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Nuclear magnetic resonance aerosolomics: A tool for analysis of polar compounds in atmospheric aerosols

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F20%3A43921920" target="_blank" >RIV/60461373:22340/20:43921920 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/67985858:_____/20:00534295

  • Výsledek na webu

    <a href="https://pubs.acs.org/doi/10.1021/acsomega.0c01634" target="_blank" >https://pubs.acs.org/doi/10.1021/acsomega.0c01634</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1021/acsomega.0c01634" target="_blank" >10.1021/acsomega.0c01634</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Nuclear magnetic resonance aerosolomics: A tool for analysis of polar compounds in atmospheric aerosols

  • Popis výsledku v původním jazyce

    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 1H 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. Copyright © 2020 American Chemical Society.

  • Název v anglickém jazyce

    Nuclear magnetic resonance aerosolomics: A tool for analysis of polar compounds in atmospheric aerosols

  • Popis výsledku anglicky

    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 1H 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. Copyright © 2020 American Chemical Society.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10406 - Analytical chemistry

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    ACS Omega

  • ISSN

    2470-1343

  • e-ISSN

  • Svazek periodika

    5

  • Číslo periodika v rámci svazku

    36

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    9

  • Strana od-do

    22750-22758

  • Kód UT WoS článku

    000572832600008

  • EID výsledku v databázi Scopus

    2-s2.0-85091950162