UK-based Malvern Instruments has released new guidance on using automated image analysis to detect and quantify agglomerates. The ability of uncontrolled agglomeration to affect the performance and value of powder products makes efficient agglomerate detection vital across a number of industries. ‘Identification of agglomerates using automated image analysis’ presents practical strategies for efficiently differentiating agglomerates from primary particles, to support product development, quality control and process troubleshooting. 

Automated imaging is a fast and efficient technique for studying the morphological characteristics of particulate materials. The new guideline shows how the combination of size and shape data can be used to securely classify particles as agglomerates, enabling the amount of agglomerated material present in a blend to be quantified. To view the application note, visit: http://www.malvern.com/identifying-agglomerates.

 

Malvern Instruments’ advanced particle characterisation systems provide rapid and reliable agglomerate detection