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Journal article

Development of a sample preparation approach to measure the size of nanoparticle aggregates by electron microscopy

In Particuology 2019, Volume 45, pp. 49-57
From

University of Lincoln1

Fera Science Ltd.2

Vienna University of Technology3

University of Chester4

National Centre for Nano Fabrication and Characterization, Technical University of Denmark5

Nanocharacterization, National Centre for Nano Fabrication and Characterization, Technical University of Denmark6

Molecular Windows, Nanocharacterization, National Centre for Nano Fabrication and Characterization, Technical University of Denmark7

University of Hohenheim8

University of York9

University of Salzburg10

...and 0 more

Electron microscopy (EM) is widely used for nanoparticle (NP) sizing. Following an initial assessment of two sample preparation protocols described in the current literature as “unperturbed”, we found that neither could accurately measure the size of NPs featuring a broad size distribution, e.g., aggregates.

Because many real-world NP samples consist of aggregates, this finding was of considerable concern. The data showed that the protocols introduced errors into the measurement by either inducing agglomeration artefacts or providing a skewed size distribution towards small particles (skewing artefact).

The focus of this work was to develop and apply a mathematical refinement to correct the skewing artefact. This refinement provided a much improved agreement between EM and a reference methodology, when applied to the measurement of synthetic amorphous silica NPs. Further investigation, highlighted the influence of NP chemistry on the refinement.

This study emphasised the urgent need for greater and more detailed consideration regarding the sample preparation of NP aggregates to routinely achieve accurate measurements by EM. This study also provided a novel refinement solution applicable to the size characterisation of silica and citrate-coated gold NPs featuring broad size distributions.

With further research, this approach could be extended to other NP types.

Language: English
Year: 2019
Pages: 49-57
ISSN: 22104291 and 16742001
Types: Journal article
DOI: 10.1016/j.partic.2018.05.007
ORCIDs: Mølhave, Kristian and 0000-0002-3425-360X

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