Filterability prediction of needle-like crystals based on particle size and shape distribution data
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Date
2019-03-18
Publication Type
Journal Article
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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.
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published
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Journal / series
Volume
211
Pages / Article No.
768 - 781
Publisher
Elsevier
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Edition / version
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Date collected
Date created
Subject
Filtration; Needle-like crystals; Particle size and shape
Organisational unit
03484 - Mazzotti, Marco (emeritus) / Mazzotti, Marco (emeritus)