2013
DOI: 10.4209/aaqr.2013.02.0050
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Rationale for Data Evaluation of the Size Distribution Measurements of Agglomerates and Aggregates in Gases with Extended SMPS-Technology

Abstract: Engineered nanoparticles (ENP) very often occur in form of agglomerates built up from spherical primary particles and sintered aggregates. The properties of materials making use of ENPs depend on the distributions of the structural properties of agglomerated/aggregated ENPs. The amount and structural properties of accidentally released ENPs are also of interest with regard to their transport and environmental effects.We report on the possibilities of using extended SMPS-technology with the addition of an Aeros… Show more

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Cited by 4 publications
(3 citation statements)
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References 34 publications
(49 reference statements)
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“…Here, we are investigating only spherical particles to avoid the increasing uncertainties, particularly in the surface area and volume/mass determination of non-spherical particles. 11…”
Section: Scanning Mobility Particle Sizer (Smps) For Aerosolsmentioning
confidence: 99%
See 1 more Smart Citation
“…Here, we are investigating only spherical particles to avoid the increasing uncertainties, particularly in the surface area and volume/mass determination of non-spherical particles. 11…”
Section: Scanning Mobility Particle Sizer (Smps) For Aerosolsmentioning
confidence: 99%
“…agglomerates and aggregates. 11 It is necessary for measurement techniques for both material systems, i.e. aerosols and dispersions.…”
Section: Introductionmentioning
confidence: 99%
“…Even in case of direct release from an airborne synthesis processes, primary particles can already start to agglomerate or aggregate in the reactor and may further coagulate at or very near the point of release with similar result (Makela et al, 2009;Hämeri et al, 2009;Schneider et al, 2011;Koivisto et al, 2012;Koivisto et al, 2015). Measurements are therefore challenging when the aerosol structure is not known, because this in principle prevents the possibility to convert number-size-distribution measurements into reliable surface area values (Fissan et al, 2013).…”
Section: Introductionmentioning
confidence: 99%