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G. A. Isaacman

Researcher at University of California, Berkeley

Publications -  24
Citations -  1546

G. A. Isaacman is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Mass spectrometry & Gas chromatography. The author has an hindex of 16, co-authored 24 publications receiving 1341 citations.

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Elucidating secondary organic aerosol from diesel and gasoline vehicles through detailed characterization of organic carbon emissions

TL;DR: This work characterize the chemical composition, mass distribution, and organic aerosol formation potential of emissions from gasoline and diesel vehicles, and finds diesel exhaust is seven times more efficient at forming aerosol than gasoline exhaust.
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Organic aerosol composition and sources in Pasadena, California, during the 2010 CalNex campaign

TL;DR: In this paper, five organic aerosols (OA) components are identified using positive matrix factorization including hydrocarbon-like OA (HOA) and two types of oxygenated OA(OOA) components, and the Pasadena OA elemental composition when plotted as H:C versus O:C follows a line less steep than that observed for Riverside, CA.
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Lubricating Oil Dominates Primary Organic Aerosol Emissions from Motor Vehicles

TL;DR: A recently developed gas chromatography mass spectrometry approach utilizing "soft" vacuum ultraviolet photoionization is applied to achieve unprecedented chemical characterization of motor vehicle POA emissions in a roadway tunnel with a mass closure of >60%.
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Chemical Composition of Gas-Phase Organic Carbon Emissions from Motor Vehicles and Implications for Ozone Production

TL;DR: Gasoline sources are responsible for 69-96% of emissions and 79-97% of the ozone formation potential from gas-phase organic carbon emitted by motor vehicles, combined with data on gasoline and diesel fuel sales in the U.S.
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Improved resolution of hydrocarbon structures and constitutional isomers in complex mixtures using gas chromatography-vacuum ultraviolet-mass spectrometry.

TL;DR: In this paper, the authors used vacuum-ultraviolet (VUV) ionization to elucidate the structures of a traditionally "unresolved complex mixture" by separating components by GC retention time, t(R), and mass-to-charge ratio, m/z, which are used to determine carbon number, degree of saturation, presence of rings, and degree of branching, providing structural constraints.