数字巴特沃思过器作为预处理方法,用于实施拉曼光谱作为生物制药下游加工中的分析方法
Jingyi Chen1, José Munoz Reyes1, Robin Schiemer2
1Boehringer Ingelheim Pharma GmbH / Co. KG, Biberach an der Riss, Germany; Institute of Functional Interfaces, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, 76344, Germany.
Journal of chromatography. A
|May 24, 2025
概括
巴特沃思波器通过减少噪声和纠正基线,有效预处理生物制药分析的拉曼光谱. 这种方法提高了光谱数据的质量,为关键质量属性提供了准确的化学测量建模.
科学领域:
- 分析化学 分析化学
- 生物制药学分析
- 频谱学是一种光谱学.
背景情况:
- 由于光谱变异,拉曼光谱在生物制药下游加工中面临着挑战.
- 精确的分子信息提取受到光谱仪,设置和光干扰的阻碍.
研究的目的:
- 探索巴特沃斯波器在拉曼光谱中进行基线校正和降噪.
- 优化Butterworth波器参数,以进行增强的生物制药分析.
- 开发化学测量模型来预测关键质量属性 (CQA).
主要方法:
- 研究了Butterworth高通和带通过器用于光谱预处理.
- 优化截止频率 (ωc) 以尽量减少基线变化,并最大限度地提高与蛋白质度的线性相关性 (r2).
- 使用预处理的拉曼数据开发和验证化学测量模型.
主要成果:
- 最佳的巴特沃斯高通过器 (ωc:0.004-0.008厘米) 实现了r2 ≥0.85,超过了萨维茨基-戈莱过器 (r2=0.68).
- 巴特沃斯带通波器显示,r2比高通路设计有11.6 - 15%的改进.
- 经过验证的化学测量模型在阳离子交换染色学中准确预测了IgG (R2=0.99) 和转素 (R2=0.95) 度.
结论:
- 巴特沃斯波器是生物制药分析中的拉曼光谱的强大的预处理工具.
- 优化的切断频率选择对于带通波器应用至关重要.
- 开发的方法能够对生物制药的CQAs进行可靠的线上预测.
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