Biologics Characterization and Analytical Development, Bristol-Myers Squibb, Hopewell, New Jersey, USA.
Pharm Res. 2018 Feb 8;35(3):58. doi: 10.1007/s11095-017-2306-0.
Characterizing submicron protein particles (approximately 0.1-1μm) is challenging due to a limited number of suitable instruments capable of monitoring a relatively large continuum of particle size and concentration. In this work, we report for the first time the characterization of submicron protein particles using the high size resolution technique of resistive pulse sensing (RPS).
Resistive pulse sensing, dynamic light scattering and size-exclusion chromatography with in-line multi-angle light scattering (SEC-MALS) are performed on protein and placebo formulations, polystyrene size standards, placebo formulations spiked with silicone oil, and protein formulations stressed via freeze-thaw cycling, thermal incubation, and acid treatment.
A method is developed for monitoring submicron protein particles using RPS. The suitable particle concentration range for RPS is found to be approximately 4 × 10-1 × 10 particles/mL using polystyrene size standards. Particle size distributions by RPS are consistent with hydrodynamic diameter distributions from batch DLS and to radius of gyration profiles from SEC-MALS. RPS particle size distributions provide an estimate of particle counts and better size resolution compared to light scattering.
RPS is applicable for characterizing submicron particles in protein formulations with a high degree of size polydispersity. Data on submicron particle distributions provide insights into particles formation under different stresses encountered during biologics drug development.
由于能够监测相对较大的粒径和浓度连续体的合适仪器数量有限,因此对亚微米级蛋白质颗粒(约 0.1-1μm)进行特征描述具有挑战性。在这项工作中,我们首次报告了使用电阻脉冲感应(RPS)的高尺寸分辨率技术对亚微米级蛋白质颗粒进行特征描述。
对蛋白质和安慰剂制剂、聚苯乙烯粒径标准品、用硅油污染的安慰剂制剂以及通过冻融循环、热孵育和酸处理处理的蛋白质制剂进行电阻脉冲感应、动态光散射和在线多角度光散射(SEC-MALS)的尺寸排阻色谱分析。
开发了一种使用 RPS 监测亚微米蛋白质颗粒的方法。使用聚苯乙烯粒径标准品,发现 RPS 适合的颗粒浓度范围约为 4×10-1×10 个颗粒/mL。RPS 的粒径分布与批量 DLS 的流体力学直径分布以及 SEC-MALS 的旋转半径分布一致。与光散射相比,RPS 粒径分布可提供颗粒计数的估计值和更好的尺寸分辨率。
RPS 适用于具有高度粒径多分散性的蛋白质制剂中亚微米颗粒的特征描述。亚微米颗粒分布数据可深入了解生物药物开发过程中遇到的不同应激下颗粒的形成情况。