Titre
Benchmark of nanoparticle tracking analysis on measuring nanoparticle sizing and concentration
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Maguire, Ciarán M.
Auteure/Auteur
Sillence, Katherine
Auteure/Auteur
Roesslein, Matthias
Auteure/Auteur
Hannell, Claire
Auteure/Auteur
Suarez, Guillaume
Auteure/Auteur
Sauvain, Jean-Jacques
Auteure/Auteur
Capracotta, Sonja
Auteure/Auteur
Contal, Servane
Auteure/Auteur
Cambier, Sebastien
Auteure/Auteur
El Yamani, Naouale
Auteure/Auteur
Dusinska, Maria
Auteure/Auteur
Dybowska, Agnieszka
Auteure/Auteur
Vennemann, Antje
Auteure/Auteur
Cooke, Laura
Auteure/Auteur
Haase, Andrea
Auteure/Auteur
Luch, Andreas
Auteure/Auteur
Wiemann, Martin
Auteure/Auteur
Gutleb, Arno
Auteure/Auteur
Korenstein, Rafi
Auteure/Auteur
Riediker, Michael
Auteure/Auteur
Wick, Peter
Auteure/Auteur
Hole, Patrick
Auteure/Auteur
Prina-Mello, Adriele
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
2166-0468
Statut éditorial
Publié
Date de publication
2017-09-28
Volume
5
Numéro
4
Première page
041002
Peer-reviewed
Oui
Langue
anglais
Résumé
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.
PID Serval
serval:BIB_DEBE15A86663
Date de création
2018-01-16T15:41:59.938Z
Date de création dans IRIS
2025-05-20T22:50:36Z