首页> 外文期刊>International Journal of Pharmaceutics >Quality-by-Design (QbD): An integrated process analytical technology (PAT) approach for a dynamic pharmaceutical co-precipitation process characterization and process design space development.
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Quality-by-Design (QbD): An integrated process analytical technology (PAT) approach for a dynamic pharmaceutical co-precipitation process characterization and process design space development.

机译:设计质量(QbD):一种用于动态制药共沉淀过程表征和过程设计空间开发的集成过程分析技术(PAT)方法。

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The aim of this work was to develop an integrated process analytical technology (PAT) approach for a dynamic pharmaceutical co-precipitation process characterization and design space development. A dynamic co-precipitation process by gradually introducing water to the ternary system of naproxen-Eudragit L100-alcohol was monitored at real-time in situ via Lasentec FBRM and PVM. 3D map of count-time-chord length revealed three distinguishable process stages: incubation, transition, and steady-state. The effects of high risk process variables (slurry temperature, stirring rate, and water addition rate) on both derived co-precipitation process rates and final chord-length-distribution were evaluated systematically using a 3(3) full factorial design. Critical process variables were identified via ANOVA for both transition and steady state. General linear models (GLM) were then used for parameter estimation for each critical variable. Clear trends about effects of each critical variable during transition and steady state were found by GLM and were interpreted using fundamental process principles and Nyvlt's transfer model. Neural network models were able to link process variables with response variables at transition and steady state with R(2) of 0.88-0.98. PVM images evidenced nucleation and crystal growth. Contour plots illustrated design space via critical process variables' ranges. It demonstrated the utility of integrated PAT approach for QbD development.
机译:这项工作的目的是开发一种用于动态药物共沉淀过程表征和设计空间开发的集成过程分析技术(PAT)方法。通过将水逐步引入萘普生-Eudragit L100-醇三元系统中,动态共沉淀过程通过Lasentec FBRM和PVM进行了实时现场监测。计数时间和弦长度的3D图显示了三个可区分的过程阶段:孵化,过渡和稳态。使用3(3)全因子设计系统地评估了高风险过程变量(浆料温度,搅拌速率和水添加速率)对导出的共沉淀过程速率和最终弦长分布的影响。通过ANOVA确定了过渡和稳态的关键过程变量。然后将通用线性模型(GLM)用于每个关键变量的参数估计。 GLM发现了有关过渡和稳态期间每个关键变量影响的明确趋势,并使用基本过程原理和Nyvlt的传递模型对其进行了解释。神经网络模型能够将过程变量与过渡和稳态时的响应变量链接起来,R(2)为0.88-0.98。 PVM图像证明成核和晶体生长。等高线图通过关键过程变量的范围来说明设计空间。它展示了集成PAT方法在QbD开发中的实用性。

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