Identification of cement in atmospheric particulate matter using the hybrid method of laser diffraction analysis and Raman spectroscopy.

Autor: Kholodov A; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation.; Far East Geological Institute, Far Eastern Branch of Russian Academy of Sciences, 159 Pr-t 100-letiya Vladivostoka, Vladivostok, 690022, Russian Federation., Zakharenko A; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Drozd V; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Chernyshev V; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Kirichenko K; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Seryodkin I; Pacific Geographical Institute, Far Eastern Branch of Russian Academy of Sciences, 7 Radio Street, Vladivostok, 690041, Russian Federation., Karabtsov A; Far East Geological Institute, Far Eastern Branch of Russian Academy of Sciences, 159 Pr-t 100-letiya Vladivostoka, Vladivostok, 690022, Russian Federation., Olesik S; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Khvost E; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Vakhnyuk I; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Chaika V; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation., Stratidakis A; Environmental Health Engineering, University School of Advanced Studies IUSS, Pavia, Italy., Vinceti M; Department of Biomedical, Metabolical and Neurosciences, University of Modena and Reggio Emilia, Modena, Italy., Sarigiannis D; Environmental Health Engineering, University School of Advanced Studies IUSS, Pavia, Italy.; Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece., Hayes AW; College of Public Health, University of South Florida, Tampa, USA., Tsatsakis A; Laboratory of Toxicology, School of Medicine, University of Crete, Heraklion 71003, Greece., Golokhvast K; Far Eastern Federal University, 8 Sukhanova Street, Vladivostok 690950, Russian Federation.; Pacific Geographical Institute, Far Eastern Branch of Russian Academy of Sciences, 7 Radio Street, Vladivostok, 690041, Russian Federation.; Federal Research Center N. I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR), 42, 44 Bolshaya Morskaya Street, Saint-Petersburgh, 190121, Russian Federation.
Jazyk: angličtina
Zdroj: Heliyon [Heliyon] 2020 Feb 24; Vol. 6 (2), pp. e03299. Date of Electronic Publication: 2020 Feb 24 (Print Publication: 2020).
DOI: 10.1016/j.heliyon.2020.e03299
Abstrakt: The production of cement is associated with the emissions of dust and particulate matter, nitrogen oxides (NO x ), sulfur dioxide (SO 2 ), carbon monoxide (CO), heavy metals, and volatile organic compounds into the environment. People living near cement production facilities are potentially exposed to these pollutants, including carcinogens, although at lower doses than the factory workers. In this study we focused on the distribution of fine particulate matter, the composition, size patterns, and spatial distribution of the emissions from Spassk cement plant in Primorsky Krai, Russian Federation. The particulate matter was studied in wash-out from vegetation (conifer needles) using a hybrid method of laser diffraction analysis and Raman spectroscopy. The results showed that fine particulate matter (PM 10 fraction) extended to the entire town and its neighbourhood. The percentage of PM 10 in different areas of the town and over the course of two seasons ranged from 34.8% to 65% relative to other size fractions of particulate matter. It was further shown that up to 80% of the atmospheric PM content at some sampling points was composed of cement-containing particles. This links the cement production in Spassk-Dalny with overall morbidity of the town population and pollution of the environment.
(© 2020 The Authors.)
Databáze: MEDLINE
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