The Nano-Particle Mass Classifier (Nano-PMC): Development, Characterization, and Application for Determining the Mass, Apparent Density, and Shape of Particles with Masses Down to the Zeptogram Range.

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Title: The Nano-Particle Mass Classifier (Nano-PMC): Development, Characterization, and Application for Determining the Mass, Apparent Density, and Shape of Particles with Masses Down to the Zeptogram Range.
Authors: Broßell, D.1,2, Valenti, M.2, Bezantakos, S.3, Schmidt-Ott, A.2, Biskos, G.2,3,4,5
Source: Aerosol Science & Technology. Jul2015, Vol. 49 Issue 7, p495-507. 13p.
Subjects: Nanoparticles, Mass spectrometers, Ammonium sulfate, Atomization, Salt, Mass transfer
Abstract: Existing aerosol particle mass classifiers (PMCs) can classify particles having masses down to ca. half an attogram (i.e., 10−18g), which corresponds to a diameter of ca. 10 nm for spherical particles with standard density (1 g/cm3). Here, we describe an improved design of such a classifier, namely, the nano-PMC, which can classify particles with masses down to 20 zeptograms (10−21g). The response of the classifier was characterized with spherical polystyrene-latex and ammonium sulfate particles, produced by atomization and mobility classification. Measured responses were compared with predictions by a numerical trajectory-based model that considers particle diffusivity. Measurements and predictions of the mean mass of the particles penetrating the classifier agreed within experimental uncertainty (<6%). Differences in the spectrum width could be attributed to recirculation flows occurring in the classification channel. To demonstrate the capabilities of a nano-PMC, we used it in a tandem configuration with a differential mobility analyzer to determine (1) the size-dependent shape factor of cubic sodium chloride particles having diameters from 15 to 120 nm, and (2) the apparent density and mass–mobility coefficient of coalesced and aggregated silver particles generated by spark ablation. Measurements of the shape factor of the cubic sodium chloride particles show good agreement with previous observations. Coalesced silver particles exhibited an apparent density that was lower compared with that of bulk silver, suggesting a slightly non-spherical particle shape. The mass–mobility scaling exponent of aggregated silver particles determined by the measurements was 2.3 ± 0.1. Copyright 2015 American Association for Aerosol Research [ABSTRACT FROM PUBLISHER]
Copyright of Aerosol Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Existing aerosol particle mass classifiers (PMCs) can classify particles having masses down to ca. half an attogram (i.e., 10−18g), which corresponds to a diameter of ca. 10&#160;nm for spherical particles with standard density (1&#160;g/cm3). Here, we describe an improved design of such a classifier, namely, the nano-PMC, which can classify particles with masses down to 20 zeptograms (10−21g). The response of the classifier was characterized with spherical polystyrene-latex and ammonium sulfate particles, produced by atomization and mobility classification. Measured responses were compared with predictions by a numerical trajectory-based model that considers particle diffusivity. Measurements and predictions of the mean mass of the particles penetrating the classifier agreed within experimental uncertainty (&lt;6%). Differences in the spectrum width could be attributed to recirculation flows occurring in the classification channel. To demonstrate the capabilities of a nano-PMC, we used it in a tandem configuration with a differential mobility analyzer to determine (1) the size-dependent shape factor of cubic sodium chloride particles having diameters from 15 to 120&#160;nm, and (2) the apparent density and mass–mobility coefficient of coalesced and aggregated silver particles generated by spark ablation. Measurements of the shape factor of the cubic sodium chloride particles show good agreement with previous observations. Coalesced silver particles exhibited an apparent density that was lower compared with that of bulk silver, suggesting a slightly non-spherical particle shape. The mass–mobility scaling exponent of aggregated silver particles determined by the measurements was 2.3 &#177; 0.1. Copyright 2015 American Association for Aerosol Research [ABSTRACT FROM PUBLISHER]
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  Data: &lt;i&gt;Copyright of Aerosol Science &amp; Technology is the property of Taylor &amp; Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1080/02786826.2015.1045964
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        Text: English
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        PageCount: 13
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    Subjects:
      – SubjectFull: Nanoparticles
        Type: general
      – SubjectFull: Mass spectrometers
        Type: general
      – SubjectFull: Ammonium sulfate
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      – SubjectFull: Atomization
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      – SubjectFull: Salt
        Type: general
      – SubjectFull: Mass transfer
        Type: general
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      – TitleFull: The Nano-Particle Mass Classifier (Nano-PMC): Development, Characterization, and Application for Determining the Mass, Apparent Density, and Shape of Particles with Masses Down to the Zeptogram Range.
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              Text: Jul2015
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