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      New Reactions for the Formation of Organic Nitrate in the Atmosphere

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      ACS Omega
      American Chemical Society

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          Abstract

          Organic nitrates make an important contribution to the formation of secondary organic aerosols, but the formation mechanisms of organic nitrates are not fully understood at the molecular level. In the present work, we explore a new route for the formation of organic nitrates in the reaction of formaldehyde (HCHO) with nitric acid (HNO 3) catalyzed by water (H 2O), ammonia (NH 3), and dimethylamine ((CH 3) 2NH) using theoretical methods. The present results using CCSD(T)-F12a/cc-pVTZ-F12//M06-2X/MG3S unravel that dimethylamine has a stronger catalytic ability in the reaction of HCHO with HNO 3, reducing the barrier by 21.97 kcal/mol, while water and ammonia only decrease the energy barrier by 7.35 and 13.56 kcal/mol, respectively. In addition, the calculated kinetics combined with the corresponding concentrations of these species show that the HCHO + HNO 3 + (CH 3) 2NH reaction can compete well with the naked HCHO + HNO 3 reaction at 200–240 K, which may make certain contributions to the formation of organic nitrates under some atmospheric conditions.

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          The M06 suite of density functionals for main group thermochemistry, thermochemical kinetics, noncovalent interactions, excited states, and transition elements: two new functionals and systematic testing of four M06-class functionals and 12 other functionals

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            Evolution of organic aerosols in the atmosphere.

            Organic aerosol (OA) particles affect climate forcing and human health, but their sources and evolution remain poorly characterized. We present a unifying model framework describing the atmospheric evolution of OA that is constrained by high-time-resolution measurements of its composition, volatility, and oxidation state. OA and OA precursor gases evolve by becoming increasingly oxidized, less volatile, and more hygroscopic, leading to the formation of oxygenated organic aerosol (OOA), with concentrations comparable to those of sulfate aerosol throughout the Northern Hemisphere. Our model framework captures the dynamic aging behavior observed in both the atmosphere and laboratory: It can serve as a basis for improving parameterizations in regional and global models.
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              Organic aerosol and global climate modelling: a review

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                Author and article information

                Journal
                ACS Omega
                ACS Omega
                ao
                acsodf
                ACS Omega
                American Chemical Society
                2470-1343
                24 October 2022
                08 November 2022
                : 7
                : 44
                : 39671-39679
                Affiliations
                []Department of Physics, Guizhou University , Guiyang550025, China
                []College of Materials Science and Engineering, Guizhou Minzu university , Guiyang550025, China
                Author notes
                Author information
                https://orcid.org/0000-0002-9358-2585
                Article
                10.1021/acsomega.2c03321
                9647854
                36385897
                524558b9-2ddb-445e-9a6e-d28a31fe9b43
                © 2022 The Authors. Published by American Chemical Society

                Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works ( https://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 27 May 2022
                : 30 September 2022
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 11964004
                Funded by: Department of Education of Guizhou Province, doi 10.13039/501100010828;
                Award ID: KY[2021]014
                Funded by: Guizhou Science and Technology Department, doi 10.13039/501100004001;
                Award ID: [2019]5648
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 91961123
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 42120104007
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 41775125
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                ao2c03321
                ao2c03321

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