The sensitivity of benzene cluster cation chemical ionization mass spectrometry to select biogenic terpenes
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Authors
Bertram, Timothy
Lavi, Avi
Novak, Gordon
Vermeuel, Michael
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DOI
https://doi.org/10.5194/amt-11-3251-2018
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Atmos. Meas. Tech., Published by Copernicus Publications on behalf of the European Geosciences Union.
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Abstract
Benzene cluster cations are a sensitive and selective reagent ion for chemical ionization of select biogenic volatile organic compounds. We have previously reported the sensitivity of a field deployable chemical ionization time-of-flight mass spectrometer (CI-ToFMS), using benzene cluster cation ion chemistry, for detection of dimethyl sulfide, isoprene and α-pinene. Here, we present laboratory measurements of the sensitivity of the same instrument to a series of terpenes, including isoprene, α-pinene, β-pinene, D-limonene, ocimene, β-myrcene, farnesene, α-humulene, β-caryophyllene, and isolongifolene at atmospherically relevant mixing ratios (< 100 pptv). In addition, we determine the dependence of CI-ToFMS sensitivity on the reagent ion neutral delivery concentration and water vapor concentration. We show that isoprene is primarily detected as an adduct (C5H8 ⋅ C6H+6) with a sensitivity ranging between 4 and 10 ncps ppt−1, which depends strongly on the reagent ion precursor concentration, de-clustering voltages, and specific humidity (SH). Monoterpenes are detected primarily as the molecular ion (C10H+16) with an average sensitivity, across the five measured compounds, of 14 ± 3 ncps ppt−1 for SH between 7 and 14 g kg−1, typical of the boreal forest during summer. Sesquiterpenes are detected primarily as the molecular ion (C15H+24) with an average sensitivity, across the four measured compounds, of 9.6 ± 2.3 ncps ppt−1, that is also independent of specific humidity. Comparable sensitivities across broad classes of terpenes (e.g., monoterpenes and sesquiterpenes), coupled to the limited dependence on specific humidity, suggest that benzene cluster cation CI-ToFMS is suitable for field studies of biosphere–atmosphere interactions.
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The datasets used in the Lavi et al publication are included here.
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Citation
Lavi et al., Atmos. Meas. Tech., 11, 3251–3262, 2018
Sponsorship
This work was supported by a National Science Foundation (NSF) CAREER Award (grant no. AGS-1151430) and the Office of Science (Office of Biological and Environmental Research), U.S. Department of Energy (grant no. DE-SC0006431). Avi Lavi gratefully acknowledges support from the Dreyfus Foundation Environmental Chemistry Postdoctoral Fellowship Program.