Top 10 Errors in Particle Analysis - And How to Avoid Them
Particle analysis is an integral part of the quality control of bulk materials. Various sources of error can negatively influence the results and should therefore be taken into consideration.
Various methods are used for particle analysis, the most common being laser diffraction, dynamic image analysis and sieve analysis. Successful analysis and meaningful results can only be achieved if preparatory steps such as sampling, sample division and sample preparation are carried out correctly. The selection of the appropriate method for the sample material and a meaningful evaluation of the measurement data finally lead to a successful particle analysis.
This white paper is intended to provide food for thought to make methods for particle characterization more reliable and accurate.
