Research 2025

Exploring indoor PM2.5 pollution characteristics in Xi'an city and its health implications using interpretable machine learning

Z. Peng, J. Yang, J. Sun, et al. · Sustainable Horizons · DOI: 10.1016/j.horiz.2025.100131

Indoor Air Quality (IAQ) Monitor MAS-AF300

A two-week campaign in 12 Xi'an households combined indoor/outdoor PM2.5 with exhaled-NO and cytokine measurements and interpretable machine learning to characterise indoor PM2.5 sources and health effects.

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