优化技术在生化工程和药物控制中的应用

S. Jujjavarapu, B. Singh
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引用次数: 0

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在启动生化代谢物生产的半中试/中试工厂之前,必须对发酵培养基进行优化。本章讨论了经典的和先进的媒体优化技术。统计方法为改进工艺和提高质量节省了实验时间。近年来,微生物培养的综合方法得到了发展。响应面法、人工神经网络、遗传算法、差分进化、蚁群优化等优化技术近年来因其在各个领域的广泛应用而受到关注。控释制剂在医药领域具有多种用途,已成为应用现代治疗概念的重要工具。对这类配方的工艺优化,数学建模可以起到重要作用。本章讨论了优化给药配方条件的各种方法。
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Optimization Techniques Applications in Biochemical Engineering and Controlled Drug Delivery
Before starting semi-pilot/pilot production plants for biochemical metabolites production, it is essential to optimize the fermentation media. This chapter discusses the classical and advanced techniques of media optimization. The statistical approaches save experimental time for developing processing and improving quality. Recent years have seen the growth of integrated approaches of microbial cultures. Optimization techniques such as response surface methodology, artificial neural network, genetic algorithms, differential evolution, ant colony optimization, etc. have received attention recently because of their major applications in various fields. Controlled release formulations have so many versatile applications in the field of pharmaceutical drugs that they have become important tools to apply the modern concept of therapeutic treatment. Process optimization of such formulations, mathematical modelling can play an important role. This chapter discusses various methodologies for optimization of formulation conditions for drug delivery.
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