Enhancing the Crystal Production Rate and Reducing Polydispersity in Continuous Protein Crystallization

被引:33
|
作者
Kwon, Joseph Sang-Ii [1 ]
Nayhouse, Michael [1 ]
Orkoulas, Gerassimos [1 ]
Christofides, Panagiotis D. [1 ,2 ]
机构
[1] Univ Calif Los Angeles, Dept Chem & Biomol Engn, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
基金
美国国家科学基金会;
关键词
EGG-WHITE LYSOZYME; PARTICULATE PROCESSES; PREDICTIVE CONTROL; SIZE DISTRIBUTION; SOLID PARTICLES; GROWTH; SHAPE; NUCLEATION; SOLUBILITY; SUSPENSION;
D O I
10.1021/ie5008163
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This article focuses on the modeling and control of a continuous crystallizer with a fines trap and a product classification unit employed to produce tetragonal hen-egg-white lysozyme crystals. A kinetic Monte Carlo model is initially developed to simulate the crystal nucleation, growth, and aggregation processes taking place in the crystallizer using experimentally determined rate expressions. Subsequently, the influence of varying (a) the flow rates of the streams to the fines trap and the product classification unit and (b) the corresponding cutoff sizes is studied, and as a result, an operating strategy that takes advantage of the aggregation, fines removal, and product classification units is proposed to simultaneously achieve a high production rate and a low polydispersity of the crystals produced by the crystallizer. Finally, a model predictive controller is designed using a reduced-order model, which manipulates the jacket temperature to lead to the production of crystals with the desired shape and size distributions.
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页码:15538 / 15548
页数:11
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