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NMR AEROSOLOMICS: AN OVERVIEW
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SYSNO ASEP 0566928 Document Type A - Abstract R&D Document Type The record was not marked in the RIV R&D Document Type Není vybrán druh dokumentu Title NMR AEROSOLOMICS: AN OVERVIEW Author(s) Horník, Štěpán (UCHP-M) ORCID, RID, SAI
Vodička, Petr (UCHP-M) RID, ORCID, SAI
Pokorná, Petra (UCHP-M) ORCID, RID, SAI
Schwarz, Jaroslav (UCHP-M) RID, ORCID, SAI
Ždímal, Vladimír (UCHP-M) RID, ORCID, SAI
Sýkora, Jan (UCHP-M) RID, ORCID, SAIArticle number SE-9 Source Title Book of Abstracts. - Zagreb : Croatian Chemical Society, 2022 / Bregović N. ; Namjesnik D. ; Novak P. ; Vuković J.P. - ISBN 978-953-8334-04-7
S. 62Number of pages 1 s. Publication form Online - E Action Magnetic Moments in Central Europe 2022 Event date 01.06.2022 - 04.06.2022 VEvent location Primošten Country HR - Croatia Event type EUR Language eng - English Country HR - Croatia Keywords NMR aerosolomics ; atmospheric aerosol ; suburban site OECD category Environmental sciences (social aspects to be 5.7) R&D Projects TK02010035 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) LM2018122 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GC20-08304J GA ČR - Czech Science Foundation (CSF) Institutional support UCHP-M - RVO:67985858 Annotation NMR Aerosolomics offers a different analysis approach of water-soluble organic compounds (WSOCs) from complex aerosol mixtures, inspired by the profiling of substances in metabolomics. To this end, an extensive library of compounds commonly found in atmospheric aerosols was created. The method was evaluated on a set of 21 samples of aerosol particulate matter (PM2.5 and PM10) collected in summer 2008 and winter 2009 at a Prague suburban site. Approximately 60 compounds were identified in each sample. Three compounds were identified for the first time in atmospheric aerosols and the presence of four other theoretically predicted species was confirmed. In total, the number of identified compounds reached 79. The concentration values of the identified compounds were then used for statistical analysis. A clear differentiation between summer and winter samples was obtained, while separation by particle size was indicated only in the group of summer samples. Univariate statistical analysis revealed which compounds were responsible for the group separation, and possible sources for these compounds were suggested. Workplace Institute of Chemical Process Fundamentals Contact Eva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227 Year of Publishing 2023
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