Benchmark of nanoparticle tracking analysis on measuring nanoparticle sizing and concentration
Details
Serval ID
serval:BIB_DEBE15A86663
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Benchmark of nanoparticle tracking analysis on measuring nanoparticle sizing and concentration
Journal
Journal of Micro- and Nano-Manufacturing
ISSN
2166-0468
Publication state
Published
Issued date
28/09/2017
Peer-reviewed
Oui
Volume
5
Number
4
Pages
041002
Language
english
Abstract
One of the greatest challenges in the manufacturing and development of nanotechnologies is the requirement for robust, reliable, and accurate characterization data. Presented here are the results of an interlaboratory comparison (ILC) brought about through multiple rounds of engagement with NanoSight Malvern and ten pan-European research facilities. Following refinement of the nanoparticle tracking analysis (NTA) technique, the size and concentration characterization of nanoparticles in liquid suspension was proven to be robust and reproducible for multiple sample types in monomodal,
binary, or multimodal mixtures. The limits of measurement were shown to exceed the 30–600 nm range (with all system models), with percentage coefficients of variation (% CV) being calculated as sub 5% for monodisperse samples. Particle size distributions were also improved through the incorporation of the finite track length adjustment (FTLA) algorithm, which most noticeably acts to improve the resolution of multimodal sample mixtures. The addition of a software correction to account for variations between instruments also dramatically increased the accuracy and reproducibility of concentration
measurements. When combined, the advances brought about during the interlaboratory comparisons allow for the simultaneous determination of accurate and precise nanoparticle sizing and concentration data in one measurement.
binary, or multimodal mixtures. The limits of measurement were shown to exceed the 30–600 nm range (with all system models), with percentage coefficients of variation (% CV) being calculated as sub 5% for monodisperse samples. Particle size distributions were also improved through the incorporation of the finite track length adjustment (FTLA) algorithm, which most noticeably acts to improve the resolution of multimodal sample mixtures. The addition of a software correction to account for variations between instruments also dramatically increased the accuracy and reproducibility of concentration
measurements. When combined, the advances brought about during the interlaboratory comparisons allow for the simultaneous determination of accurate and precise nanoparticle sizing and concentration data in one measurement.
Keywords
Nanoparticles/analysis, Particle Size, Reproducibility of Results
Web of science
Create date
16/01/2018 16:41
Last modification date
20/08/2019 16:03