, H., Sun, Y., & Wu, J. (2020). Bioaccessibility and health risk of arsenic, chromium, lead, and mercury in urban street dusts from three cities in China. Environmental Science and Pollution Research, 27(2), 1822–1834. https://doi.org/10.1007/s11356-019-06852-5

Ilenič, L., Pranjić, N., Zupančič, M., Milačič, R., & Ščančar, J. (2024). Influence of building ventilation and equipment use on indoor particulate matter concentrations in office spaces. Environmental Monitoring and Assessment, 196(3), 145–158. https://doi.org/10.1007/s10661-024-12345-z

Ko, H. S., Jeong, S. B., Phyo, S., Lee, J., & Jung, J. H. (2021). Emission of particulate and gaseous pollutants from household laser processing machine. Journal of Environmental Sciences, 103, 148–156. https://doi.org/10.1016/j.jes.2020.10.018

Kumar, A., Malyan, V., & Sahu, M. (2023). Air pollution control technologies for indoor particulate matter pollution: A review. Aerosol Science and Engineering, 7(2), 261–282. https://doi.org/10.1007/s41810-023-00178-5

Morawska, L., He, C., Johnson, G., Jayaratne, R., Salthammer, T., Wang, H., Uhde, E., Bostrom, T., & Modini, R. (2009). An investigation into the characteristics and formation mechanisms of particles originating from the operation of laser printers. Environmental Science & Technology, 43(4), 1015–1022. https://doi.org/10.1021/es802193n

Nakadate, T., Yamano, Y., & Tanaka, I. (2018). Characteristics of airborne particles released during laser printing. Journal of Occupational Health, 60(1), 55–64. https://doi.org/10.1539/joh.17-0112-FS

National Institute of Environmental Health Sciences. (2023). Air pollution and your health. https://www.niehs.nih.gov

Nibagwire, D., Ana, G. R. E. E., Kalisa, E., Twagirayezu, G., Kagabo, A. S., & Nsengiyumva, J. (2025). Exposure patterns of PM2.5 and CO concentrations in residential and commercial buildings: Factors influencing indoor air quality. Air Quality, Atmosphere & Health, 18(6), 1827–1843. https://doi.org/10.1007/s11869-025-01740-5

Office of Environmental Health Hazard Assessment. (2009). Air toxics hot spots risk assessment guidelines: Technical support document for cancer potency factors. California Environmental Protection Agency. https://oehha.ca.gov/air/crnr/technical-support-document-cancer-potency-factors-2009

Parthasarathy, P. (2021). Analytical methods for determining heavy metal concentrations in office dust and toner emissions. Journal of Environmental Health Research, 30(2), 105–115.

Pirela, S. V., Martin, J., Bello, D., & Demokritou, P. (2017). Nanoparticle exposures from nano-enabled toner-based printing equipment and human health: State of science and future research needs. Critical Reviews in Toxicology, 47(8), 683–709. https://doi.org/10.1080/10408444.2017.1318354

Singh, B. P., Mehra, K., Chowdhary, K., Khanna, C., Gautam, S., Chahal, S., Masih, J., & Gupta, J. (2025). Effect of meteorological parameters and air pollutants association with health risk assessment during the pandemic in Delhi, India. Discover Public Health, 22(1), 402. https://doi.org/10.1007/s44189-025-00292-1

Taiwo, T. M., Ogunbode, T. O., & Adekiya, A. O. (2025). Analysis of heavy metal absorption in plants from selected quarry sites in Osun State, Nigeria. Pollution, 11(3), 672–687. https://doi.org/10.22059/poll.2025.381355.2521

U.S. Environmental Protection Agency. (2004). Air quality criteria for particulate matter (Vols. I & II; EPA/600/P-99/002aF-bF). U.S. Environmental Protection Agency.

U.S. Environmental Protection Agency. (2011). Risk assessment guidance for Superfund: Volume I. Human health evaluation manual (Part F) (EPA-540-R-070-002). U.S. Environmental Protection Agency.

U.S. Environmental Protection Agency. (2024). Indoor air quality (IAQ). https://www.epa.gov/indoor-air-quality-iaq

Uzoho, P. N. (2025). Comparative assessment of filtration technologies for particulate reduction in Nigerian office buildings. African Journal of Environmental Science and Technology, 19(1), 45–55.

Vieira, R., Lee, J., & Okafor, D. (2025). Effectiveness of portable HEPA air purifiers in reducing indoor PM2.5 in shared workspaces. Indoor and Built Environment, 34(2), 210–221.

Wensing, M., Schripp, T., Uhde, E., & Salthammer, T. (2008). Ultra-fine particles release from hardcopy devices: Sources, real-room measurements and efficiency of filter accessories. Science of the Total Environment, 407(1), 418–427. https://doi.org/10.1016/j.scitotenv.2008.08.027

Zhang, L., Ou, C., Magana-Arachchi, D., Vithanage, M., Vanka, K. S., Palanisami, T., Masakorala, K., Wijesekara, H., Yan, Y., Bolan, N., & Kirkham, M. B. (2021). Indoor particulate matter in urban households: Sources, pathways, characteristics, health effects, and exposure mitigation. International Journal of Environmental Research and Public Health, 18(21), 11055. https://doi.org/10.3390/ijerph182111055

Zhu, S., Wang, X., Shi, N., & Lu, M. (2020). CEEMD-subset-OASVR-GRNN for ozone forecasting: Xiamen and Harbin as cases. Atmospheric Pollution Research, 11(4), 744–754. https://doi.org/10.1016/j.apr.2020.01.007

Zou, X., Wang, W., Lu, X., et al. (2020). Toxicological evaluation of fine particulate matter (PM2.5) collected from a printing room. Experimental and Therapeutic Medicine, 20(2), 1783–1792. https://doi.org/10.3892/etm.2020.8845

Published

2026-07-09

How to Cite

Abodunrin, O. P., Dosunmu, O., Olowofila, I., Olanrewaju, O., & Ademola, A. K. (2026). PM₂.₅ Emissions from Office Laser Printers: Real-Time Exposure Assessment and Risk Mitigation. Nigerian Journal of Physics, 35(4), 75-83. https://doi.org/10.62292/njp.v35i4.2026.644

How to Cite

Abodunrin, O. P., Dosunmu, O., Olowofila, I., Olanrewaju, O., & Ademola, A. K. (2026). PM₂.₅ Emissions from Office Laser Printers: Real-Time Exposure Assessment and Risk Mitigation. Nigerian Journal of Physics, 35(4), 75-83. https://doi.org/10.62292/njp.v35i4.2026.644

Most read articles by the same author(s)