skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A Diethylene Glycol Condensation Particle Counter for Rapid Sizing of sub-3 nm Atmospheric Clusters

Abstract

AbstractThis paper describes the modification of a laminar flow, thermally diffusive universal-fluid condensation particle counter (standard operation: 50% detection efficiency at 5 nm) to rapidly measure the size distribution of sub 3 nm aerosol. Sub 3 nm detection was achieved by using diethylene glycol as the working fluid, which enabled high instrument super-saturations while minimizing homogenous nucleation of the working fluid; a detection efficiency of 50% was achieved at 1.6 nm with laboratory-generated ammonium sulfate aerosol. Rapid aerosol sizing beneath 3 nm was achieved by inverting the measured grown droplet size distribution (1 second sampling) to recover the sampled aerosol size distribution. The developed inversion algorithm utilizes analytical kernel functions determined from the instrument response to pseudo-monodisperse ammonium sulfate aerosol from 1.5 nm to 20 nm, generated by a high resolution DMA and a nano DMA. The inversion algorithm was tested numerically with assumed, idealized aerosol size distributions consistent with observed new particle formation events, yielding reasonable agreement between inverted and assumed aerosol size distributions below 3 nm. Furthermore, this technique provides a measure of the aerosol size assuming an aerosol composition identical to that of the aerosol used to generate the experimentally determined kernel function.

Authors:
 [1]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1460820
Report Number(s):
BNL-207861-2018-JAAM
Journal ID: ISSN 0278-6826
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Aerosol Science and Technology
Additional Journal Information:
Journal Volume: 52; Journal Issue: 10; Journal ID: ISSN 0278-6826
Publisher:
American Association for Aerosol Research
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Kuang, Chongai. A Diethylene Glycol Condensation Particle Counter for Rapid Sizing of sub-3 nm Atmospheric Clusters. United States: N. p., 2018. Web. doi:10.1080/02786826.2018.1481279.
Kuang, Chongai. A Diethylene Glycol Condensation Particle Counter for Rapid Sizing of sub-3 nm Atmospheric Clusters. United States. doi:10.1080/02786826.2018.1481279.
Kuang, Chongai. Mon . "A Diethylene Glycol Condensation Particle Counter for Rapid Sizing of sub-3 nm Atmospheric Clusters". United States. doi:10.1080/02786826.2018.1481279. https://www.osti.gov/servlets/purl/1460820.
@article{osti_1460820,
title = {A Diethylene Glycol Condensation Particle Counter for Rapid Sizing of sub-3 nm Atmospheric Clusters},
author = {Kuang, Chongai},
abstractNote = {AbstractThis paper describes the modification of a laminar flow, thermally diffusive universal-fluid condensation particle counter (standard operation: 50% detection efficiency at 5 nm) to rapidly measure the size distribution of sub 3 nm aerosol. Sub 3 nm detection was achieved by using diethylene glycol as the working fluid, which enabled high instrument super-saturations while minimizing homogenous nucleation of the working fluid; a detection efficiency of 50% was achieved at 1.6 nm with laboratory-generated ammonium sulfate aerosol. Rapid aerosol sizing beneath 3 nm was achieved by inverting the measured grown droplet size distribution (1 second sampling) to recover the sampled aerosol size distribution. The developed inversion algorithm utilizes analytical kernel functions determined from the instrument response to pseudo-monodisperse ammonium sulfate aerosol from 1.5 nm to 20 nm, generated by a high resolution DMA and a nano DMA. The inversion algorithm was tested numerically with assumed, idealized aerosol size distributions consistent with observed new particle formation events, yielding reasonable agreement between inverted and assumed aerosol size distributions below 3 nm. Furthermore, this technique provides a measure of the aerosol size assuming an aerosol composition identical to that of the aerosol used to generate the experimentally determined kernel function.},
doi = {10.1080/02786826.2018.1481279},
journal = {Aerosol Science and Technology},
number = 10,
volume = 52,
place = {United States},
year = {2018},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Acid-base chemical reaction model for nucleation rates in the polluted atmospheric boundary layer
journal, October 2012

  • Chen, M.; Titcombe, M.; Jiang, J.
  • Proceedings of the National Academy of Sciences, Vol. 109, Issue 46
  • DOI: 10.1073/pnas.1210285109

An improved criterion for new particle formation in diverse atmospheric environments
journal, January 2010

  • Kuang, C.; Riipinen, I.; Sihto, S. -L.
  • Atmospheric Chemistry and Physics, Vol. 10, Issue 17
  • DOI: 10.5194/acp-10-8469-2010

Detection near 1-nm with a laminar-flow, water-based condensation particle counter
journal, November 2016


Direct observational evidence linking atmospheric aerosol formation and cloud droplet activation: AEROSOL FORMATION AND CLOUDS
journal, July 2005

  • Kerminen, Veli-Matti; Lihavainen, Heikki; Komppula, Mika
  • Geophysical Research Letters, Vol. 32, Issue 14
  • DOI: 10.1029/2005GL023130

Determination of cloud condensation nuclei production from measured new particle formation events
journal, January 2009

  • Kuang, C.; McMurry, P. H.; McCormick, A. V.
  • Geophysical Research Letters, Vol. 36, Issue 9
  • DOI: 10.1029/2009GL037584

Regularization Tools version 4.0 for Matlab 7.3
journal, November 2007


Molecular monodisperse mobility and mass standards from electrosprays of tetra-alkyl ammonium halides
journal, October 2005


An Ultrafine Aerosol Condensation Nucleus Counter
journal, January 1991

  • Stolzenburg, Mark; McMurry, Peter
  • Aerosol Science and Technology, Vol. 14, Issue 1, p. 48-65
  • DOI: 10.1080/02786829108959470

Generation of monodisperse Ag- and NaCl-aerosols with particle diameters between 2 and 300 nm
journal, January 1983


First Measurements of Neutral Atmospheric Cluster and 1–2 nm Particle Number Size Distributions During Nucleation Events
journal, March 2011


Modification of Laminar Flow Ultrafine Condensation Particle Counters for the Enhanced Detection of 1 nm Condensation Nuclei
journal, March 2012


Atmospheric particles from organic vapours
journal, April 2002

  • O'Dowd, Colin D.; Aalto, Pasi; Hmeri, Kaarle
  • Nature, Vol. 416, Issue 6880
  • DOI: 10.1038/416497a

Particle Size Magnifier for Nano-CN Detection
journal, March 2011


Sub-3 nm particle size and composition dependent response of a nano-CPC battery
journal, January 2014

  • Kangasluoma, J.; Kuang, C.; Wimmer, D.
  • Atmospheric Measurement Techniques, Vol. 7, Issue 3
  • DOI: 10.5194/amt-7-689-2014

Effect of Working Fluid on Sub-2 nm Particle Detection with a Laminar Flow Ultrafine Condensation Particle Counter
journal, January 2009

  • Iida, Kenjiro; Stolzenburg, Mark R.; McMurry, Peter H.
  • Aerosol Science and Technology, Vol. 43, Issue 1
  • DOI: 10.1080/02786820802488194

Laboratory Verification of PH-CPC's Ability to Monitor Atmospheric Sub-3 nm Clusters
journal, January 2009


Size and time-resolved growth rate measurements of 1 to 5 nm freshly formed atmospheric nuclei
journal, January 2012


Modification of the TSI 3025 Condensation Particle Counter for Pulse Height Analysis
journal, January 1996


Production of “potential” cloud condensation nuclei associated with atmospheric new-particle formation in northern Finland: CCN FORMATION IN NORTHERN FINLAND
journal, December 2003

  • Lihavainen, H.; Kerminen, V. -M.; Komppula, M.
  • Journal of Geophysical Research: Atmospheres, Vol. 108, Issue D24
  • DOI: 10.1029/2003JD003887

Contribution of particle formation to global cloud condensation nuclei concentrations
journal, January 2008

  • Spracklen, Dominick V.; Carslaw, Kenneth S.; Kulmala, Markku
  • Geophysical Research Letters, Vol. 35, Issue 6
  • DOI: 10.1029/2007GL033038

Role of sulphuric acid, ammonia and galactic cosmic rays in atmospheric aerosol nucleation
journal, August 2011

  • Kirkby, Jasper; Curtius, Joachim; Almeida, João
  • Nature, Vol. 476, Issue 7361
  • DOI: 10.1038/nature10343

Performance of diethylene glycol-based particle counters in the sub-3 nm size range
journal, January 2013

  • Wimmer, D.; Lehtipalo, K.; Franchin, A.
  • Atmospheric Measurement Techniques, Vol. 6, Issue 7
  • DOI: 10.5194/amt-6-1793-2013

Hand-held differential mobility analyzers of high resolution for 1–30nm particles: Design and fabrication considerations
journal, March 2013


Counting efficiency measurements for a new condensation particle counter
journal, April 2014


Formation and growth rates of ultrafine atmospheric particles: a review of observations
journal, March 2004


Ultrafine Aerosol Measurement Using a Condensation Nucleus Counter with Pulse Height Analysis
journal, January 1996


Electrical Mobility Spectrometer Using a Diethylene Glycol Condensation Particle Counter for Measurement of Aerosol Size Distributions Down to 1 nm
journal, March 2011


Inversion of ultrafine condensation nucleus counter pulse height distributions to obtain nanoparticle (∼3–10nm) size distributions
journal, June 1998


    Works referencing / citing this record:

    New Particle Formation in the Atmosphere: From Molecular Clusters to Global Climate
    journal, July 2019

    • Lee, Shan-Hu; Gordon, Hamish; Yu, Huan
    • Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 13
    • DOI: 10.1029/2018jd029356

    New Particle Formation in the Atmosphere: From Molecular Clusters to Global Climate
    journal, July 2019

    • Lee, Shan-Hu; Gordon, Hamish; Yu, Huan
    • Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 13
    • DOI: 10.1029/2018jd029356