CCN activation of fumed silica aerosols mixed with soluble pollutants
Particle-water interactions of completely soluble or insoluble particles are fairly well understood but less is known of aerosols consisting of mixtures of soluble and insoluble components. In this study, laboratory measurements were performed to investigate cloud condensation nuclei (CCN) activity...
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/161556 2024-01-07T09:40:45+01:00 CCN activation of fumed silica aerosols mixed with soluble pollutants Dalirian, M. Keskinen, H. Ahlm, L. Ylisirnio, A. Romakkaniemi, S. Laaksonen, A. Virtanen, A. Riipinen, I. Department of Physics 2016-05-10T12:06:02Z 15 application/pdf http://hdl.handle.net/10138/161556 eng eng COPERNICUS GESELLSCHAFT MBH 10.5194/acp-15-3815-2015 Financial support from the Nordic Centre of Excellence CRAICC (Cryosphere-atmosphere interactions in a changing Arctic climate), Vetenskapradet (grant no. 2011-5120), Academy of Finland (272041, 259005, 283031 and 138951) and the European Research Council (StG no. 27877 ATMOGAIN and 335478 QAPPA) is gratefully acknowledged. Dalirian , M , Keskinen , H , Ahlm , L , Ylisirnio , A , Romakkaniemi , S , Laaksonen , A , Virtanen , A & Riipinen , I 2015 , ' CCN activation of fumed silica aerosols mixed with soluble pollutants ' , Atmospheric Chemistry and Physics , vol. 15 , no. 7 , pp. 3815-3829 . https://doi.org/10.5194/acp-15-3815-2015 84927598213 4ee3fb95-7619-4b75-b474-8b3a201f4d46 http://hdl.handle.net/10138/161556 000352957400012 cc_by openAccess info:eu-repo/semantics/openAccess CONDENSATION NUCLEI ACTIVITY PARTICULATE AIR-POLLUTION FRACTAL-LIKE DIMENSION REGIONAL DUST SAMPLES DROPLET ACTIVATION HYGROSCOPIC GROWTH PARTICLE DENSITY ATMOSPHERIC MEASUREMENTS DIFFERENTIAL MOBILITY INSOLUBLE PARTICLES 114 Physical sciences Article publishedVersion 2016 ftunivhelsihelda 2023-12-14T00:13:01Z Particle-water interactions of completely soluble or insoluble particles are fairly well understood but less is known of aerosols consisting of mixtures of soluble and insoluble components. In this study, laboratory measurements were performed to investigate cloud condensation nuclei (CCN) activity of silica particles mixed with ammonium sulfate (a salt), sucrose (a sugar) and bovine serum albumin known as BSA (a protein). The agglomerated structure of the silica particles was investigated using measurements with a differential mobility analyser (DMA) and an aerosol particle mass analyser (APM). Based on these data, the particles were assumed to be compact agglomerates when studying their CCN activation capabilities. Furthermore, the critical super-saturations of particles consisting of pure and mixed soluble and insoluble compounds were explored using existing theoretical frameworks. These results showed that the CCN activation of single-component particles was in good agreement with Kohler- and adsorption theory based models when the agglomerated structure was accounted for. For mixed particles the CCN activation was governed by the soluble components, and the soluble fraction varied considerably with particle size for our wet-generated aerosols. Our results confirm the hypothesis that knowing the soluble fraction is the key parameter needed for describing the CCN activation of mixed aerosols, and highlight the importance of controlled coating techniques for acquiring a detailed understanding of the CCN activation of atmospheric insoluble particles mixed with soluble pollutants. Peer reviewed Article in Journal/Newspaper Arctic HELDA – University of Helsinki Open Repository |
institution |
Open Polar |
collection |
HELDA – University of Helsinki Open Repository |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
CONDENSATION NUCLEI ACTIVITY PARTICULATE AIR-POLLUTION FRACTAL-LIKE DIMENSION REGIONAL DUST SAMPLES DROPLET ACTIVATION HYGROSCOPIC GROWTH PARTICLE DENSITY ATMOSPHERIC MEASUREMENTS DIFFERENTIAL MOBILITY INSOLUBLE PARTICLES 114 Physical sciences |
spellingShingle |
CONDENSATION NUCLEI ACTIVITY PARTICULATE AIR-POLLUTION FRACTAL-LIKE DIMENSION REGIONAL DUST SAMPLES DROPLET ACTIVATION HYGROSCOPIC GROWTH PARTICLE DENSITY ATMOSPHERIC MEASUREMENTS DIFFERENTIAL MOBILITY INSOLUBLE PARTICLES 114 Physical sciences Dalirian, M. Keskinen, H. Ahlm, L. Ylisirnio, A. Romakkaniemi, S. Laaksonen, A. Virtanen, A. Riipinen, I. CCN activation of fumed silica aerosols mixed with soluble pollutants |
topic_facet |
CONDENSATION NUCLEI ACTIVITY PARTICULATE AIR-POLLUTION FRACTAL-LIKE DIMENSION REGIONAL DUST SAMPLES DROPLET ACTIVATION HYGROSCOPIC GROWTH PARTICLE DENSITY ATMOSPHERIC MEASUREMENTS DIFFERENTIAL MOBILITY INSOLUBLE PARTICLES 114 Physical sciences |
description |
Particle-water interactions of completely soluble or insoluble particles are fairly well understood but less is known of aerosols consisting of mixtures of soluble and insoluble components. In this study, laboratory measurements were performed to investigate cloud condensation nuclei (CCN) activity of silica particles mixed with ammonium sulfate (a salt), sucrose (a sugar) and bovine serum albumin known as BSA (a protein). The agglomerated structure of the silica particles was investigated using measurements with a differential mobility analyser (DMA) and an aerosol particle mass analyser (APM). Based on these data, the particles were assumed to be compact agglomerates when studying their CCN activation capabilities. Furthermore, the critical super-saturations of particles consisting of pure and mixed soluble and insoluble compounds were explored using existing theoretical frameworks. These results showed that the CCN activation of single-component particles was in good agreement with Kohler- and adsorption theory based models when the agglomerated structure was accounted for. For mixed particles the CCN activation was governed by the soluble components, and the soluble fraction varied considerably with particle size for our wet-generated aerosols. Our results confirm the hypothesis that knowing the soluble fraction is the key parameter needed for describing the CCN activation of mixed aerosols, and highlight the importance of controlled coating techniques for acquiring a detailed understanding of the CCN activation of atmospheric insoluble particles mixed with soluble pollutants. Peer reviewed |
author2 |
Department of Physics |
format |
Article in Journal/Newspaper |
author |
Dalirian, M. Keskinen, H. Ahlm, L. Ylisirnio, A. Romakkaniemi, S. Laaksonen, A. Virtanen, A. Riipinen, I. |
author_facet |
Dalirian, M. Keskinen, H. Ahlm, L. Ylisirnio, A. Romakkaniemi, S. Laaksonen, A. Virtanen, A. Riipinen, I. |
author_sort |
Dalirian, M. |
title |
CCN activation of fumed silica aerosols mixed with soluble pollutants |
title_short |
CCN activation of fumed silica aerosols mixed with soluble pollutants |
title_full |
CCN activation of fumed silica aerosols mixed with soluble pollutants |
title_fullStr |
CCN activation of fumed silica aerosols mixed with soluble pollutants |
title_full_unstemmed |
CCN activation of fumed silica aerosols mixed with soluble pollutants |
title_sort |
ccn activation of fumed silica aerosols mixed with soluble pollutants |
publisher |
COPERNICUS GESELLSCHAFT MBH |
publishDate |
2016 |
url |
http://hdl.handle.net/10138/161556 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
10.5194/acp-15-3815-2015 Financial support from the Nordic Centre of Excellence CRAICC (Cryosphere-atmosphere interactions in a changing Arctic climate), Vetenskapradet (grant no. 2011-5120), Academy of Finland (272041, 259005, 283031 and 138951) and the European Research Council (StG no. 27877 ATMOGAIN and 335478 QAPPA) is gratefully acknowledged. Dalirian , M , Keskinen , H , Ahlm , L , Ylisirnio , A , Romakkaniemi , S , Laaksonen , A , Virtanen , A & Riipinen , I 2015 , ' CCN activation of fumed silica aerosols mixed with soluble pollutants ' , Atmospheric Chemistry and Physics , vol. 15 , no. 7 , pp. 3815-3829 . https://doi.org/10.5194/acp-15-3815-2015 84927598213 4ee3fb95-7619-4b75-b474-8b3a201f4d46 http://hdl.handle.net/10138/161556 000352957400012 |
op_rights |
cc_by openAccess info:eu-repo/semantics/openAccess |
_version_ |
1787421548112510976 |