Articles | Volume 24, issue 12
https://doi.org/10.5194/acp-24-7261-2024
https://doi.org/10.5194/acp-24-7261-2024
Research article
 | 
26 Jun 2024
Research article |  | 26 Jun 2024

Unveiling the optimal regression model for source apportionment of the oxidative potential of PM10

Vy Dinh Ngoc Thuy, Jean-Luc Jaffrezo, Ian Hough, Pamela A. Dominutti, Guillaume Salque Moreton, Grégory Gille, Florie Francony, Arabelle Patron-Anquez, Olivier Favez, and Gaëlle Uzu

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Cited articles

Akhtar, McWhinney, R. D., Rastogi, N., Abbatt, J. P. D., Evans, G. J., and Scott, J. A.: Cytotoxic and proinflammatory effects of ambient and source-related particulate matter (PM) in relation to the production of reactive oxygen species (ROS) and cytokine adsorption by particles, Inhal. Toxicol., 22, 37–47, https://doi.org/10.3109/08958378.2010.518377, 2010. 
Akhtar, A., Islamia, J. M., Masood, S., Islamia, J. M., Masood, A., and Islamia, J. M.: Prediction and Analysis of Pollution Levels in Delhi Using Multilayer Perceptron, Adv. Intell. Syst., 542, 563–572, https://doi.org/10.1007/978-981-10-3223-3, 2018. 
Ayres, J. G., Borm, P., Cassee, F. R., Castranova, V., Donaldson, K., Ghio, A., Harrison, R. M., Hider, R., Kelly, F., Kooter, I. M., Marano, F., Maynard, R. L., Mudway, I., Nel, A., Sioutas, C., Smith, S., Baeza-Squiban, A., Cho, A., Duggan, S., and Froines, J.: Evaluating the toxicity of airborne particulate matter and nanoparticles by measuring oxidative stress potential – A workshop report and consensus statement, Inhal. Toxicol., 20, 75–99, https://doi.org/10.1080/08958370701665517, 2008. 
Bates, J. T., Weber, R. J., Abrams, J., Verma, V., Fang, T., Klein, M., Strickland, M. J., Sarnat, S. E., Chang, H. H., Mulholland, J. A., Tolbert, P. E., and Russell, A. G.: Reactive Oxygen Species Generation Linked to Sources of Atmospheric Particulate Matter and Cardiorespiratory Effects, Environ. Sci. Technol., 49, 13605–13612, https://doi.org/10.1021/acs.est.5b02967, 2015. 
Bates, J. T., Weber, R. J., Verma, V., Fang, T., Ivey, C., Liu, C., Sarnat, S. E., Chang, H. H., Mulholland, J. A., and Russell, A.: Source impact modeling of spatiotemporal trends in PM2.5 oxidative potential across the eastern United States, Atmos. Environ., 193, 158–167, https://doi.org/10.1016/j.atmosenv.2018.08.055, 2018. 
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Short summary
The capacity of particulate matter (PM) to generate reactive oxygen species in vivo is represented by oxidative potential (OP). This study focuses on finding the appropriate model to evaluate the oxidative character of PM sources in six sites using the PM sources and OP. Eight regression techniques are introduced to assess the OP of PM. The study highlights the importance of selecting a model according to the input data characteristics and establishes some recommendations for the procedure.
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