Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanning mobility particle sizer

Handol Lee; Dong Bin Kwak; Seong Chan Kim; David Y.H. Pui

doi:10.1016/j.powtec.2019.07.029

Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanning mobility particle sizer

Handol Lee, Dong Bin Kwak, Seong Chan Kim, David Y.H. Pui

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Characterization of polydisperse liquid-borne particles was investigated using a particle tracking analysis (PTA) and electrospray-scanning mobility particle sizer (ES-SMPS). The results showed PTA measurements based on light scattering accurately predicted mode sizes of monodisperse colloidal particles, but the geometric standard deviation of 40 nm polystyrene latex (PSL) particles was underestimated because of a screening effect that makes the smaller particles less visible. ES-SMPS could precisely predict the size distributions with sizes and standard deviations of monodisperse particles when compared to scanning electron microscopy data. From the results for the mixture of 40 nm Au and PSL and mixtures of 40 nm Au and 100, 150 and 240 nm PSL, it was shown that ES-SMPS is a very promising method to characterize colloidal particles with a wide or multimodal size distributions. Therefore, the results of this study provide detailed insights into various applications that require accurate characterizations of polydisperse colloidal particles.

Original language	English (US)
Pages (from-to)	18-25
Number of pages	8
Journal	Powder Technology
Volume	355
DOIs	https://doi.org/10.1016/j.powtec.2019.07.029
State	Published - Oct 2019

Bibliographical note

Funding Information:
The authors thank the support of members of the Center for Filtration Research: 3M Corporation, A.O. Smith Company, Applied Materials, Inc. BASF Corporation, Boeing Company, Corning Co., China Yancheng Environmental Protection Science and Technology City, Cummins Filtration Inc. Donaldson Company, Inc. Entegris, Inc. Ford Motor Company, Guangxi Wat Yuan Filtration System Co. Ltd., LG Electronics Inc. Mott Corporation, MSP Corporation, Parker Hannifin, Samsung Electronics Co. Ltd., Xinxiang Shengda Filtration Technology Co. Ltd. Shigematsu Works Co. Ltd. TSI Inc. W. L. Gore & Associates, Inc. and the affiliate member National Institute for Occupational Safety and Health (NIOSH).

Publisher Copyright:
© 2019

Keywords

Electrospray-scanning mobility particle sizer
Monodispersity
Particle size distribution
Particle tracking analysis
Polydispersity

Publisher link

10.1016/j.powtec.2019.07.029

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title = "Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanning mobility particle sizer",

abstract = "Characterization of polydisperse liquid-borne particles was investigated using a particle tracking analysis (PTA) and electrospray-scanning mobility particle sizer (ES-SMPS). The results showed PTA measurements based on light scattering accurately predicted mode sizes of monodisperse colloidal particles, but the geometric standard deviation of 40 nm polystyrene latex (PSL) particles was underestimated because of a screening effect that makes the smaller particles less visible. ES-SMPS could precisely predict the size distributions with sizes and standard deviations of monodisperse particles when compared to scanning electron microscopy data. From the results for the mixture of 40 nm Au and PSL and mixtures of 40 nm Au and 100, 150 and 240 nm PSL, it was shown that ES-SMPS is a very promising method to characterize colloidal particles with a wide or multimodal size distributions. Therefore, the results of this study provide detailed insights into various applications that require accurate characterizations of polydisperse colloidal particles.",

keywords = "Electrospray-scanning mobility particle sizer, Monodispersity, Particle size distribution, Particle tracking analysis, Polydispersity",

author = "Handol Lee and Kwak, {Dong Bin} and Kim, {Seong Chan} and Pui, {David Y.H.}",

note = "Funding Information: The authors thank the support of members of the Center for Filtration Research: 3M Corporation, A.O. Smith Company, Applied Materials, Inc. BASF Corporation, Boeing Company, Corning Co., China Yancheng Environmental Protection Science and Technology City, Cummins Filtration Inc. Donaldson Company, Inc. Entegris, Inc. Ford Motor Company, Guangxi Wat Yuan Filtration System Co. Ltd., LG Electronics Inc. Mott Corporation, MSP Corporation, Parker Hannifin, Samsung Electronics Co. Ltd., Xinxiang Shengda Filtration Technology Co. Ltd. Shigematsu Works Co. Ltd. TSI Inc. W. L. Gore & Associates, Inc. and the affiliate member National Institute for Occupational Safety and Health (NIOSH). Publisher Copyright: {\textcopyright} 2019",

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doi = "10.1016/j.powtec.2019.07.029",

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AU - Lee, Handol

AU - Kwak, Dong Bin

AU - Kim, Seong Chan

AU - Pui, David Y.H.

N1 - Funding Information: The authors thank the support of members of the Center for Filtration Research: 3M Corporation, A.O. Smith Company, Applied Materials, Inc. BASF Corporation, Boeing Company, Corning Co., China Yancheng Environmental Protection Science and Technology City, Cummins Filtration Inc. Donaldson Company, Inc. Entegris, Inc. Ford Motor Company, Guangxi Wat Yuan Filtration System Co. Ltd., LG Electronics Inc. Mott Corporation, MSP Corporation, Parker Hannifin, Samsung Electronics Co. Ltd., Xinxiang Shengda Filtration Technology Co. Ltd. Shigematsu Works Co. Ltd. TSI Inc. W. L. Gore & Associates, Inc. and the affiliate member National Institute for Occupational Safety and Health (NIOSH). Publisher Copyright: © 2019

PY - 2019/10

Y1 - 2019/10

N2 - Characterization of polydisperse liquid-borne particles was investigated using a particle tracking analysis (PTA) and electrospray-scanning mobility particle sizer (ES-SMPS). The results showed PTA measurements based on light scattering accurately predicted mode sizes of monodisperse colloidal particles, but the geometric standard deviation of 40 nm polystyrene latex (PSL) particles was underestimated because of a screening effect that makes the smaller particles less visible. ES-SMPS could precisely predict the size distributions with sizes and standard deviations of monodisperse particles when compared to scanning electron microscopy data. From the results for the mixture of 40 nm Au and PSL and mixtures of 40 nm Au and 100, 150 and 240 nm PSL, it was shown that ES-SMPS is a very promising method to characterize colloidal particles with a wide or multimodal size distributions. Therefore, the results of this study provide detailed insights into various applications that require accurate characterizations of polydisperse colloidal particles.

AB - Characterization of polydisperse liquid-borne particles was investigated using a particle tracking analysis (PTA) and electrospray-scanning mobility particle sizer (ES-SMPS). The results showed PTA measurements based on light scattering accurately predicted mode sizes of monodisperse colloidal particles, but the geometric standard deviation of 40 nm polystyrene latex (PSL) particles was underestimated because of a screening effect that makes the smaller particles less visible. ES-SMPS could precisely predict the size distributions with sizes and standard deviations of monodisperse particles when compared to scanning electron microscopy data. From the results for the mixture of 40 nm Au and PSL and mixtures of 40 nm Au and 100, 150 and 240 nm PSL, it was shown that ES-SMPS is a very promising method to characterize colloidal particles with a wide or multimodal size distributions. Therefore, the results of this study provide detailed insights into various applications that require accurate characterizations of polydisperse colloidal particles.

KW - Electrospray-scanning mobility particle sizer

KW - Monodispersity

KW - Particle size distribution

KW - Particle tracking analysis

KW - Polydispersity

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Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanning mobility particle sizer

Abstract

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