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Nontarget mass spectrometry and in silico molecular characterization of air pollution from the Indian subcontinent
Stockholm University, Faculty of Science, Department of Environmental Science. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0003-2538-8702
Stockholm University, Faculty of Science, Department of Environmental Science. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0002-9734-324X
Stockholm University, Faculty of Science, Department of Environmental Science. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0002-1598-7093
Stockholm University, Faculty of Science, Department of Environmental Science. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0003-4844-2919
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Number of Authors: 132022 (English)In: Communications Earth & Environment, E-ISSN 2662-4435, Vol. 3, no 1, article id 35Article in journal (Refereed) Published
Abstract [en]

A combination of high-resolution mass spectrometry and computational molecular characterization techniques can structurally annotate up to 17% of organic compounds in fine particulate matter in highly polluted air sampled in the Maldives. Fine particulate-matter is an important component of air pollution that impacts health and climate, and which delivers anthropogenic contaminants to remote global regions. The complex composition of organic molecules in atmospheric particulates is poorly constrained, but has important implications for understanding pollutant sources, climate-aerosol interactions, and health risks of air pollution exposure. Here, comprehensive nontarget high-resolution mass spectrometry was combined with in silico structural prediction to achieve greater molecular-level insight for fine particulate samples (n = 40) collected at a remote receptor site in the Maldives during January to April 2018. Spectral database matching identified 0.5% of 60,030 molecular features observed, while a conservative computational workflow enabled structural annotation of 17% of organic structures among the remaining molecular dark matter. Compared to clean air from the southern Indian Ocean, molecular structures from highly-polluted regions were dominated by organic nitrogen compounds, many with computed physicochemical properties of high toxicological and climate relevance. We conclude that combining nontarget analysis with computational mass spectrometry can advance molecular-level understanding of the sources and impacts of polluted air.

Place, publisher, year, edition, pages
2022. Vol. 3, no 1, article id 35
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Earth and Related Environmental Sciences
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URN: urn:nbn:se:su:diva-203210DOI: 10.1038/s43247-022-00365-1ISI: 000757847200001OAI: oai:DiVA.org:su-203210DiVA, id: diva2:1647802
Available from: 2022-03-28 Created: 2022-03-28 Last updated: 2022-09-15Bibliographically approved

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Papazian, StefanoD'Agostino, Lisa A.Sadiktsis, IoannisBonnefille, BénildeSdougkou, KalliroiXie, HongyuAthanassiadis, IoannisDasari, SanjeevAndersson, AugustGustafsson, ÖrjanMartin, Jonathan W.

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Papazian, StefanoD'Agostino, Lisa A.Sadiktsis, IoannisFroment, JeanBonnefille, BénildeSdougkou, KalliroiXie, HongyuAthanassiadis, IoannisDasari, SanjeevAndersson, AugustGustafsson, ÖrjanMartin, Jonathan W.
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Department of Environmental ScienceScience for Life Laboratory (SciLifeLab)
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