Our study presents a novel methodology that integrates multiple high-dimensional imaging techniques to enhance the characterization of air pollution particles. By combining SEM-EDX and ToF-SIMS data with multiway analysis, we address the challenges posed by heterogeneous particle composition and evolving pollution sources. This approach enables more precise source apportionment and a deeper understanding of PM characteristics, particularly in the context of changing vehicle emissions and urban air quality. The results demonstrate the potential of multiway techniques to unlock new insights into air pollution dynamics, paving the way for improved regulatory strategies and pollution mitigation efforts

This study investigated the optical properties of soluble BrC and its impact on climate. Fluorescence analysis was used to obtain the structural characteristics of soluble BrC, contributing to a deeper insight into its composition in urban areas. The findings provide valuable information to support future atmospheric research utilizing fluorescence analysis. Furthermore, this study will employ the PMF model to apportion emission sources and assess their relationship with BrC optical properties. This approach aims to improve our understanding of the contributions of various urban emission sources to climate change.

Biological aerosol particles, or bioaerosols, represent a significant portion of atmospheric particulate matter (PM) and can profoundly affect the chemical and physical properties of atmospheric aerosols. Interest in atmospheric bioaerosols has increased recently because of the effects bioaerosols have on global climate and human health. In the present study, extracts of common bioaerosols were aged with an oxidation flow reactor (OFR) and with H₂O₂ under UV-Vis light. The chemical analysis of organic species in fresh and aged bioaerosol samples was performed using Liquid Chromatography Mass Spectrometry (LC-MS) and Nuclear Magnetic Resonance Spectroscopy (¹H-NMR).

This study presents the first NMR-based seasonal analysis of organic aerosols in Mumbai, a tropical coastal megacity. PM₁₀, EC-OC, and NMR-derived functional groups were analyzed using high-resolution diurnal sampling. PM₁₀ peaked in winter afternoons due to meteorological factors, while summer recorded the lowest levels. EC-OC trends indicated biomass burning and secondary aerosol formation. NMR analysis revealed higher hydrocarbons in winter, with aliphatics dominating year-round. Oxygenated species peaked in winter, linked to stagnant conditions. Strong correlations between functional groups and EC-OC suggest seasonal variations in sources and processes. Advanced NMR analysis is ongoing for further insights

We characterize the chemical composition of particles from five wildfire plumes that reached the Jungfraujoch in 2023, using TOF-ACSM, AE33 and MAAP measurements. Organic aerosol (OA) dominated all biomass burning (BB) plumes, and the contribution to OA of m/z 60, a levoglucosan tracer, increases for these plumes. We also observe that the contribution of the m/z range 135-200 to OA increases during the BB plumes. A preliminary PMF source apportionment hints at a wildfire-specific BBOA factor in summer. Further work will focus on better separating the air masses and, consolidating the PMF and investigating more BB plumes.