Quantitation and speciation of residual protein within active pharmaceutical ingredients using image analysis with SDS-PAGE

化学 残余物 活性成分 色谱法 生物催化 布拉德福德蛋白质测定 过程分析技术 生物化学 计算机科学 生物信息学 化学工程 生物 催化作用 离子液体 工程类 生物过程 算法
作者
Joseph P. Smith,Nicole M. Ralbovsky,Mackenzie L. Lauro,Erik Hoyt,Erik D. Guetschow,Fengqiang Wang,John A. McIntosh,Zhijian Liu,Ian Mangion,Narayan Variankaval,Xiaodong Bu
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier BV]
卷期号:207: 114393-114393 被引量:16
标识
DOI:10.1016/j.jpba.2021.114393
摘要

Recent advances in biocatalysis and directed enzyme evolution has led to a variety of enzymatically-driven, elegant processes for active pharmaceutical ingredient (API) production. For biocatalytic processes, quantitation of any residual protein within a given API is of great importance to ensure process robustness and quality, pure pharmaceutical products. Typical analytical methods for analyzing residual enzymes within an API, such as enzyme-linked immunosorbent assays (ELISA), colorimetric assays, and liquid chromatographic techniques, are limited for determining only the concentration of known proteins and require harsh solvents with high API levels for analysis. For the first time, total residual protein content in a small molecule API was quantitated using image analysis applied to SDS-PAGE. Herein, a proposed methodology for residual protein detection, quantitation, and size-based speciation is presented, in which an orthogonal technique is offered to traditional analysis methods, such as ELISA. Results indicate that our application of the analytical methodology is able to reliably quantitate both protein standards and the total residual protein present within a final API, with good agreement as compared to traditional ELISA results. Further, speciation of the residual protein within the API provides key information concerning the individual residual proteins present, including their molecular weight, which can lead to improved process development efforts for residual protein rejection and control. This analytical methodology thus offers an alternative tool for easily identifying, quantitating, and speciating residual protein content in the presence of small molecule APIs, with potential for wide applicability across industry for biocatalytic or directed enzyme evolution efforts within process development.
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