近红外光谱分析方法在七叶皂苷钠快速检测中的应用研究  

Application of near infrared spectroscopy analysis method in rapid detection of sodium aescinate

作　　者：王伯阳 暴铱 李杰[1] 耿铮 WANG Boyang;BAO Yi;LI Jie;GENG Zheng(General Station for Drug&Instrument Supervision and Control,Joint Logistic Support Force of the PLA,Beijing 100071,China)

机构地区：[1]中国人民解放军联勤保障部队药品仪器监督检验总站,北京100071

出　　处：《药学实践杂志》2020年第4期364-367,共4页Journal of Pharmaceutical Practice

摘　　要：目的利用近红外光谱分析技术建立一种七叶皂苷钠的快检方法,用于注射用七叶皂苷钠药品的含量测定。方法应用OPUS软件对采集光谱进行优化处理,分别采用PLS算法和因子化算法,建立定量模型和定性模型。结果定量模型相关系数达到0.992 6,交叉验证均方根误差为0.253,在预测试验中,样品的预测值与真实测定值偏差均小于5%,能够准确预测七叶皂苷钠的含量。结论本研究建立的定性模型可有效区分未参与建模的其他品种样品,为该药品的快检筛查提供参考。Objective To establish a fast detection method of sodium aescinate by using near infrared(NIR) spectroscopy analysis method for the determination of the content of sodium aescinate for injection. Methods OPUS software was used to optimize the collected spectrum. PLS algorithm and factorization algorithm were used to establish quantitative model and qualitative model. Results The correlation coefficient of the quantitative model reached 0.992 6, the RMSECV deviation was0.253. The deviation between the predicted value of the sample and the true measured value was less than 5%, which could accurately predict the content of sodium aescinate. Conclution The qualitative model can effectively distinguish the samples of other varieties that have not participated in the modeling, and provide a reference for the rapid screening of the drug.

关 键 词：七叶皂苷钠 近红外 定量模型 定性模型 

分 类 号：R917[医药卫生—药物分析学]