Blending of Log Normal Particle Size Distribution Data From Multiple Image Analyses Into a Single Continuous Data Set

摘要

Image analysis is one method by which particle size may be measured. In many cases, it is considered the "gold standard" of particle size measurement and is often used to verify the results of other techniques. Sample particle size distributions are often broad, sometimes covering two to three decades of particle diameter. It is also common to analyze samples that are multi-modal (e.g., a single sample that may contain primary particles and hard agglomerates with overlapping particle size distributions). Typical results when analyzing these samples are frequently inaccurate at the particle size extremes, depending on the instrument operating parameters used. This paper describes a methodology by which data from multiple image analyses that use different operational parameters are exported from the instrument into a suitable spreadsheet. The data are then blended into a useful continuous particle size distribution with optimal accuracy.