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An Integrated Downstream Process Development Strategy along QbD Principles

机译:遵循QbD原则的综合下游流程开发策略

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The development, optimization, and analysis of downstream processes are challenged by a high number of potentially critical process parameters that need to be investigated using lab-scale experiments. These process parameters are spread across multiple unit operations and potentially show interactions across unit operations. In this contribution, we present a novel strategy for bioprocess development that considers the risk of parameter interactions across unit operations for efficient experimental design. A novel risk assessment tool (interaction matrix) is introduced to the Quality by Design (QbD) workflow. Using this tool, the risk of interaction across unit operations is rated. Subsequently, a design of experiments (DoE) across unit operations is conducted that has the power to reveal multivariate interdependencies. The power of the presented strategy is demonstrated for protein isolation steps of an inclusion body process, focusing on the quality attribute inclusion body purity. The concentration of Triton X-100 in the course of inclusion body (IB) purification was shown to interact with the g-number of the subsequent centrifugation step. The presented strategy targets a holistic view on the process and allows handling of a high number of experimental parameters across unit operations using minimal experimental effort. It is generically applicable for process development along QbD principles.
机译:下游工艺的开发,优化和分析受到大量潜在关键工艺参数的挑战,需要使用实验室规模的实验进行研究。这些过程参数分布在多个单元操作中,并可能显示跨单元操作的交互。在这项贡献中,我们提出了一种新的生物工艺开发策略,该策略考虑了跨单元操作进行参数交互以进行有效实验设计的风险。一种新颖的风险评估工具(交互矩阵)被引入到“设计质量”(QbD)工作流程中。使用此工具,可以评估单元操作之间交互的风险。随后,进行了跨单元操作的实验设计(DoE),该设计具有揭示多元相互依赖性的能力。展示了所提出策略的力量,可用于包涵体过程的蛋白质分离步骤,重点在于包囊体纯度的质量属性。在包涵体(IB)纯化过程中,Triton X-100的浓度显示出与后续离心步骤的g值相互作用。提出的策略针对该过程的整体观点,并允许以最小的实验工作量在整个单元操作中处理大量实验参数。它通常适用于根据QbD原理进行的过程开发。

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