Holographic characterization of colloidal fractal aggregates

Chen Wang; Fook Chiong Cheong; David B. Ruffner; Xiao Zhong; Michael D. Ward; David G. Grier

doi:10.1039/c6sm01790h

Holographic characterization of colloidal fractal aggregates

Chen Wang, Fook Chiong Cheong, David B. Ruffner, Xiao Zhong, Michael D. Ward, David G. Grier

Chemistry

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

Abstract

In-line holographic microscopy images of micrometer-scale fractal aggregates can be interpreted with an effective-sphere model to obtain each aggregate's size and the population-averaged fractal dimension. We demonstrate this technique experimentally using model fractal clusters of polystyrene nanoparticles and fractal protein aggregates composed of bovine serum albumin and bovine pancreas insulin.

Original language	English (US)
Pages (from-to)	8774-8780
Number of pages	7
Journal	Soft Matter
Volume	12
Issue number	42
DOIs	https://doi.org/10.1039/c6sm01790h
State	Published - 2016

ASJC Scopus subject areas

General Chemistry
Condensed Matter Physics

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10.1039/c6sm01790h

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title = "Holographic characterization of colloidal fractal aggregates",

abstract = "In-line holographic microscopy images of micrometer-scale fractal aggregates can be interpreted with an effective-sphere model to obtain each aggregate's size and the population-averaged fractal dimension. We demonstrate this technique experimentally using model fractal clusters of polystyrene nanoparticles and fractal protein aggregates composed of bovine serum albumin and bovine pancreas insulin.",

author = "Chen Wang and Cheong, {Fook Chiong} and Ruffner, {David B.} and Xiao Zhong and Ward, {Michael D.} and Grier, {David G.}",

note = "Publisher Copyright: {\textcopyright} The Royal Society of Chemistry.",

year = "2016",

doi = "10.1039/c6sm01790h",

language = "English (US)",

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pages = "8774--8780",

journal = "Soft Matter",

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publisher = "Royal Society of Chemistry",

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T1 - Holographic characterization of colloidal fractal aggregates

AU - Wang, Chen

AU - Cheong, Fook Chiong

AU - Ruffner, David B.

AU - Zhong, Xiao

AU - Ward, Michael D.

AU - Grier, David G.

N1 - Publisher Copyright: © The Royal Society of Chemistry.

PY - 2016

Y1 - 2016

N2 - In-line holographic microscopy images of micrometer-scale fractal aggregates can be interpreted with an effective-sphere model to obtain each aggregate's size and the population-averaged fractal dimension. We demonstrate this technique experimentally using model fractal clusters of polystyrene nanoparticles and fractal protein aggregates composed of bovine serum albumin and bovine pancreas insulin.

AB - In-line holographic microscopy images of micrometer-scale fractal aggregates can be interpreted with an effective-sphere model to obtain each aggregate's size and the population-averaged fractal dimension. We demonstrate this technique experimentally using model fractal clusters of polystyrene nanoparticles and fractal protein aggregates composed of bovine serum albumin and bovine pancreas insulin.

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U2 - 10.1039/c6sm01790h

DO - 10.1039/c6sm01790h

M3 - Article

AN - SCOPUS:84993939956

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SP - 8774

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JO - Soft Matter

JF - Soft Matter

IS - 42

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Holographic characterization of colloidal fractal aggregates

Abstract

ASJC Scopus subject areas

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