| Literature DB >> 32870663 |
Chunlin Li1, Quanfu He1, Zheng Fang1, Steven S Brown2,3, Alexander Laskin4, Sidney R Cohen5, Yinon Rudich1.
Abstract
Transformations of biomass burning brown carbon aerosols (BB-BrC) over their diurnal lifecycle are currently not well studied. In this study, the aging of BB tar proxy aerosols processed by NO3• under dark conditions followed by the photochemical OH• reaction and photolysis were investigated in tandem flow reactors. The results show that O3 oxidation in the dark diminishes light absorption of wood tar aerosols, resulting in higher particle single-scattering albedo (SSA). NO3• reactions augment the mass absorption coefficient (MAC) of the aerosols by a factor of 2-3 by forming secondary chromophores, such as nitroaromatic compounds (NACs) and organonitrates. Subsequent OH• oxidation and direct photolysis both decompose the organic nitrates (ONs, representing bulk functionalities of NACs and organonitrates) in the NO3•-aged wood tar aerosols, thus decreasing particle absorption. Moreover, NACs degrade faster than organonitrates by photochemical aging. The NO3•-aged wood tar aerosols are more susceptible to photolysis than to OH• reactions. The photolysis lifetimes for the ONs and for the absorbance of the NO3•-aged aerosols are on the order of hours under typical solar irradiation, while the absorption and ON lifetimes toward OH• oxidation are substantially longer. Overall, nighttime aging via NO3• reactions increases the light absorption of wood tar aerosols and shortens their absorption lifetime under daytime conditions.Entities:
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Year: 2020 PMID: 32870663 PMCID: PMC7547865 DOI: 10.1021/acs.est.0c04310
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028
Figure 1HR-ToF-AMS measurements of wood tar aerosol aging via various reaction pathways. (A) Normalized fragment compositions of fresh and aged wood tar aerosols following O3 and NO3• reactions, OH• photochemical oxidation (EAD-1.0 to EAD-7.2), and photolysis (WP and SP symbolize Weak and Strong photolysis, respectively). (B) Particulate nitrate (fHR-NO3) formation as a function of the bulk organic O/C ratio, the marker size increases with NO2+/NO+ ratios in the range 0.19–0.44. HR-NO3 measures the organic nitrate (-ONO3) and nitro (-NO2) functionalities only. (C) Van Krevelen diagram shows the aerosol elemental changes with aging (H/C vs O/C). (D) Plot of normalized mass spectrum signals at m/z-44 (CO2+, f44) and m/z-43 (C2H3O+, f43) to trace the oxygenation degree of the organic aerosol. The triangular region (dashed lines) indicates the ambient oxygenated organic aerosol (OOA), which can be further classified into less-oxidized OOA (LO-OOA) and more-oxidized OOA (MO-OOA) with a critical value of 0.12 for f44.[37] (E) Plot of f44 vs normalized fragments at m/z-60 (C2H4O2+, f60). Ambient biomass burning organic aerosols commonly fall inside the triangular region defined by the gray dashed lines.[38] Scheme of the multiple-reaction pathways in a square-chart are added to (D) and (E).
Figure 2FTIR spectra of fresh and processed wood tar aerosols. (A) Chemical transformations of wood tar aerosols via O3 and NO3• reactions. (B) NO3•-aged wood tar aerosol following photochemical oxidation (EAD-7.2, OHexp: 9.3 × 1011 molecule cm–3 s, and equivalent to 7.2 days of atmospheric OH• aging) and Strong photolysis (254 nm UV light exposure: 9.3 × 1016 photon cm–2 and equivalent to about 2.5 h of ambient solar photolysis). The signals were normalized to an integrated area of the entire spectrum. Typical absorption peaks corresponding to specific chemical bonds were identified and marked. Absorption peaks for RONO2 and Ar-NO2 were convoluted on the basis of fresh wood tar aerosol spectra (right axis).
Figure 3Optical evolution of wood tar aerosols through various atmospheric aging processes, including O3 and NO3• reactions in the dark (gray area: nighttime aging simulation) and photochemical transformation of NO3•-aged wood tar aerosols (yellow area: daytime photochemical simulation). (A) Continuous wavelength-dependent complex real refractive index (RI) as a function of atmospheric transformation. (B) Continuous wavelength-dependent complex imaginary RI as a function of atmospheric evolution (left y-axis). Absorption Ångström exponent (AAE) was derived to indicate the wavelength dependence of light absorption (right y-axis). (C) Wavelength-dependent single-scattering albedo (SSA) was estimated based on retrieved RIs for wood tar particles at 200 nm. (D) Changes of the wavelength-weighted mean mass absorption coefficient (MAC, m2 g–1) for wood tar aerosols via various atmospheric aging processes. Two categories are shown: near UV absorption (330–400 nm) and visible absorption (400–550 nm). Uncertainties for each RI and SSA distributions (±0.005 for the real part, ±0.006 for the imaginary part, and ±0.013 for the SSA on average from 330 to 550 nm) are not presented for clarity.