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2 - Characterization of a crystalline product

Published online by Cambridge University Press:  05 July 2015

Alison Lewis
Affiliation:
University of Cape Town
Marcelo Seckler
Affiliation:
Universidade de São Paulo
Herman Kramer
Affiliation:
Technische Universiteit Delft, The Netherlands
Gerda van Rosmalen
Affiliation:
Technische Universiteit Delft, The Netherlands
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Summary

Why this chapter is important

In a competitive market a product has to meet increasingly stringent quality demands, so a number of particle characteristics must be carefully controlled, such as:

  1. • crystal size distribution of the product

  2. • shape of the crystals

  3. • occurrence of polymorphism

  4. • mother liquor inclusions in the crystals

  5. • uptake of impurities in the crystal lattice

  6. • degree of agglomeration.

These characteristics determine most functional features of particulate materials during their use as products. In the food industry, for example, both the size distribution and the shape of ice crystals in ice cream are important (Myerson, 2001). The mean size of the ice crystals should be between 35 and 40 μm in order to give the required smooth texture and melt properties, whilst the crystals themselves must be round and smooth in order to give the correct mouthfeel. Obviously the impurity concentrations in food products must be very carefully controlled.

In the pharmaceutical industry, because of the final use of the compounds, strict specifications as regards size, morphology, dissolution properties and polymorphic form are enforced.

In the bulk chemical and extractive metallurgy industries, the “particle design” is crucial (Söhnel and Garside, 1992). The crystal size distribution and corresponding particle surface area are of particular importance, since these, together with the particle morphology, have a major impact on the particle processing characteristics. For example, solid–liquid separation by centrifugation or filtration, drying rates, particle flow properties, bulk density and thus packing characteristics, as well as propensity to cake are all critically dependent on these particle properties (Söhnel and Garside, 1992).

Crystal size distribution (CSD) or particle size distribution (PSD)

One of the main characteristics of a product is its crystal size distribution or, in the case of agglomerated or non-crystalline particles, its particle size distribution.

Type
Chapter
Information
Industrial Crystallization
Fundamentals and Applications
, pp. 26 - 50
Publisher: Cambridge University Press
Print publication year: 2015

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References

Accelrys. 2013. Morphology, http://accelrys.com/products/datasheets/morphology. pdf, Datasheet, Accessed 11 April 2013 [Online].
Bauer, J., Spanton, S., Henry, R.etal. 2001. Ritonavir: an extraordinary example of conformational polymorphism. Pharmaceutical Research, 18, 859–866.Google ScholarPubMed
Braga, D. and Grepioni, F. 2007. Making Crystals by Design, Wiley.Google Scholar
Cambridge Crystallographic Data Centre (CDCC). 2013. http://www.ccdc.cam.ac.uk/pages/Home. aspx, Accessed 12 April 2013 [Online].
Clydesdale, G., Roberts, K. J. and Docherty, R. 1996. HABIT95 - a program for predicting the morphology of molecular crystals as a function of the growth environment. Journal of Crystal Growth, 166, 78–83.Google Scholar
Davey, R. and Garside, J. 2000. From Molecules to Crystallizers, Oxford University Press.Google Scholar
Docherty, R., Roberts, K. J. and Dowty, E. 1988. Morang - a computer program designed to aid in the determinations of crystal morphology. Computer Physics Communications, 51, 423–430.CrossRefGoogle Scholar
Flory, P. J. 1985. Selected Works of Paul J. Flory, Volume III, Stanford University Press.Google Scholar
Fuerstenau, M. C. and Han, K. N. 2003. Principles of Mineral Processing, Society for Mining, Metallurgy & Exploration, Incorporated.Google Scholar
ter Horst, J. H. 2000. Molecular Modelling and Crystallization: Morphology, Solvent Effect and Adsorption, Universal Press Science Publishers.Google Scholar
Hund, F. 1981. Inorganic pigments: bases for colored, uncolored, and transparent products. Angewandte Chemie International Edition in English, 20, 723–730.CrossRefGoogle Scholar
Johnson, R. A., Miller, I. and Freund, J. E. 2011. Miller & Freund's Probability and Statistics for Engineers, Prentice Hall PTR.Google Scholar
Li, R. F., Thomson, G. B., White, G. et al. 2006. Integration of crystal morphology modeling and on-line shape measurement. AIChE Journal, 52, 2297–2305.CrossRefGoogle Scholar
Lovette, M. A. and Doherty, M. F. 2012. Predictive modeling of supersaturation-dependent crystal shapes. Crystal Growth & Design, 12, 656–669.CrossRefGoogle Scholar
Mullin, J. W. 2001. Crystallization, Butterworth-Heinemann.Google Scholar
Myerson, A. S. 2001. Handbook of Industrial Crystallization, Butterworth-Heinemann.Google Scholar
Randolph, A. D. and Larson, M. A. 1988. Theory of Particulate Processes: Analysis and Techniques of Continuous Crystallization, Academic Press.Google Scholar
Rawle, A. 2003. Basic of principles of particle-size analysis. Surface Coatings International. Part A, Coatings Journal, 86, 58–65.Google Scholar
Rohl, A., Wright, K. and Gale, J. 2003. Realistic Modeling of Complex Surface Processes. Nano Tech 2003, San Francisco.
Rohl, A. L. 2003. Computer prediction of crystal morphology. Current Opinion in Solid State and Materials Science, 7, 21–26.CrossRefGoogle Scholar
Söhnel, O. and Garside, J. 1992. Precipitation: Basic Principles and Industrial Application, Butterworth Heinemann Ltd.Google Scholar
Sunagawa, I. 2005. Crystals: Growth, Morphology and Perfection, Cambridge University Press.CrossRefGoogle Scholar
Van Driel, C. A. 1994. Influence of additives on structure and thermal stability of ammonium nitrate. PhD Thesis, Technical University of Delft.Google Scholar
Wolfram, S. 2002. A New Kind of Science, Wolfram Media.Google Scholar

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