利用拉曼光谱监测单克隆抗体生产过程中游离巯基的形成。

IF 3.1 3区 医学 Q2 CHEMISTRY, ANALYTICAL Journal of pharmaceutical and biomedical analysis Pub Date : 2024-10-16 DOI:10.1016/j.jpba.2024.116530
Zhenshu Wang , Andrew Hsieh , Patricia Rose , George Zhou , Sonja Battle , Kelly Raymond , Monica Haley , Aaron Cote , Sandra Bennun , Sanjeev Ahuja
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引用次数: 0

摘要

在生产过程中,收获的细胞培养液(HCCF)会因还原酶破坏链间二硫键而降解,形成含有游离巯基的低分子量(LMW)杂质和通过二硫杂化形成的高分子量(HMW)杂质。因此,检测和量化 HCCF 中游离巯基的增加至关重要。在本文中,拉曼光谱被用作一种过程分析技术,并应用多元数据分析来表征和量化 HCCF 中含二硫化物指示分子的巯基形成。拉曼光谱定性地探测了抗体中是否存在二硫键断裂,这与离线非还原毛细管电泳十二烷基硫酸钠的结果一致。在研究的两种抗体中,mAb A 的抗体还原风险较高,在 16 小时内就能观察到巯基的形成,而 mAb B 即使在一周后也没有出现类似的问题。mAb A 在 HCCF 中的氧化还原电位离线测量值低于 -100 mV,而稳定的 mAb B HCCF 显示氧化还原电位高于 +20 mV。利用离线游离巯基测定法建立了一个多变量偏最小二乘法 (PLS) 定量模型,应用拉曼光谱预测游离巯基浓度,准确度高(R2 > 0.98),离线埃尔曼测定法的预期平均误差为 0.677 mM。这项工作证实了拉曼 PAT 可用于实时监测二硫化物还原,从而提高对工艺的理解和产品质量。
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Raman spectroscopy for monitoring free sulfhydryl formation during monoclonal antibody manufacturing
During production, harvested cell culture fluid (HCCF) can degrade due to reductases breaking interchain disulfide bonds, forming low molecular weight (LMW) impurities that contain free sulfhydryl and high molecular weight (HMW) impurities through disulfide shuffling. Thus, detecting and quantifying the free sulfhydryl increase in HCCF is critical. Herein, Raman spectroscopy is implemented as a process analytical technology, and multivariate data analysis is applied to characterize and quantify sulfhydryl formation in HCCF with disulfide-containing indicator molecules. Raman spectra qualitatively probe the presence or absence of disulfide bond breakage in antibodies, consistent with offline non-reduced capillary electrophoresis sodium dodecyl sulfate results. Between two antibodies studied, mAb A was identified for a higher risk of antibody reduction where sulfhydryl formation was observed within 16 h, while mAb B did not show similar concerns even after 1 week. The offline measurement of redox potential is below –100 mV in HCCF for mAb A, while the stable mAb B HCCF shows redox potentials above +20 mV. A multivariate partial least squares (PLS) model for quantification is developed using an offline free sulfhydryl assay, applying Raman spectra to predict free sulfhydryl concentration with high accuracy (R2 > 0.98) and expected mean error of 0.677 mM from the offline Ellman’s Assay. This work confirms the use of Raman PAT to monitor real-time disulfide reduction, enabling improvements to process understanding and product quality.
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来源期刊
CiteScore
6.70
自引率
5.90%
发文量
588
审稿时长
37 days
期刊介绍: This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome. Studies from areas of well established and poorly selective methods, such as UV-VIS spectrophotometry (including derivative and multi-wavelength measurements), basic electroanalytical (potentiometric, polarographic and voltammetric) methods, fluorimetry, flow-injection analysis, etc. are accepted for publication in exceptional cases only, if a unique and substantial advantage over presently known systems is demonstrated. The same applies to the assay of simple drug formulations by any kind of methods and the determination of drugs in biological samples based merely on spiked samples. Drug purity/stability studies should contain information on the structure elucidation of the impurities/degradants.
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