Počet záznamů: 1
Nuclear Magnetic Resonance Aerosolomics: A Tool for Analysis of Polar Compounds in Atmospheric Aerosols.
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SYSNO ASEP 0534295 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Nuclear Magnetic Resonance Aerosolomics: A Tool for Analysis of Polar Compounds in Atmospheric Aerosols. Tvůrce(i) Horník, Štěpán (UCHP-M) ORCID, RID, SAI
Sýkora, Jan (UCHP-M) RID, ORCID, SAI
Schwarz, Jaroslav (UCHP-M) RID, ORCID, SAI
Ždímal, Vladimír (UCHP-M) RID, ORCID, SAIZdroj.dok. ACS Omega. - : American Chemical Society - ISSN 2470-1343
Roč. 5, č. 36 (2020), s. 22750-22758Poč.str. 9 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova secondry organic aerosol ; chemical-composition ; dicarboxylic-acids Vědní obor RIV DI - Znečištění a kontrola vzduchu Obor OECD Environmental sciences (social aspects to be 5.7) CEP TK02010035 GA TA ČR - Technologická agentura ČR EF16_013/0001315 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Způsob publikování Open access Institucionální podpora UCHP-M - RVO:67985858 UT WOS 000572832600008 EID SCOPUS 85091950162 DOI 10.1021/acsomega.0c01634 Anotace Nuclear magnetic resonance aerosolomics was proposed as a new approach to the analysis of the water-soluble organic compound fraction in aerosol particulate matter. The identification of individual compounds is based on a comparison of precise chemical shifts in the H-1 NMR spectrum with the signals in the standards library. For this purpose, Chenomx metabolomics software and a comprehensive spectra library of 150 compounds known from chemistry of aerosols were used. This approach enabled the identification of 60 compounds in real aerosol samples collected at a suburban site in Prague. Using the metabolomic spectra library, three new compounds were identified in aerosols for the first time, and an association of four other compounds to the atmospheric particulate matter was confirmed. The obtained concentration profiles of all identified chemical individuals were subsequently subjected to advanced statistical analysis. NMR aerosolomics clearly differentiates between summer and winter aerosol samples via multivariate statistical analysis and revealed some interesting trends in composition, according to aerosol particle size. Furthermore, the univariate statistical analysis was applied to highlight compounds responsible for the group separation, and possible sources of these compounds were suggested. Pracoviště Ústav chemických procesů Kontakt Eva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227 Rok sběru 2021 Elektronická adresa https://pubs.acs.org/doi/pdf/10.1021/acsomega.0c01634
Počet záznamů: 1