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Experimental Methods in Chemical Engineering: Particle Size Distribution by Laser Diffraction—PSD
Authors:He Li  Jingwen Li  Jeffrey Bodycomb  Gregory S Patience
Abstract:Particle size is the top cited physical property researchers report in The Canadian Journal of Chemical Engineering and among the top properties in all science disciplines. 1] Techniques to measure particle size distribution (PSD) include physical operations like sieving and sedimentation, and spectroscopic techniques like laser diffraction image analysis based on optical and electron microscopy, and elecro‐zone instruments. Here we concentrate on laser diffraction analysis (LDA) and review its basic principles, operations, limitations, uncertainties, and mention how it compares to other techniques. LDA is an instantaneous, user‐friendly, convenient, and non‐destructive method to assess PSD of inorganic powders. It measures the scattering angle and intensity of light after it passes through diluted particle dispersions suspended in either a gas or liquid. The Mie theory is an exact solution to resolve the diffraction intensity of light caused by particles that applies to while the Fraunhoffer approximation applies only to particles greater than 20 urn:x-wiley:00084034:media:cjce23480:cjce23480-math-0001m. The 95 % confidence interval of five measurements of 56 urn:x-wiley:00084034:media:cjce23480:cjce23480-math-0002m and 0.1 urn:x-wiley:00084034:media:cjce23480:cjce23480-math-0003m irregularly shaped polyhedrons was urn:x-wiley:00084034:media:cjce23480:cjce23480-math-0004. Based on a bibliometric analysis of LDA of the top 10 000 cited articles in 2016 and 2017, the major research clusters are: particle measurement, powder behaviour, pharmacy, comminution, and adsorption. Future work will continue to introduce more laser sources, combine multiple technologies, implement mobile light sources (dynamic light scattering), and better define characterize irregularly shaped particles.
Keywords:Mie theory  laser diffraction analyser (LDA)  particle size distribution (PSD)  sieve analysis
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