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Quicklime is a challenging material to be ground in a laboratory disc mill. Due to blockage of the grinding set, the pulverizing process might become insufficient leading to an incomplete grain size reduction.

Here, we show that real-time monitoring of the grinding vessel acceleration by using the PrepMaster Analytics allows the easy identification of insufficient grinding trials. This smart industry approach is a valuable tool for improving reproducibility of sample preparation and analysis in quicklime applications.


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