Densities of internally mixed organic-inorganic particles from mobility diameter measurements of aerodynamically classified aerosols

Vokes, Elinor T.; Lewis, Ernie; Johnson, A. L.; Cotterell, M. I.

doi:10.1080/02786826.2022.2062293

Title: Densities of internally mixed organic-inorganic particles from mobility diameter measurements of aerodynamically classified aerosols

Journal Article · 28 April 2022 · Aerosol Science and Technology (Online)

DOI: https://doi.org/10.1080/02786826.2022.2062293 · OSTI ID:1865490

Vokes, Elinor T. ^[1];

^[2]; Johnson, A. L. ^[3]; Cotterell, M. I. ^[4]

Univ. of Bristol (United Kingdom); Univ. of Bath (United Kingdom)
Brookhaven National Lab. (BNL), Upton, NY (United States)
Univ. of Bath (United Kingdom)
Univ. of Bristol (United Kingdom)

Accurate knowledge of particle density is essential for many aspects of aerosol science. Yet, density is often characterized poorly and incompletely for internally mixed particles, particularly for dry particles, with previous studies focused primarily on deliquescent (aqueous) drop- lets. Instead, densities for dry internally mixed particles are often inferred from mass composition measurements in combination with predictive models assuming ideal mixing, with the accuracy of such models not estimated. We determined particle densities from mobility diameter measurements (using a Scanning Mobility Particle Sizer, SMPS) for dried particles classified by their aerodynamic size (using an Aerosol Aerodynamic Classifier, AAC) for a range of two-component organic-inorganic particles containing known proportions of organic and inorganic species. We examined all permutations of mixing between four different organic (water soluble nigrosin dye, citric acid, polyethylene glycol-400, and ascorbic acid) and three different inorganic (sodium chloride, ammonium sulfate, and sodium nitrate) species. The accuracy and precision in our measured particle densities were ~5% and ~1%, respectively, for nonvolatile particles. Substantial deviations in particle density from ideal mixing (up to 20%) were observed. We tested descriptions of the non-ideal mixing for our systems by representing the volume change of mixing using Redlich-Kister (RK) polynomials in terms of mass fraction or in terms of mole fraction, with both approaches performing similarly.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); Engineering and Physical Sciences Research Council (EPSRC); Natural Environment Research Council; EPSRC Core Equipment Grant; USDOE

Grant/Contract Number:: SC0012704; EP/S023593/1; NE/S014314/1; EP/V036440/1; EP/S018050/1

OSTI ID:: 1865490

Alternate ID(s):: OSTI ID: 1869260

Report Number(s):: BNL-223001-2022-JAAM

Journal Information:: Aerosol Science and Technology (Online), Vol. 56, Issue 8; ISSN 1521-7388

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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