2010
DOI: 10.1080/02786820903401427
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Measurement of Nanoparticle Agglomerates by Combined Measurement of Electrical Mobility and Unipolar Charging Properties

Abstract: We have developed an instrument, Universal NanoParticle Analyzer (UNPA), for quasi-online measurement of gas-borne nanoparticle agglomerates. The UNPA utilizes a Differential Mobility Analyzer (DMA), a Condensation Particle Counter (CPC), and a Nanoparticle Surface Area Monitor (NSAM, including a unipolar charger combined with an electrometer), to determine the primary particle size and measure the number, surface area, and volume distributions of loose nanoparticle agglomerates. By loose agglomerates we refer… Show more

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Cited by 53 publications
(50 citation statements)
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“…For a loose agglomerate with equally sized primary particles the capacity change depends on the primary particle size. Making use of this dependency, Wang et al (2010) developed a semi-empirical model, which allows the on-line primary particle size determination for chain like agglomerates with low fractal dimensions from the measured values of charge per agglomerate. The developed model has been adjusted by making use of measured charge per particle data of spherical and loosely agglomerated silver particles.…”
Section: Existing Technologies and Data Evaluation Proceduresmentioning
confidence: 99%
See 1 more Smart Citation
“…For a loose agglomerate with equally sized primary particles the capacity change depends on the primary particle size. Making use of this dependency, Wang et al (2010) developed a semi-empirical model, which allows the on-line primary particle size determination for chain like agglomerates with low fractal dimensions from the measured values of charge per agglomerate. The developed model has been adjusted by making use of measured charge per particle data of spherical and loosely agglomerated silver particles.…”
Section: Existing Technologies and Data Evaluation Proceduresmentioning
confidence: 99%
“…Due to unavoidable coagulation and unwanted or wanted sintering processes they often occur in form of loose agglomerates consisting out of primary particles touching each other in one point or sintered aggregates with stronger chemical bonds. In this paper we will not only consider loose agglomerates as has been done in the past (Lall and Friedlander, 2006a;Lall et al, 2006b;Wang et al, 2010), but we will consider data evaluation procedures for the structurally more complicated aggregates. Although the primary particles in agglomerates can have different shapes (spheres, fibers, plates) depending on the material and the synthesis process, very often they are spherical with diameters of a few nanometer to below 100 nm.…”
Section: Introductionmentioning
confidence: 99%
“…Further experimental confirmation of this theory using artificially generated carbon particles is given by Lall et al 121 UNPA. The UNPA utilizes a DMA, CPC, and nanoparticle surface area monitor (NSAM) that includes a unipolar charger combined with an electrometer to characterize nanoparticle morphology and measure the number, surface area, and volume distributions of loose nanoparticle aggregates, 111 including DPM. The UNPA response to a size-selected particle is given as a sensitivity that is defined as the current measured by the NSAM divided by the number concentration measured by the CPC.…”
Section: Effective Density Comparisonsmentioning
confidence: 99%
“…If polydisperse NP agglomerates are used as challenging aerosols in filtration experiments, the data evaluation for the measurement could be based on sphere assumptions or open-structured agglomerate assumptions, for example, using a model developed by . This model was validated and justified for openstructured silver agglomerates in the studies reported before Wang et al 2010). We have examined the filtration data using silver NP agglomerates.…”
Section: Introductionmentioning
confidence: 99%