Overview of measurements and current instrumentation for 1–10 nm aerosol particle number size distributions
Abstract
Interest in understanding gas-to-particle phase transformation in several disciplines such as atmospheric sciences, material synthesis, and combustion has led to the development of several distinct instruments that can measure the particle size distributions down to the sizes of large molecules and molecular clusters, at which the initial particle formation and growth takes place. These instruments, which include the condensation particle counter battery, a variety of electrical mobility spectrometers and the particle size magnifier, have been usually characterized in laboratory experiments using carefully prepared calibration aerosols. They are then applied, alone or in combination, to study the gas-to-particle transition in experiments that produce particles with a wide range of compositions and other properties. Only a few instrument intercomparisons in either laboratory or field conditions have been reported, raising the question: how accurately can the sub-10 nm particle number size distributions be measured with the currently available instrumentation? Here, we review previous studies in which sub-10 nm particle size distributions have been measured with at least two independent instruments. We present recent data from three sites that deploy the current state-of-the-art instrumentation: Hyytiälä, Beijing, and the CLOUD chamber. After discussing the status of the sub-10 nm size distribution measurements, we present a comprehensive uncertainty analysis for these methods that suggests that our present understanding on the sources of uncertainties quite well captures the observed deviations between different instruments in the size distribution measurements. Finally, based on present understanding of the characteristics of a number of systems in which gas-to-particle conversion takes place, and of the instrumental limitations, we suggest guidelines for selecting suitable instruments for various applications.
Additional Information
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. Received 15 November 2019, Revised 29 April 2020, Accepted 9 May 2020, Available online 30 May 2020. We are indebted for the anonymous reviewer for the extensive, insightful and detailed reviews. This work was supported by UHEL Faculty of Science support grant (75284140) and 3-year grant (75284132), Finnish Academy of Science projects (1325656, 1306853 and 1296628), Academy of Finland Center of Excellence in Atmospheric Sciences (272041), ERC Grant NANODYNAMITE (616075), ERC grant ATM-GTP (742206), National Key R&D Program of China (2017YFC0209503), National Science Foundation of China (21876094), Pusan National University Research Grant, 2018, National Research Foundation of Korea (NRF-2019R1F1A1058854), and the European Union's Horizon 2020 research and innovation programme under grant agreement No 654109 and previously from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement n° 262254.Attached Files
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Supplemental Material - 1-s2.0-S0021850220300732-mmc1.docx
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Additional details
- Eprint ID
- 103601
- Resolver ID
- CaltechAUTHORS:20200601-131656962
- University of Helsinki
- 75284140
- University of Helsinki
- 75284132
- Finnish Academy of Science
- 1325656
- Finnish Academy of Science
- 1306853
- Finnish Academy of Science
- 1296628
- Academy of Finland
- 272041
- European Research Council (ERC)
- 616075
- European Research Council (ERC)
- 742206
- National Key Research and Development Program of China
- 2017YFC0209503
- National Natural Science Foundation of China
- 21876094
- Pusan National University Research
- 2018
- National Research Foundation of Korea
- NRF-2019R1F1A1058854
- European Research Council (ERC)
- 654109
- European Research Council (ERC)
- 262254
- Created
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2020-06-01Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field