Online molecular characterisation of organic aerosols in an atmospheric chamber using extractive electrospray ionisation mass spectrometry
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Publication Date
2017-12-06Journal Title
Atmospheric Chemistry and Physics
ISSN
1680-7316
Volume
17
Issue
23
Pages
14485-14500
Type
Article
This Version
VoR
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Gallimore, P., Giorio, C., Mahon, B., & Kalberer, M. (2017). Online molecular characterisation of organic aerosols in an atmospheric chamber using extractive electrospray ionisation mass spectrometry. Atmospheric Chemistry and Physics, 17 (23), 14485-14500. https://doi.org/10.5194/acp-17-14485-2017
Abstract
The oxidation of biogenic volatile organic compounds (VOCs) represents a substantial source of secondary organic aerosol (SOA) in the atmosphere. In this study, we present online measurements of the molecular constituents formed in the gas and aerosol phases during α-pinene</span> oxidation in the Cambridge Atmospheric Simulation Chamber (CASC). We focus on characterising the performance of extractive electrospray ionisation (EESI) mass spectrometry (MS) for particle analysis. A number of new aspects of EESI-MS performance are considered here. We show that relative quantification of organic analytes can be achieved in mixed organic-inorganic particles. A comprehensive assignment of mass spectra for-pinene derived SOA in both positive and negative ion modes is obtained using an ultra-high-resolution mass spectrometer. We compare these online spectra to conventional offline ESI-MS spectra and find good agreement in terms of the compounds identified, without the need for complex sample work-up procedures. Under our experimental conditions, EESI-MS signals arise only from particle-phase analytes. High-Time-resolution (7min) EESI-MS spectra are compared with simulations from the near-explicit Master Chemical Mechanism (MCM) for a range of reaction conditions. We show that MS peak abundances scale with modelled concentrations for condensable products (pinonic acid, pinic acid, OH-pinonic acid). Relative quantification is achieved throughout SOA formation as the composition, size and mass (5-2400μgm-3) of particles is evolving. This work provides a robust demonstration of the advantages of EESI-MS for chamber studies over offline ESI-MS (time resolution, relative quantification) and over "hard" online techniques (molecular information).
Sponsorship
European Research Council (279405)
European Commission Horizon 2020 (H2020) Research Infrastructures (RI) (730997)
EPSRC (EP/K039520/1)
Identifiers
External DOI: https://doi.org/10.5194/acp-17-14485-2017
This record's URL: https://www.repository.cam.ac.uk/handle/1810/270383
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