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Optimization Studies for Fast Dissolving Dosage Forms

机译:快速溶解剂型的优化研究

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Optimization of experiments, such as those used in drug discovery is useful for saving scientific resources. As bioavailabiUty, practical mass production criteria of process and product reproducibility are foremost requirements of any final product and to meet these requirements optimization of production process is a necessary step. The main goal of this chapter is to provide different approaches of optimization and important features, strengths and limitations of optimization techniques like factorial design, Taguchi design, response surface methodology, simplex lattice design that used for the optimization of fast dissolving drug delivery systems. Factorial design is the design of choice for simultaneous determination of the effect of several factors and their interactions while Taguchi method reduces the variation in a process through robust design of experiments. Response surface methodology is a collection of statistical and mathematical techniques useful for developing, improving and optimizing processes. Simplex lattice can be used to determine the relative proportion of ingredients and optimizes a formulation with respect to specified variables.
机译:优化实验(例如用于药物发现的实验)对于节省科学资源很有用。由于生物利用度,过程的实际批量生产标准和产品可重复性是任何最终产品的首要要求,而要满足这些要求,生产过程的优化是必不可少的步骤。本章的主要目的是提供不同的优化方法以及优化技术的重要特征,优势和局限性,例如因子设计,田口设计,响应面方法,单纯形点阵设计等,用于优化快速溶解药物输送系统。阶乘设计是同时确定几个因素的影响及其相互作用的选择设计,而Taguchi方法通过可靠的实验设计来减少过程中的变化。响应面方法是统计和数学技术的集合,可用于开发,改进和优化流程。单纯形晶格可用于确定成分的相对比例,并针对指定变量优化配方。

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