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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/67985858:_____/20:00534295

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ACS Omega

  • ISSN

    2470-1343

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    36

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    22750-22758

  • UT code for WoS article

    000572832600008

  • EID of the result in the Scopus database

    2-s2.0-85091950162