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Toward a molecular understanding of the surface composition of atmospherically relevant organic particles.
Qin, Y; Wingen, L M; Finlayson-Pitts, B J.
Affiliation
  • Qin Y; Department of Chemistry, University of California, Irvine, CA, 92697-2025.
  • Wingen LM; Department of Chemistry, University of California, Irvine, CA, 92697-2025.
  • Finlayson-Pitts BJ; Department of Chemistry, University of California, Irvine, CA, 92697-2025.
Proc Natl Acad Sci U S A ; 119(35): e2209134119, 2022 08 30.
Article in En | MEDLINE | ID: mdl-35994653
ABSTRACT
Many mass spectrometry methods using various ionization sources provide bulk composition of airborne particles, but little is known about the surface species that play a major role in determining their physicochemical properties that impact air quality, climate, and health. The present work shows that the composition of surface layers of atmospherically relevant submicron organic particles can be probed without the use of an external ionization source. Solid dicarboxylic acid particles are used as models, with glutaric acid being the most efficient at generating ions. Coating with small diacids or products from α-pinene ozonolysis demonstrates that ions are ejected from the surface, providing surface molecular characterization of organic particles on the fly. This unique approach provides a path forward for elucidating the role of the surface in determining chemical and physical properties of particles, including heterogeneous reactions, particle growth, water uptake, and interactions with biological systems.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Organic Chemicals / Atmosphere / Mass Spectrometry / Surface Properties / Air Pollution Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Organic Chemicals / Atmosphere / Mass Spectrometry / Surface Properties / Air Pollution Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2022 Document type: Article