粒子(生态学)
硅油
拉曼光谱
拉曼散射
材料科学
生物制药
蛋白质聚集
化学成像
粒径
纳米技术
显微镜
化学
计算机科学
光学
复合材料
人工智能
生物化学
海洋学
物理
物理化学
生物
高光谱成像
遗传学
地质学
作者
Brian J. F. Wong,Xi Zhao,Yongchao Su,H. Daniel Ou-Yang,Timothy Rhodes,Wei Xu,Hanmi Xi,Dan Fu
标识
DOI:10.1021/acs.molpharmaceut.3c00391
摘要
Particles in biopharmaceutical products present high risks due to their detrimental impacts on product quality and safety. Identification and quantification of particles in drug products are important to understand particle formation mechanisms, which can help develop control strategies for particle formation during the formulation development and manufacturing process. However, existing analytical techniques such as microflow imaging and light obscuration measurement lack the sensitivity and resolution to detect particles with sizes smaller than 2 μm. More importantly, these techniques are not able to provide chemical information to determine particle composition. In this work, we overcome these challenges by applying the stimulated Raman scattering (SRS) microscopy technique to monitor the C-H Raman stretching modes of the proteinaceous particles and silicone oil droplets formed in the prefilled syringe barrel. By comparing the relative signal intensity and spectral features of each component, most particles can be classified as protein-silicone oil aggregates. We further show that morphological features are poor indicators of particle composition. Our method has the capability to quantify aggregation in protein therapeutics with chemical and spatial information in a label-free manner, potentially allowing high throughput screening or investigation of aggregation mechanisms.
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