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![]() In contrast, in the volume-weighted results a few large particles might outweigh numerous smaller particles.īoth representations have their merits depending on what is required from a measurement. Number weighting gives equal representation to the fine and the coarse fraction. The main difference between these weightings is the representation of the fine fraction compared to the coarse fraction. In contrast, the diffraction of light is proportional to the volume of the particle, therefore techniques such as laser diffraction or X-ray diffraction deliver volume-weighted results.įigure 1 shows an example of how the particle size distribution (PSD) of a mixture containing 1 µm, 2 µm, and 3 µm particles would look like in different weightings. Volume-weighted distribution (% in volume)Īs an example, a microscope sees the diameter of each individual particle, so this technique will deliver a number-weighted result.Surface-weighted distribution (% in surface).Number-weighted distribution (% number).The main weighting models used to analyze particle size distribution are: To deliver useful information, the chosen parameter should be easy to calculate, be specific enough, and have a direct connection to the substance’s property of interest.ĭifferent measurement techniques “see” the particles in a different way, which translates to a different weighting as the result. Obtaining a meaningful description of a particulate system with many different particle sizes and shapes using just one or two parameters is challenging. multiple parameters to characterize particle size distribution. In this article, we introduce the basic terms and their use in particle size analysis and discuss the advantages and disadvantages of using single parameters vs. The key to understanding the results is to first know the meaning of these parameters. A large variety of techniques are available, which deliver an equally large variety of results in the form of means, averages, modes, and other parameters. Thanks to modern instrumentation, measuring the particle size distribution of a substance is an easy and straightforward task, which can often be performed in less than a minute. This information can then be used to modify the manufacturing processes that impact particle size and, ultimately, to use particle size distribution as a quality control parameter. In industry, the aim of particle size measurement is first and foremost to find a correlation between the particle size distribution and the property of interest (e.g., mouthfeel, reactivity, bioavailability, sintering behavior, etc.). It directly affects many material properties, from the accessibility of minerals during processing, to the absorption kinetics of drugs, and the mouthfeel of foods. Particle size is one of the most important characteristics of particulate materials. ![]()
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