The determination of log normal particle size distributions by dynamic light scattering

Thomas, John C.

doi:10.1016/0021-9797(87)90182-2

Cited by 133 publications

(94 citation statements)

References 7 publications

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“…The radius obtained from TEM pictures, however, is a number-averaged value. One can calculate the number-averaged radius R N from the DLS result 30 by…”

Section: Resultsmentioning

confidence: 99%

Thermal diffusion behavior of hard-sphere suspensions

Ning¹,

Buitenhuis²,

Dhont³

et al. 2006

The Journal of Chemical Physics

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We studied the thermal diffusion behavior of octadecyl coated silica particles (R h = 27 nm) in toluene between 15.0 • C and 50.0 • C in a volume fraction range of 1% to 30% by means of thermal diffusion forced Rayleigh scattering. The colloidal particles behave like hard spheres at high temperatures and as sticky spheres at low temperatures. With increasing temperature, the obtained Soret coefficient S T of the silica particles changed sign from negative to positive, which implies that the colloidal particles move to the warm side at low temperatures, whereas they move to the cold side at high temperatures. Additionally, we observed also a sign change of the Soret coefficient from positive to negative with increasing volume fraction. This is the first colloidal system for which a sign change with temperature and volume fraction has been observed. The concentration dependence of the thermal diffusion coefficient of the colloidal spheres is related to the colloid-colloid interactions, and will be compared with an existing theoretical description for interacting spherical particles. To characterize the particle-particle interaction parameters, we performed static and dynamic light scattering experiments. The temperature dependence of the thermal diffusion coefficient is predominantly determined by single colloidal particle properties, which are related to colloid-solvent molecule interactions.

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“…The radius obtained from TEM pictures, however, is a number-averaged value. One can calculate the number-averaged radius R N from the DLS result 30 by…”

Section: Resultsmentioning

confidence: 99%

Thermal diffusion behavior of hard-sphere suspensions

Ning¹,

Buitenhuis²,

Dhont³

et al. 2006

The Journal of Chemical Physics

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“…DLS of mSiNC purified by Superdex 75 gel filtration HPLC was measured using a particle size instrument (Zetasizer Nano ZS 90; Malvern Instruments Limited). The results were analyzed by its software, and the average hydrodynamic diameter (z average) and polydispersity index were obtained (Koppel, 1972;Thomas, 1987).…”

Section: Methodsmentioning

confidence: 99%

Biocompatible fluorescent silicon nanocrystals for single-molecule tracking and fluorescence imaging

Nishimura¹,

Ritchie²,

Kasai³

et al. 2013

J Gen Physiol

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“…model [31], fractal model [32][33][34][35][36] and modified fractal model (fractal and nanolayer) [28,[37][38][39][40]. The accuracy of these models will also be specified and eventually the one with the greatest accuracy will be chosen.…”

Section: Nanofluid Thermal Propertiesmentioning

confidence: 99%

Experimental investigation of turbulent flow convection heat transfer of MgO/water nanofluid at low concentrations – Prediction of aggregation effect of nanoparticles

Motevasel¹

2017

IJHT

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The extent of increase in the convection heat transfer of MgO/water nanofluid was investigated at low concentrations within the range of 0.02 to 0.12 % vol, under turbulent flow and within the Reynolds number range of 11,000 to 49,000. It was found that at about 12 %, the heat transfer coefficient was increased compared with the base fluid, where on average, around 6 % increase was observed within the entire concentration range and the investigated Reynolds number. The aggregate effect of particles was examined in predicting the models for the determination of the physical properties of thermal conductivity and viscosity. It was observed that fractal models enjoy a greater accuracy when compared with other models. In addition, a model was proposed to predict the local heat transfer coefficient, in which the aggregate effect of nanoparticles was also investigated. It was observed that the relative average deviation of the proposed model is around 2.5 %, when compared with experimental values.

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The determination of log normal particle size distributions by dynamic light scattering

Cited by 133 publications

References 7 publications

Thermal diffusion behavior of hard-sphere suspensions

Thermal diffusion behavior of hard-sphere suspensions

Biocompatible fluorescent silicon nanocrystals for single-molecule tracking and fluorescence imaging

Experimental investigation of turbulent flow convection heat transfer of MgO/water nanofluid at low concentrations – Prediction of aggregation effect of nanoparticles

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