Filterability prediction of needle-like crystals based on particle size and shape distribution data

Open access
Date
2019-03-18Type
- Journal Article
Citations
Cited 26 times in
Web of Science
Cited 27 times in
Scopus
ETH Bibliography
yes
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Abstract
The isolation and further treatment of particles generated in a crystallization process is dependent on their size and shape. The work presented here analyzes the filtration performance of needle-like particles, which often exhibit long filtration times or high retention of mother liquor. The size and shape of populations of l-Glutamic Acid and d-Mannitol particles are measured using an automated image analysis approach (as well as a standard light scattering method), and their associated cake resistance is determined in pressure filtration experiments. Using a partial least squares regression analysis we develop a model of the process and show that relative cake resistances can be predicted if the particle size distributions are accurately known. Furthermore, we show that the statistical model calibrated on a single compound (either of those used for this study), can be exploited to predict the relative cake resistances of another compound. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000313196Publication status
publishedExternal links
Journal / series
Separation and Purification TechnologyVolume
Pages / Article No.
Publisher
ElsevierSubject
Filtration; Needle-like crystals; Particle size and shapeOrganisational unit
03484 - Mazzotti, Marco / Mazzotti, Marco
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Show all metadata
Citations
Cited 26 times in
Web of Science
Cited 27 times in
Scopus
ETH Bibliography
yes
Altmetrics