Issue 1, 2015

Multiangle dynamic light scattering for the improvement of multimodal particle size distribution measurements

Abstract

Dynamic Light Scattering (DLS) is a widely used technique for measuring the size distributions of nano- and micro-particles dispersed in a liquid. The principle is based on the analysis of the temporal fluctuations of light scattered by the particles at a given scattering angle. However, single-angle DLS measurements may lack resolution and robustness, particularly for multimodal and/or polydisperse samples. Multi-angle Dynamic Light Scattering (MDLS) provides more robust, reproducible and accurate Particle Size Distributions (PSDs) than single-angle DLS. In this paper, a novel inversion method based on Bayesian inference is proposed for the estimation of the number PSD from MDLS measurements. The efficiency and robustness of this method is demonstrated through simulated and real data.

Graphical abstract: Multiangle dynamic light scattering for the improvement of multimodal particle size distribution measurements

Article information

Article type
Communication
Submitted
05 Sep 2014
Accepted
28 Oct 2014
First published
28 Oct 2014

Soft Matter, 2015,11, 28-32

Author version available

Multiangle dynamic light scattering for the improvement of multimodal particle size distribution measurements

M. Naiim, A. Boualem, C. Ferre, M. Jabloun, A. Jalocha and P. Ravier, Soft Matter, 2015, 11, 28 DOI: 10.1039/C4SM01995D

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