Feng Yan-Chun, Hu Chang-Qin
National Institute for the Control of Pharmaceutical and Biological Products, Beijing 100050, PR China.
J Pharm Biomed Anal. 2006 May 3;41(2):373-84. doi: 10.1016/j.jpba.2005.11.027. Epub 2006 Jan 6.
Universal quantitative models using NIR reflectance spectroscopy were developed for the analysis of API contents (active pharmaceutical ingredient) in roxithromycin and erythromycin ethylsuccinate tablets from different manufacturers in China. The two quantitative models were built from 78 batches of roxithromycin samples from 18 different manufacturers with the API content range from 19.5% to 73.9%, and 66 batches erythromycin ethylsuccinate tablets from 36 manufacturers with the API content range from 28.1% to 70.9%. Three different spectrometers were used for model construction in order to have robust and universal models. The root mean square errors of cross validation (RMSECV) and the root mean square errors of prediction (RMSEP) of the model for roxithromycin tablets were 1.84% and 1.45%, respectively. The values of RMSECV and RMSEP of the model for erythromycin ethylsuccinate tablets were 2.31% and 2.16%, respectively. Based on the ICH guidelines and characteristics of NIR spectroscopy, the quantitative models were then evaluated in terms of specificity, linearity, accuracy, precision, robustness and model transferability. Our study has shown that it is feasible to build a universal quantitative model for quick analysis of pharmaceutical products from different manufacturers. Therefore, the NIR method could be used as an effective method for quick, non-destructive inspection of medicines in the distribution channels or open market.
利用近红外反射光谱法建立了通用定量模型,用于分析中国不同厂家生产的罗红霉素片和琥乙红霉素片中的活性药物成分(API)含量。这两个定量模型分别基于18个不同厂家的78批罗红霉素样品构建,API含量范围为19.5%至73.9%;以及36个厂家的66批琥乙红霉素片构建,API含量范围为28.1%至70.9%。为了建立稳健且通用的模型,使用了三种不同的光谱仪进行模型构建。罗红霉素片模型的交叉验证均方根误差(RMSECV)和预测均方根误差(RMSEP)分别为1.84%和1.45%。琥乙红霉素片模型的RMSECV和RMSEP值分别为2.31%和2.16%。根据ICH指南和近红外光谱的特点,随后对定量模型的特异性、线性、准确性、精密度、稳健性和模型可转移性进行了评估。我们的研究表明,建立一个通用定量模型用于快速分析不同厂家的药品是可行的。因此,近红外方法可作为一种有效的方法,用于在分销渠道或开放市场中对药品进行快速、无损检测。