Chemical Composition and Free Radical Content during Saharan Dust episode in SE Poland

Abstract

This study aimed to verify whether Saharan dust reached south-eastern Poland in spring 2025 and to assess its influence on the chemical composition and oxidative po-tential of particulate matter. Using an ultra-sensitive Dekati instrument, aerosols were measured across fifteen size fractions (6 nm–10 µm), enabling the detection particulate matter even in the finest particles — a feature not previously documented for Saharan dust. Electron paramagnetic resonance spectroscopy was used to quantitatively deter-mine and identify radicals associated with different PM fractions. The analysis revealed a high content of ultrafine particulate matter (<1 µm), which may pose a potential risk to human health. The chemical composition of the particulate matter confirmed the long-range transport of Saharan dust over SE Poland at the beginning of March 2025. EPR measurements indicated a relatively large amount of pollutants that exhibited magnetic properties, which were not detected in the control samples. The use of ad-vanced measurement instrumentation enabled the detection of ultrafine fractions and the identification of free radicals associated with Saharan dust, providing new insight into its oxidative potential and chemical reactivity.

Description

Samples of air pollution collected with a Dekati Electrical Low Pressure Impactor (ELPI+, Dekati Ltd., Finland). RAW data: [ELPI-DATA FILE], [E+26517] - ascii file Images from a high-resolution scanning electron microscope SEM Helios 650 Nanolab manufactured by FEI. RAW data: images files. Electron paramagnetic resonance (EPR) measurments on X-band (ν ≈ 9.4 GHz) with modulation of the magnetic field at 100 kHz, by a Bruker multifrequency and multiresonance FT-EPR ELEXSYS E580 spectrometer. RAW data: Bruker B3ST files.

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Attribution-NonCommercial-NoDerivatives 4.0 International

Research funding institutions

This research was supported by the Minister of Science of the Republic of Poland under the Programme „Regional initiative of excellence”. Agreement No. RID/SP/0010/2024/1.

Type

raw dataset