偏最小二乘回归
拉曼光谱
色散(光学)
校准
材料科学
化学计量学
衍生工具(金融)
过程分析技术
化学
分析化学(期刊)
色谱法
数学
光学
统计
物理
化学工程
金融经济学
经济
生物过程
工程类
作者
Ryo Ohashi,Fujii Aria,Kanako Fukui,Tatsuo Koide,Toshiro Fukami
标识
DOI:10.1016/j.ejps.2021.106095
摘要
Transmission Raman spectroscopy was used to develop a non-destructive quantitative analytical model for the assay of a crystal dispersion-type ointment containing acyclovir as a model drug with a concentration of 3% w/w. The obtained Raman spectra were pre-processed by applying multiplicative scatter correction, standard normal variate, and first or second derivative by the Savitzky-Golay method to optimize the partial least squares (PLS) regression model. The optimized PLS model showed good prediction performance for 85%, 100%, and 115% label claims, with average recovery values of 100.7%, 99.3%, and 99.8%, respectively. Although the material properties and manufacturing method of acyclovir and white petrolatum were expected to be different from those of the calibration set, the mean recovery value of the commercial product was 104.2%. These results indicate that transmission Raman spectroscopy is a useful process analytical technology tool for product development and quality control of a crystal dispersion-type ointment with low drug concentration.
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