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research article

Comparative characterisation of non-monodisperse gold nanoparticle populations by X-ray scattering and electron microscopy

Yang, Ye
•
Liao, Suiyang  
•
Luo, Zhi  
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June 14, 2020
Nanoscale

Accurate nanoparticle size determination is essential across various research domains, with many functionalities in nanoscience and biomedical research being size-dependent. Although electron microscopy is capable of resolving a single particle down to the sub-nm scale, the reliable representation of entire populations is plagued by challenges in providing statistical significance, suboptimal preparation procedures and operator bias. While alternative techniques exist that provide ensemble information in solution, their implementation is generally challenging for non-monodisperse populations. Herein, we explore the use of small-angle X-ray scattering in combination with form-free Monte Carlo fitting of scattering profiles as an alternative to conventional electron microscopy imaging in providing access to any type of core size distribution. We report on a cross-method comparison for quasi-monodisperse, polydisperse and bimodal gold nanoparticles of 2-7 nm in diameter and discuss advantages and limitations of both techniques.

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Type
research article
DOI
10.1039/c9nr09481d
Web of Science ID

WOS:000542747100020

Author(s)
Yang, Ye
Liao, Suiyang  
Luo, Zhi  
Qi, Runzhang
Mac Fhionnlaoich, Niamh
Stellacci, Francesco  
Guldin, Stefan  
Date Issued

2020-06-14

Published in
Nanoscale
Volume

12

Issue

22

Start page

12007

End page

12013

Subjects

Chemistry, Multidisciplinary

•

Nanoscience & Nanotechnology

•

Materials Science, Multidisciplinary

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Physics, Applied

•

Chemistry

•

Science & Technology - Other Topics

•

Materials Science

•

Physics

•

particle-size distribution

•

tem

•

distributions

•

saxs

•

nmr

•

diffraction

•

retrieval

•

software

Note

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SUNMIL  
Available on Infoscience
July 9, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/169923
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