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Related Experiment Video

Updated: Jul 2, 2026

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

[Study of inversion and classification of particle size distribution under dependent model algorithm].

Xiao-Gang Sun¹, Hong Tang, Gui-Bin Yuan

¹Department of Automation Measurement and Control, Harbin Institute of Technology, Harbin 150001, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|August 30, 2008

Summary

A new method accurately determines particle size distribution using light scattering and inversion errors. This rapid technique, validated by simulations, offers reliable on-line particle sizing with minimal wavelengths.

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Last Updated: Jul 2, 2026

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

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Published on: January 9, 2017

Analysis and Specification of Starch Granule Size Distributions

Analysis and Specification of Starch Granule Size Distributions

Published on: March 4, 2021

Area of Science:

Optical Physics
Particle Characterization

Context:

Accurate particle size distribution is crucial in various scientific and industrial applications.
Traditional light scattering methods can be complex and require extensive data.
Developing efficient and reliable particle sizing techniques is an ongoing challenge.

Purpose:

To propose and validate a novel inversion and classification method for total light scattering particle sizing.
To determine particle size distribution using inversion errors and a dependent model algorithm.
To enhance the efficiency and reliability of particle size measurement, reducing the need for multiple wavelengths.

Summary:

A new method utilizes an inversion and classification algorithm based on known mathematical models of particle distribution functions.
The genetic algorithm accurately retrieves particle size distribution functions using only three visible light wavelengths, demonstrating steady and reliable inversion results.
Simulation experiments show low inversion errors ( <5% for single peak, <10% for bimodal) even with 5% noise in transmission extinction data, with a processing time under 2 seconds.

Impact:

This method significantly reduces the number of required wavelengths, increasing light source selectivity.
The technique is simple, rapid, and suitable for on-line particle size measurement.
Provides a feasible and accurate approach for determining particle size distribution in real-time applications.