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全全息视频显微镜在检测生物制药中不可见蛋白质颗粒方面的优势:与流动成像和共振质量测量的比较

The Strengths of Total Holographic Video Microscopy in Detecting Sub-Visible Protein Particles in Biopharmaceuticals: A Comparison to Flow Imaging and Resonant Mass Measurement.

作者信息

Rahn Harri, Oeztuerk Merve, Hentze Nikolai, Junge Friederike, Hollmann Markus

机构信息

AbbVie Deutschland GmbH & Co. KG, Knollstraße, Ludwigshafen 67061, Germany.

AbbVie Deutschland GmbH & Co. KG, Knollstraße, Ludwigshafen 67061, Germany.

出版信息

J Pharm Sci. 2023 Apr;112(4):985-990. doi: 10.1016/j.xphs.2022.12.023. Epub 2022 Dec 31.

Abstract

Determination of subvisible particle (SVP) content in biopharmaceuticals is a prerequisite to ensure the quality of liquid biopharmaceutical products. Here, we present a comparison of the recently introduced holographic video microscopy (total holographic characterization, THC) with two orthogonal and well-established analytical technologies: micro flow imaging (MFI) and resonant mass measurement (RMM). The capabilities of the THC were investigated under conditions commonly applied in drug product development. Three different antibody products were used at different concentrations and formulations to cover a wide range of realistic use-cases. The comparison was particularly focused on protein aggregates to investigate the applicability of THC to this critical class of particles in drug product development. Protein concentrations up to 100 mg/ml were investigated covering a broad range of viscosity and refractive indices, both important parameters in particle detection. The comparison reveals that THC is highly sensitive to detect protein aggregates in a size range from 0.5 µm to 10 µm. THC shows a significant superiority to FI and RMM in detecting heterogenous protein aggregates which often appear as transparent and porous particles. Additionally, THC needs very small sample amount of about 30 µl and short measurement times, making it applicable for early development stages and high-throughput approaches. These results show that THC is a valuable supplement to the existing particle characterization method portfolio in drug product development.

摘要

测定生物制药中的亚可见颗粒(SVP)含量是确保液体生物制药产品质量的前提条件。在此,我们将最近推出的全息视频显微镜技术(全全息表征,THC)与两种正交且成熟的分析技术:微流成像(MFI)和共振质量测量(RMM)进行比较。在药品开发中常用的条件下研究了THC的性能。使用了三种不同浓度和制剂的抗体产品,以涵盖广泛的实际应用案例。该比较特别侧重于蛋白质聚集体,以研究THC在药品开发中对这类关键颗粒的适用性。研究了高达100 mg/ml的蛋白质浓度,涵盖了广泛的粘度和折射率范围,这两个都是颗粒检测中的重要参数。比较结果表明,THC对检测尺寸范围为0.5 µm至10 µm的蛋白质聚集体高度敏感。在检测通常呈现为透明和多孔颗粒的异质蛋白质聚集体方面,THC比FI和RMM具有显著优势。此外,THC所需样品量非常少,约为30 µl,测量时间短,使其适用于早期开发阶段和高通量方法。这些结果表明,THC是药品开发中现有颗粒表征方法组合的有价值补充。

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