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首页> 外文期刊>Biotechnology and Bioengineering >Multiobjective Optimization of the Operation of a Liquid-Solid Circulating Fluidized Bed Ion-Exchange System for Continuous Protein Recovery
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Multiobjective Optimization of the Operation of a Liquid-Solid Circulating Fluidized Bed Ion-Exchange System for Continuous Protein Recovery

机译:用于连续蛋白质回收的液固循环流化床离子交换系统运行的多目标优化

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摘要

Like most real-life processes, the operation of liquid-solid circulating fluidized bed (LSCFB) system for continuous protein recovery is associated with several objectives such as maximization of production rate and recovery of protein, and minimization of amount solid ion-exchange resin requirement, all of which need to be optimized simultaneously. In this article,. multiobjective optimization of a LSCFB system for continuous protein recovery was carried out using an experimentally validated mathematical model to find the scope for further improvements in its operation. Elitist non-dominated sorting genetic algorithm with its jumping gene adaptation was used to solve a number of bi- and tri-objective function optimization problems. The optimization resulted in Pareto-optimal solution, which provides a broad range of non-dominated solutions due to conflicting behavior of the operating parameters on the system performance indicators. Significant improvements were achieved, for example, the production rate at optimal operation increased by 33%, using 110/6 less solid compared to reported experimental results for the same recovery level. The effects of operating variables on the optimal solutions are discussed in detail. The multiobjective optimization study reported here can be easily extended for the improvement of LSCFB system for other applications. Biotechnol. Bioeng. 2009;103: 873-890.
机译:像大多数现实生活中的过程一样,用于连续蛋白质回收的液固循环流化床(LSCFB)系统的运行与多个目标有关,例如最大化生产率和蛋白质回收率,以及最小化固体离子交换树脂的需求量,所有这些都需要同时进行优化。在这篇文章中,。使用经过实验验证的数学模型对LSCFB系统进行连续目标蛋白回收的多目标优化,以寻找进一步改善其操作范围的范围。 Elitist非主导排序遗传算法及其跳跃基因适应性被用于解决许多双目标和三目标函数优化问题。通过优化,得出了帕累托最优解决方案,该解决方案由于系统性能指标上运行参数的冲突行为而提供了广泛的非支配解决方案。实现了重大改进,例如,与报告的相同回收率实验结果相比,使用的固体含量减少了110/6,在最佳操作下的生产率提高了33%。详细讨论了操作变量对最优解的影响。此处报告的多目标优化研究可以轻松扩展,以改进LSCFB系统的其他应用。生物技术。生恩2009; 103:873-890。

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