近红外光谱分析技术在阿莫西林颗粒厂家鉴别方面的定性研究

摘要

目的 研究近红外光谱技术定性分析不同厂家的阿莫西林颗粒的方法.方法 采用AntarisII近红外光谱仪采集不同生产厂家的阿莫西林颗粒的近红外光谱,利用偏最小二乘判别分析(PLSDA)方法建立了阿莫西林颗粒厂家鉴别方面的定性分析模型.结果 结果表明,采用标准正态分布法(SNV)作为光谱预处理方法,利用间隔偏最小二乘法(iPLS)选出6915~5376 cm-1的光谱区间建模,通过交互验证方法选出最佳光谱潜在变量数为8,采用上述参数建立的模型识别率和拒绝率均达100%.结论 本实验为鉴别不同生产厂家的阿莫西林颗粒提供一种新的方法,有利于进一步规范对市场中阿莫西林颗粒的监管,为其他相关药品的定性分析提供参考.%Objective To establish a rapid and effective method for the identification of Amoxicillin Granules from different manufacturers. Methods The spectra of samples were acquired by Antaris II near infrared spectrometer (NIRS), and the qualitative analysis model was established to identify the Amoxicillin Granules from different manufacturers with PLSDA. Results The PLDSA qualitative model established with pretreatment method of SNV and latent variable numbers of 8 in the spectra range (6915-5376 cm-1) selected by iPLS method had 100 % recognition rateand 100 % rejection rate. Conclusion The qualitative model with NIRS established in this experiment can strengthen the supervision of Amoxicillin Granules and provide the reference for the quality control of other similar drugs.