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一种将包衣厚度分布与肠溶包衣微丸溶出曲线相关联的自上而下的光谱方法。

A top-down spectroscopic approach for correlating coating thickness distributions with the dissolution profiles of enterically coated pellets.

作者信息

Xi Wenjing, Yilmaz Huzeyfe, Gao Zongming, Rodriguez Jason D, Willett Daniel R

机构信息

Food and Drug Administration (FDA)/Center for Drug Evaluation and Research (CDER)/Office of Pharmaceutical Quality (OPQ)/Office of Testing and Research (OTR)/Division of Complex Drug Analysis (DCDA), 645 S. Newstead Ave., St. Louis, MO 63110, USA.

Food and Drug Administration (FDA)/Center for Drug Evaluation and Research (CDER)/Office of Pharmaceutical Quality (OPQ)/Office of Testing and Research (OTR)/Division of Complex Drug Analysis (DCDA), 645 S. Newstead Ave., St. Louis, MO 63110, USA.

出版信息

J Pharm Biomed Anal. 2023 Feb 5;224:115176. doi: 10.1016/j.jpba.2022.115176. Epub 2022 Nov 21.

Abstract

Pharmaceutical dosage forms such as tablets and capsules are often coated with a functional polymer to modify the drug release. To obtain the drug release profiles, ensure quality control and predict in-vivo performance, dissolution studies are performed. However, dissolution tests are time-consuming, sample destructive and do not readily allow for at-line or in-line characterization. Rapid assessment of functional coatings is essential for products where a single capsule is comprised of hundreds of functionally-coated pellets and the collective drug release kinetics of the entire capsule depends on contributions from each pellet. Here, single Raman measurements were used to evaluate the coating thickness distributions of a dosage form comprised of small, functionally-coated pellets in capsules. First, the composition and physicochemical properties of pellets were characterized by multivariate analysis assisted Raman mapping of pellet cross-sections. Second, a method of collecting single Raman spectrum with spectral contributions from the coating and API layers was developed and optimized to estimate the thickness of coatings. The coating thicknesses obtained from single Raman measurements of pellets in each capsule revealed thickness distributions that correlated with the dissolution profiles (capsules with one distribution had single stage release and capsules with two distributions had a two-stage release). Finally, an unsupervised multivariate analysis method was demonstrated as a rapid and efficient way to correlate dissolution profiles of enterically coated pellets. In summary, this study presents a non-destructive and rapid characterization method for assessing coating thickness and has the potential to be applied in process analytical technologies to ensure coating uniformity and predict product dissolution rate performance.

摘要

片剂和胶囊等药物剂型通常会用功能性聚合物包衣以改变药物释放。为了获得药物释放曲线、确保质量控制并预测体内性能,需进行溶出度研究。然而,溶出度测试耗时、会破坏样品,且不易进行在线或在线表征。对于单个胶囊由数百个功能包衣微丸组成且整个胶囊的集体药物释放动力学取决于每个微丸贡献的产品而言,对功能性包衣进行快速评估至关重要。在此,采用单拉曼测量来评估由胶囊中的小型功能包衣微丸组成的剂型的包衣厚度分布。首先,通过对微丸横截面的多变量分析辅助拉曼映射来表征微丸的组成和理化性质。其次,开发并优化了一种收集来自包衣层和原料药层光谱贡献的单拉曼光谱的方法,以估计包衣厚度。从每个胶囊中微丸的单拉曼测量获得的包衣厚度揭示了与溶出曲线相关的厚度分布(具有一种分布的胶囊有单阶段释放,具有两种分布的胶囊有两阶段释放)。最后,一种无监督多变量分析方法被证明是关联肠溶包衣微丸溶出曲线的快速有效方法。总之,本研究提出了一种用于评估包衣厚度的无损且快速的表征方法,并且有潜力应用于过程分析技术,以确保包衣均匀性并预测产品溶出速率性能。

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