2009
DOI: 10.1016/j.chroma.2009.06.037
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Asymmetrical flow field-flow fractionation with multi-angle light scattering detection for the analysis of structured nanoparticles

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Cited by 65 publications
(34 citation statements)
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“…Only a few studies have addressed the characterization of gold nanoparticles by AF4 [16][17][18][19][20]. In particular Rameshwar et al [18] showed that in the case of a AuNP stabilized by mercaptosuccinic acid, using AF4 was possible to separate as-synthesized nanoparticles into fractions of different sizes.…”
Section: Introductionmentioning
confidence: 99%
“…Only a few studies have addressed the characterization of gold nanoparticles by AF4 [16][17][18][19][20]. In particular Rameshwar et al [18] showed that in the case of a AuNP stabilized by mercaptosuccinic acid, using AF4 was possible to separate as-synthesized nanoparticles into fractions of different sizes.…”
Section: Introductionmentioning
confidence: 99%
“…F4 is universally applied to separate macromolecular solutions and particle suspensions based on differences in diffusion coefficient and, consequently, on hydrodynamic size or molar mass within a broad dynamic range (1 nm-50 m) [3]. Both soluble macromolecules and particulates can be analyzed in one experiment with high resolution (key feature when "free" reagents have to be separated from the fraction that is actually "bound" to functional particles [15]). Because separation takes place without the use of a stationary phase as applied in column chromatography, there is less danger of sample adsorption or physical plugging of the separation channel.…”
Section: Introductionmentioning
confidence: 99%
“…Flow FFF, another member of FFF family, has been tested for its applicability to size characterization of silica nanoparticles. [24][25][26] In this study, SdFFF was employed to analyze the size distribution of the silica nanoparticles. Results obtained by SdFFF were compared with those obtained by dynamic light scattering (DLS), field emission scanning electron microscope (FE-SEM) and energy-filtering transmission electron microscopy (EF-TEM).…”
Section: Introductionmentioning
confidence: 99%