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Regular Articles

An Instrumental Comparison of Mobility and Mass Measurements of Atmospheric Small Ions

, , , , , , , , , , , , & show all
Pages 522-532 | Received 01 Jul 2010, Accepted 17 Oct 2010, Published online: 18 Jan 2011
 

Abstract

Ambient, naturally charged small ions (<2000 Da) were measured in Hyytiälä, Finland, with a mass spectrometer (atmospheric pressure interface time-of-flight, APi-TOF) and two mobility spectrometers (air ion spectrometer, AIS, and balanced scanning mobility analyzer, BSMA). To compare these different instrument types, a mass/mobility conversion and instrumental transfer functions are required to convert high-resolution mass spectra measured by the APi-TOF into low-resolution mobility spectra measured by the AIS and BSMA. A modified version of the Stokes-Millikan equation was used to convert between mass and mobility. Comparison of APi-TOF and BSMA results showed good agreement, especially for sizes above 200 Da (Pearson's R = 0.7–0.9). Below this size, agreement was fair, and broadening BSMA transfer functions improved the correlation. To achieve equally good agreement between APi-TOF and AIS, AIS results needed to be shifted by 1–1.5 mobility channels. The most likely cause was incorrect sizing in the AIS. In summary, the mass and mobility spectrometers complement each other, with the APi-TOF giving superior chemical information, limited to relatively small ions (<2.5 nm diameter), whereas the mobility spectrometers are better suited for quantitative concentration measurements up to 40 nm. The BSMA and AIS were used to infer a transmission function for the APi-TOF, making it possible to give quantitative estimates of the concentrations of detected chemical ions.

Acknowledgments

This work has been supported by the European Commission 6th Framework program project EUCAARI (contract no 036833-2), Advanced Grant EU-FP7-ATMNUCLE (project no 227463), and by the Academy of Finland Center of Excellence program (project no 1118615). S. S. and A. F. were supported by the European Community under the FP7 Marie Curie Initial Training Network CLOUD-ITN (PITN-GA-2008-215072).

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