摘要
目的:基于近红外光谱分析技术建立谷维素片的含量测定方法。方法:采集样品的近红外漫反射光谱,利用OPUS 6.5定量分析软件建立其光谱数据与含量的数学模型,并将通过该模型获得的预测值与紫外-可见分光光度法实际测定值进行比较,以验证该模型的可靠性。结果:根据46批校正集样品的相关数据经内部交叉验证建立的定量分析模型,交叉验证决定系数为92.78%,交叉验证均方根误差为0.364%。用19批验证集样品进行外部验证,预测均方根误差为0.295%,预测值与实际测定值的相关系数达0.948 1;预测值的平均回收率为99.81%。结论:建立的定量分析模型及方法用于谷维素片的含量测定简便、快捷,结果准确。
OBJECTIVE: To establish a method for the content determination of Oryzanol tablet based on near infrared (NIR) spectroscopy. METHODS: Collecting spectrums and content values of samples, mathematics model for spectrum and content was established by using OPUS 6.5, and the predicted values obtained by the model were compared with the measured values of the ul- traviolet visible spectrophotometry to verify the reliability of the model. RESULTS: The coefficient of determination of established quantitative analysis model based on 46 batches of samples by cross-calibration was 92.78%, root mean square error of cross valida- tion was 0.364%. Based on the validation of 19 batches of samples, the root mean square of prediction was 0.295%, the correla- tion coefficient of predicted values and measured values was 0.948 1. The mean recovery of predicted values was 99.81%. CON- CLUSIONS: The established quantitative analysis model and method is simple, rapid and accurate in the content determination of Oryzanol tablet.
出处
《中国药房》
CAS
北大核心
2016年第36期5132-5134,共3页
China Pharmacy
基金
广西壮族自治区食品药品监督管理局食品药品安全科研项目(No.桂食药监科评[2016]8号)
关键词
近红外漫反射光谱法
谷维素片
定量分析模型
含量
Near infrared diffuse reflectance spectroscopy
Oryzanol tablet
Quantitative analysis model
Content