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首页> 外文期刊>Bulletin of the Korean Chemical Society >Application of the Quality-by-Design (QbD) Approach for Erythropoietin Alpha Purification
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Application of the Quality-by-Design (QbD) Approach for Erythropoietin Alpha Purification

机译:逐设计(QBD)方法对促红细胞生成素α纯化的应用

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This study was aimed at process characterization and improving quality of purification of erythropoietin a, a biopharmaceutical agent. In biopharmaceutical manufacturing, quality should always be targeted to ensure safety and efficacy. Design-of-experiments-based approaches have been explored to rapidly and efficiently achieve an optimized yield and an increased understanding of a product and process variables affecting the product's critical quality attributes in the biopharmaceutical industry; this system is known as the quality-by-design approach. Changes in three critical process parameters—buffer pH, flow rate, and loading amount—were evaluated. Process characterization was conducted on a scaled-down model previously validated by comparison with data from a large-scale production facility. Seven critical quality attributes—relative aggregate content, host cell protein, host cell deoxynucleotides, endotoxin, Z-value (N-glycan score), relative content of charge isomers, and step yield—were analyzed. Multivariate regression analysis was performed to establish statistical prediction models for performance indicators and quality attributes; accordingly, we constructed contour plots and conducted a Monte Carlo simulation to clarify the design space. As a result of the optimization analysis of the purification process, it was confirmed that proven acceptance ranges were optimized as follows: loading amount (mg/mL) 0.4-4.0, buffer pH 7.0-8.0, and flow rate (mL/min) 0.5-1.6.
机译:本研究旨在进行过程表征和提高促红细胞A,生物制药A的纯化质量。在生物制药制造业中,应始终有针对性的,以确保安全性和有效性。已经探索了基于设计的实验方法,以迅速有效地达到优化的产量和对影响生物制药业中产品批判性质量属性的产品和过程变量的增加;该系统被称为逐个质量的方法。评估三个关键过程参数缓冲pH,流速和加载量的变化。通过与来自大规模生产设施的数据进行比较,在先前验证的缩小模型上进行处理表征。分析了七种关键质量属性 - 相对骨料含量,宿主细胞蛋白,宿主细胞脱氧核苷酸,内毒素,Z值(N-聚糖评分),电荷异构体的相对含量和步骤产率 - 分析。进行多元回归分析以建立绩效指标和质量属性的统计预测模型;因此,我们构造了轮廓图,并进行了蒙特卡罗模拟,以阐明设计空间。由于纯化过程的优化分析,证实已经过验证的验收范围优化如下:加载量(Mg / ml)0.4-4.0,缓冲液pH 7.0-8.0和流速(ml / min)0.5 -1.6。

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