Critical Experimental Evaluation of Key Methods to Detect, Size and Quantify Nanoparticulate Silver
Author(s) -
Claudia Cascio,
Douglas Gilliland,
François Rossi,
Luigi Calzolai,
Catia Contado
Publication year - 2014
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/ac503307r
Subject(s) - field flow fractionation , dynamic light scattering , chemistry , particle size , fractionation , sedimentation , particle (ecology) , nanoparticle , repeatability , analytical chemistry (journal) , particle size distribution , resolution (logic) , chromatography , transmission electron microscopy , nanotechnology , materials science , artificial intelligence , sediment , geology , computer science , biology , paleontology , oceanography
Different analytical techniques, sedimentation flow field fractionation (SdFFF), asymmetrical flow field flow fractionation (AF4), centrifugal liquid sedimentation (CLS) and dynamic light scattering (DLS) have been used to give complementary size information about suspensions of silver nanoparticles (AgNPs) in the size range of 20-100 nm by taking advantage of the different physical principles on which are based. Particle morphology was controlled by TEM (Transmission Electron Microscopy). Both SdFFF and AF4 were able to accurately size all AgNPs; among sedimentation based techniques, CLS underestimated the average sizes of larger samples (70 and 100 nm), but it produced the best separation of bimodal mixtures Ag40/60 and Ag40/70 mix compared to SdFFF. On the contrary, DLS overestimated the average sizes of the smallest samples (20 and 30 nm) and it was unable to deal with bimodal mixtures. Quantitative mass and number particle size distributions were also calculated starting from UV-vis signals and ICP-MS data and the results evaluated as a means to address the issue of determining nanoparticle size distributions as required for implementation of European regulations relating to labeling of nanomaterials in consumer products. The results are discussed in light of possible particle aggregation state, analysis repeatability, size resolution and quantitative recoveries.
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