The simulated results proved that RNNPT method yields more accurate results in the determination of PSDs from MDLS than those obtained with the classical regulation method for both unimodal and multimodal PSDs. The measurement provides improved insight into all particle size populations present in the sample, as populations that may be weakly scattering at.

Then, to further study the stability and sensitivity of the proposed method, all examples were analyzed using correlation function data with different levels of noise. Multi-angle dynamic light scattering (MADLS ) delivers an angular-independent particle size distribution (PSD) with increased resolution by combining scattering information from multiple angles. Our apparatus uses standard, readily available optomechanical components. For comparison, reconstruction results got by a classical regularization method were included. We describe a light scattering apparatus based on a novel optical scheme covering the scattering angle range 0.5° 25°, an intermediate regime at the frontier between wide angle and small angle setups that is difficult to access by existing instruments. Description, The WyattQELS dynamic light scattering (DLS) module integrates into a DAWN, miniDAWN or microDAWN online multi-angle light scattering. First, the method was evaluated on simulated unimodal lognormal PSDs and multimodal lognormal PSDs. Furthermore, convergence behavior of the MR-L-curve method is in general superior to that of the L-curve method and the error of MR-L-curve method is monotone decreasing. And we obtained suitable regularization parameters for the algorithm by using MR-L-curve since the overall computational cost of this method is sensibly less than that of the L-curve for large problems. In this paper, a novel successive updating of the angular weighting (AWSU) method is proposed. However, determining the weighting coefficient is affected by the noise in the measured MDLS data. A correlation function is established using this light scattering data and from that the Hydrodynamic Radius can be calculated from the Dynamic Light Scattering data. Abstract The angular weighting coefficient is key to accurate particle size distribution (PSD) measurement using multiangle dynamic light scattering (MDLS). The procedure includes two main steps: 1) the calculation of the weighting coefficients by the recursion method, and 2) the PSD estimation through the RNNPT algorithm. The fluctuation of the scattered light at a certain angle as the effect of the Brownian Motion of the molecules and particles is detected in Dynamic Light Scattering.

We propose the Recursion Nonnegative Phillips-Twomey (RNNPT) algorithm, which is insensitive to the noise of correlation function data, for PSD reconstruction from MDLS measurements. Reliable estimation of PSD from MDLS measurements requires accurate determination of the weighting coefficients and an appropriate inversion method. Multiangle dynamic light scattering (MDLS) compensates for the low information in a single-angle dynamic light scattering (DLS) measurement by combining the light intensity autocorrelation functions from a number of measurement angles.