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Application of a Statistical Approach to Process Development of Futibatinib by Employing Quality-by-Design Principles.Part 3:Development of Design Space for Control of Particle Size Distribution

机译:采用质量源于设计原则的统计方法在富替替尼工艺开发中的应用.第3部分:粒径分布控制设计空间的开发

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This study constructs a control strategy with a design space of the particle size distribution for futibatinib using a design of experiment and statistical approach without an additional milling process to save resources for validating consistency and equivalence.First,an L_(12)orthogonal experiment of the Plackett-Burman type is designed to identify the risk of whether 11 potential critical process parameters in the recrystallization process are in fact critical process parameters.Next,the effect of particle size distribution is confirmed by changing the levels of the process parameters of agitated drying in the two-trial manufacturing;we find that the agitated drying time is a critical process parameter.Then,we prove that there is little out-of-specification risk of the particle size distribution considering manufacturing error and analytical error using the Monte Carlo approach.Finally,this study confirms the reimplementation of failure mode and effect analysis as risk evaluation improves the understanding of the manufacturing process and reduces the particle size distribution risk of futibatinib by clarifying the process.Based on the quality-by-design concept,we construct a design space and control strategy for the particle size distribution,focusing on experimental design and statistical analysis.This study clarifies that the agitated drying process affects the particle size more than other parameters do.By examining the overall process,this study demonstrates that particle size can be controlled sufficiently without the milling process.It proves that the commercial manufacturing method is a robust process,and futibatinib can be stably produced.
机译:本研究采用实验设计和统计方法构建了富替替尼粒径分布设计空间的控制策略,无需额外的研磨过程,以节省验证一致性和等效性的资源。首先,设计了Plackett-Burman型L_(12)正交实验,以确定再结晶过程中11个潜在关键工艺参数是否为关键工艺参数的风险。其次,通过改变两次试制中搅拌干燥工艺参数的水平来确认粒度分布的影响;我们发现搅拌干燥时间是一个关键的工艺参数。然后,使用蒙特卡罗方法证明了考虑到制造误差和分析误差的粒度分布不合格风险很小。最后,本研究证实了失效模式和效应分析的重新实施,因为风险评估提高了对制造过程的理解,并通过澄清工艺降低了富替巴替尼的粒度分布风险。基于质量源于设计理念,构建了粒径分布的设计空间和控制策略,重点进行实验设计和统计分析。这项研究阐明了搅拌干燥过程对粒径的影响大于其他参数。通过对整个过程的考察,本研究表明,无需研磨过程即可充分控制粒度。证明商业化生产方法是一个稳健的工艺,富替替尼可以稳定生产。

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