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基于错流渗滤的病毒样颗粒拆解过程监测框架:追踪产品特性和过滤性能。

Process monitoring framework for cross-flow diafiltration-based virus-like particle disassembly: Tracing product properties and filtration performance.

作者信息

Hillebrandt Nils, Vormittag Philipp, Dietrich Annabelle, Hubbuch Jürgen

机构信息

Institute of Engineering in Life Sciences, Section IV: Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Baden-Württemberg, Germany.

出版信息

Biotechnol Bioeng. 2022 Jun;119(6):1522-1538. doi: 10.1002/bit.28063. Epub 2022 Mar 6.

Abstract

Virus-like particles (VLPs) are an emerging biopharmaceutical modality with great potential as a platform technology. VLPs can be applied as gene therapy vectors and prophylactic or therapeutic vaccines. For non-enveloped VLPs, recombinant production of the protein subunits leads to intracellular self-assembly. The subsequent purification process includes VLP dis- and reassembly which aim at removing encapsulated impurities and improving particle properties. Filtration-based separation and processing has proven successful for VLPs but requires large product quantities and laborious experiments in early development stages. Both challenges can be tackled by implementation of process analytical technology (PAT) to efficiently obtain extensive process information. In this study, an existing PAT setup was extended to comprehensively monitor the diafiltration-based disassembly of hepatitis B core antigen (HBcAg) VLPs. Process-related signals were monitored in-line, while product-related signals, such as ultraviolet light (UV) spectra as well as static and dynamic light scattering (SLS and DLS), were monitored on-line. The applicability of the sensors for disassembly monitoring was evaluated under varying processing conditions. HBcAg VLP subunit concentrations were accurately predicted based on UV data using ordinary and partial least squares regression models (Q from 0.909 to 0.976). DLS data were used for aggregation monitoring while the SLS intensity qualitatively reflected the disassembly progress.

摘要

病毒样颗粒(VLPs)作为一种新兴的生物制药形式,作为一种平台技术具有巨大潜力。VLPs可作为基因治疗载体以及预防性或治疗性疫苗。对于无包膜的VLPs,蛋白质亚基的重组生产会导致细胞内自组装。随后的纯化过程包括VLP的解离和重新组装,其目的是去除包封的杂质并改善颗粒性质。基于过滤的分离和处理已被证明对VLPs是成功的,但在早期开发阶段需要大量产品和繁琐的实验。这两个挑战都可以通过实施过程分析技术(PAT)来有效获取广泛的过程信息来解决。在本研究中,扩展了现有的PAT设置,以全面监测基于渗滤的乙型肝炎核心抗原(HBcAg)VLPs的解离。在线监测与过程相关的信号,同时在线监测与产品相关的信号,如紫外光(UV)光谱以及静态和动态光散射(SLS和DLS)。在不同的处理条件下评估了传感器用于解离监测的适用性。使用普通和偏最小二乘回归模型(Q值从0.909到0.976)基于UV数据准确预测了HBcAg VLP亚基浓度。DLS数据用于聚集监测,而SLS强度定性地反映了解离过程。

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