Articles | Volume 22, issue 3
https://doi.org/10.5194/acp-22-1861-2022
https://doi.org/10.5194/acp-22-1861-2022
Research article
 | 
08 Feb 2022
Research article |  | 08 Feb 2022

Input-adaptive linear mixed-effects model for estimating alveolar lung-deposited surface area (LDSA) using multipollutant datasets

Pak Lun Fung, Martha A. Zaidan, Jarkko V. Niemi, Erkka Saukko, Hilkka Timonen, Anu Kousa, Joel Kuula, Topi Rönkkö, Ari Karppinen, Sasu Tarkoma, Markku Kulmala, Tuukka Petäjä, and Tareq Hussein

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Cited articles

Albuquerque, P. C., Gomes, J. F., and Bordado, J. C.: Assessment of exposure to airborne ultrafine particles in the urban environment of Lisbon, Portugal, J. Air Waste Manage., 62, 373–380, https://doi.org/10.1080/10962247.2012.658957, 2012. 
Amanatidis, S., Maricq, M. M., Ntziachristos, L., and Samaras, Z.: Application of the dual Pegasor Particle Sensor to real-time measurement of motor vehicle exhaust PM, J. Aerosol Sci., 103, 93–104, https://doi.org/10.1016/j.jaerosci.2016.10.005, 2017. 
Anjilvel, S. and Asgharian, B.: A multiple-path model of particle deposition in the rat lung, Fund. Appl. Toxicol., 28, 41–50, https://doi.org/10.1006/faat.1995.1144, 1995. 
Asbach, C., Fissan, H., Stahlmecke, B., Kuhlbusch, T., and Pui, D.: Conceptual limitations and extensions of lung-deposited Nanoparticle Surface Area Monitor (NSAM), J. Nanopart. Res., 11, 101–109, https://doi.org/10.1007/s11051-008-9479-8, 2009. 
Asbach, C., Alexander, C., Clavaguera, S., Dahmann, D., Dozol, H., Faure, B., Fierz, M., Fontana, L., Iavicoli, I., Kaminski, H., MacCalman, L., Meyer-Plath, A., Simonow, B., van Tongeren, M., and Todea, A. M.: Review of measurement techniques and methods for assessing personal exposure to airborne nanomaterials in workplaces, Sci. Total Environ., 603, 793–806, https://doi.org/10.1016/j.scitotenv.2017.03.049, 2017. 
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We developed an input-adaptive mixed-effects model, which was automatised to select the best combination of input variables, including up to three fixed effect variables and three time indictors as random effect variables. We tested the model to estimate lung-deposited surface area (LDSA), which correlates well with human health. The results show the inclusion of time indicators improved the sensitivity and the accuracy of the model so that it could serve as a network of virtual sensors.
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