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Fourier-transform infrared spectroscopy as a process analytical technology for near real time in-line estimation of the degree of PEGylation in chromatography

机译:傅里叶变换红外光谱作为一种过程分析技术,用于接近实时在线估计色谱中的聚乙二醇质量

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摘要

PEGylation of biological macromolecules is a well-established strategy to increase circulation half-life, decrease renal clearance and improve biocompatibility. PEGylation is a process in which polyethylene glycol (PEG) is covalently attached to a target molecule. The production of PEGylated biopharmaceuticals is usually executed by first producing and purifying the base molecule followed by the PEGylation reaction and purification of the modified molecule. Most PEGylated pharmaceuticals are produced by random PEGylation in batch mode and need to be purified as mainly the mono-PEGylated form is the desired drug product. In this work we propose a method to estimate the degree of PEGylation (DOP) of modified protein eluting from a chromatography column in near real-time. extended multiplicative signal correction (EMSC) is used in conjunction with asymmetric least squares (aaLS) to alleviate the influence of a salt gradient during ion exchange chromatography (IEX) on the spectral data. To convert the raw data obtained from spectral data to the actual DOP additional information obtained from off-line measurements is utilized. Once the signal correction is applied to in-line spectral data the DOP can be estimated without further use of off-line analytics. As the prerequisites for the application of this method are relatively easy to obtain it may also find use to speed up process development. (C) 2019 Elsevier B.V. All rights reserved.
机译:生物大分子的聚乙二醇化是一种成熟的策略,以增加循环半衰期,降低肾间隙并改善生物相容性。聚乙二醇化是一种方法,其中聚乙二醇(PEG)共价连接到靶分子。通过首先通过首先生产和纯化基础分子,然后进行聚乙二醇化反应并纯化改性分子的纯化的生物制药。大多数聚乙二醇化的药物是通过批量模式的随机聚乙二醇化产生的,并且需要纯化,主要是单乙二醇化形式是所需的药物产品。在这项工作中,我们提出了一种方法来估算改性蛋白质在接近实时从色谱柱洗脱的聚蛋白(DOP)的程度。扩展的乘法信号校正(EMSC)与不对称最小二乘(AAL)结合使用,以减轻在光谱数据上的离子交换色谱(IEX)期间盐梯度的影响。为了将从光谱数据获得的原始数据转换为从离线测量获得的实际DOP附加信息。一旦信号校正应用于在线频谱数据,可以估计DOP而不进一步使用离线分析。由于该方法应用的先决条件相对容易获得它也可能找到用于加速过程开发的用途。 (c)2019 Elsevier B.v.保留所有权利。

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