Benchmark of nanoparticle tracking analysis on measuring nanoparticle sizing and concentration

Ciaran M. Maguire, Katherine Sillence, Matthias Roesslein, Claire Hannell, Guillaume Suarez, Jean Jacques Sauvain, Sonja Capracotta, Servane Contal, Sebastien Cambier, Naouale El Yamani, Maria Dusinska, Agnieszka Dybowska, Antje Vennemann, Laura Cooke, Andrea Haase, Andreas Luch, Martin Wiemann, Arno Gutleb, Rafi Korenstein, Michael RiedikerPeter Wick, Patrick Hole, Adriele Prina-Mello*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number041002
JournalJournal of Micro and Nano-Manufacturing
Volume5
Issue number4
DOIs
StatePublished - 1 Dec 2017

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