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• W2988580537 endingPage "3431" @default.
• W2988580537 startingPage "3419" @default.
• W2988580537 abstract "ConspectusAirborne particles are very dynamic and highly reactive components of the Earth’s atmosphere. Their high surface area and water content provide a unique reaction environment for multiphase chemistry that continually modifies particle composition and properties that consequently impact air quality as well as concentrations of gas-phase species. By absorbing and scattering solar and terrestrial radiation, particles directly influence the planet’s radiative balance. Their indirect effects include modifying the nucleation, lifetime, and physical properties of clouds. Due to the sensitivity of the atmospheric environment to all these variables, fundamental studies of chemical transformations of atmospheric particles, their sources, continuously evolving composition, and physical properties are of highest research priority. Accurate descriptions of particles and their effects in the atmosphere require comprehensive information not only on the particle-type populations and their size distributions and concentrations, but also on the diversity and the spatial heterogeneity of chemical components within individual particles. Developments and applications of modern chemical imaging approaches for off-line characterization of atmospheric particles have been at the forefront of modern experimental studies and have resulted in a transformative impact in atmospheric chemistry and physics.This Account presents a synopsis of recent advances in chemical imaging of atmospheric particles collected on substrates during field and laboratory experiments. The unique advantage of chemical imaging methods is that they simultaneously provide two analytical measurements: imaging of particles to assess variability in their individual sizes and morphology, as well as particle-specific speciation of their composition and spatial heterogeneity of different chemical components within individual particles. We also highlight analytical chemistry approaches that enable chemical imaging of particles with different levels of elemental and molecular specificity, including applications of multimodal methodologies where the same or similar groups of particles are probed by two or more complementary techniques. These approaches provide unique experimental insights on the nature and sources of particles, understanding their physical properties, atmospheric reactivity, and transformations. Chemical imaging data provide unique experimental input for atmospheric models that simulate aging and changes in particle-type populations, internal composition, and their associated optical and cloud forming properties. We highlight applications of chemical imaging in selected recent studies, discuss their existing limitations, and forecast future research directions for this area." @default.
• W2988580537 created "2019-11-22" @default.
• W2988580537 creator A5032668969 @default.
• W2988580537 creator A5060153301 @default.
• W2988580537 creator A5090051567 @default.
• W2988580537 date "2019-11-12" @default.
• W2988580537 modified "2023-10-16" @default.
• W2988580537 title "Chemical Imaging of Atmospheric Particles" @default.
• W2988580537 cites W1480137180 @default.
• W2988580537 cites W1844239817 @default.
• W2988580537 cites W1922014061 @default.
• W2988580537 cites W1967934995 @default.
• W2988580537 cites W1968696455 @default.
• W2988580537 cites W1969734430 @default.
• W2988580537 cites W1977300122 @default.
• W2988580537 cites W1980023069 @default.
• W2988580537 cites W1984690533 @default.
• W2988580537 cites W1991934907 @default.
• W2988580537 cites W1997316769 @default.
• W2988580537 cites W1999581546 @default.
• W2988580537 cites W2004465047 @default.
• W2988580537 cites W2010113185 @default.
• W2988580537 cites W2017467460 @default.
• W2988580537 cites W2023212663 @default.
• W2988580537 cites W2043063888 @default.
• W2988580537 cites W2043437215 @default.
• W2988580537 cites W2044300545 @default.
• W2988580537 cites W2047324399 @default.
• W2988580537 cites W2053287784 @default.
• W2988580537 cites W2056159787 @default.
• W2988580537 cites W2057278576 @default.
• W2988580537 cites W2063724340 @default.
• W2988580537 cites W2065623307 @default.
• W2988580537 cites W2066401695 @default.
• W2988580537 cites W2070464942 @default.
• W2988580537 cites W2074538620 @default.
• W2988580537 cites W2075926799 @default.
• W2988580537 cites W2077050854 @default.
• W2988580537 cites W2077379198 @default.
• W2988580537 cites W2092752112 @default.
• W2988580537 cites W2099852381 @default.
• W2988580537 cites W2102580742 @default.
• W2988580537 cites W2107476980 @default.
• W2988580537 cites W2111322295 @default.
• W2988580537 cites W2118295252 @default.
• W2988580537 cites W2121934970 @default.
• W2988580537 cites W2129690090 @default.
• W2988580537 cites W2148798669 @default.
• W2988580537 cites W2159500470 @default.
• W2988580537 cites W2164011109 @default.
• W2988580537 cites W2165831326 @default.
• W2988580537 cites W2267231563 @default.
• W2988580537 cites W2285209547 @default.
• W2988580537 cites W2288620473 @default.
• W2988580537 cites W2312217418 @default.
• W2988580537 cites W2315430931 @default.
• W2988580537 cites W2334009317 @default.
• W2988580537 cites W2340813745 @default.
• W2988580537 cites W2345846299 @default.
• W2988580537 cites W2401849516 @default.
• W2988580537 cites W2423475414 @default.
• W2988580537 cites W2500451684 @default.
• W2988580537 cites W2503215111 @default.
• W2988580537 cites W2519522878 @default.
• W2988580537 cites W2535547627 @default.
• W2988580537 cites W2552138312 @default.
• W2988580537 cites W2559253440 @default.
• W2988580537 cites W2560782406 @default.
• W2988580537 cites W2613395202 @default.
• W2988580537 cites W2614250595 @default.
• W2988580537 cites W2748844949 @default.
• W2988580537 cites W2753489381 @default.
• W2988580537 cites W2753825726 @default.
• W2988580537 cites W2756472362 @default.
• W2988580537 cites W2762379956 @default.
• W2988580537 cites W2782871819 @default.
• W2988580537 cites W2784555771 @default.
• W2988580537 cites W2787173411 @default.
• W2988580537 cites W2790349864 @default.
• W2988580537 cites W2795087596 @default.
• W2988580537 cites W2800917283 @default.
• W2988580537 cites W2900001091 @default.
• W2988580537 cites W2923077877 @default.
• W2988580537 cites W3099856264 @default.
• W2988580537 cites W4211063889 @default.
• W2988580537 cites W591162477 @default.
• W2988580537 cites W7925918 @default.
• W2988580537 doi "https://doi.org/10.1021/acs.accounts.9b00396" @default.
• W2988580537 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31714061" @default.
• W2988580537 hasPublicationYear "2019" @default.
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