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A Cluster-Based Method for Improving Analysis of Polydisperse Particle Size Distributions Obtained by Nanoparticle Tracking
Joint Authors
Wiemann, Martin
Lipinski, Hans-Gerd
Wagner, Thorsten
Schmitz, Inge
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering Sciences and Information Technology
Chemistry
Abstract EN
Optical tracking methods are increasingly employed to characterize the size of nanoparticles in suspensions.
However, the sufficient separation of different particle populations in polydisperse suspension is still difficult.
In this work, Nanosight measurements of well-defined particle populations and Monte-Carlo simulations showed that the analysis of polydisperse particle dispersion could be improved with mathematical methods.
Logarithmic transform of measured hydrodynamic diameters led to improved comparability between different modal values of multimodal size distributions.
Furthermore, an automatic cluster analysis of transformed particle diameters could uncover otherwise hidden particle populations.
In summary, the combination of logarithmically transformed hydrodynamic particle diameters with cluster analysis markedly improved the interpretability of multimodal particle size distributions as delivered by particle tracking measurements.
American Psychological Association (APA)
Wagner, Thorsten& Wiemann, Martin& Schmitz, Inge& Lipinski, Hans-Gerd. 2013. A Cluster-Based Method for Improving Analysis of Polydisperse Particle Size Distributions Obtained by Nanoparticle Tracking. Journal of Nanoparticles،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-509550
Modern Language Association (MLA)
Wagner, Thorsten…[et al.]. A Cluster-Based Method for Improving Analysis of Polydisperse Particle Size Distributions Obtained by Nanoparticle Tracking. Journal of Nanoparticles No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-509550
American Medical Association (AMA)
Wagner, Thorsten& Wiemann, Martin& Schmitz, Inge& Lipinski, Hans-Gerd. A Cluster-Based Method for Improving Analysis of Polydisperse Particle Size Distributions Obtained by Nanoparticle Tracking. Journal of Nanoparticles. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-509550
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509550