近红外光谱快速分析法在桂枝茯苓胶囊中的应用

目的:应用声光可调滤光器-近红外光谱技术建立一种用于桂枝茯苓胶囊快速定性、定量分析的新方法.方法:采用主成分分析(PCA)建立桂枝茯苓胶囊的定性分析模型,利用偏最小二乘法(PLS1)对桂枝茯苓胶囊中5个主要成分进行了同时、快速定量分析.结果:建立的桂枝茯苓胶囊定性分析模型可正确判断桂枝茯苓胶囊,以没食子酸、芍药苷、苯甲酰芍药苷、桂皮醛、丹皮酚为指标成分建立的桂枝茯苓胶囊定量分析模型准确性好,校正模型相关系数分别为0.924 2,0.938 4,0.924 2,0.933 6,0.934 7;验证集相关系数分别0.976 2,0.945 7,0.956 9,0.982 9,0.963 0;验证集相对预测误差均方根(RM-SEP)分别为1.10%,2.61%,0.577%,0.487%,2.27%;检验证明5个成分含量的预测值与化验值之间无显著性差异.结论:该方法是一种简便、快速、无损,可用于桂枝茯苓胶囊的快速定性定量分析.

A novel method for fast determination of components in Guizhi Fuling capsule by near infrared spectroscopy

Objective : To develop a new method to rapidly determine and identify Guizhi Fuling capsule by portable acousto-optic tunable filter-near infrared spectroscopy. Method : The qualitative model was set up using principal component analysis. The correlation models between the NIR spectra and the reference values of five major constituents were obtained with partial least squares method. Result : The identifying model accurately identified Guizhi Fuling capsule, and quantitative analytical models could precisely predicted the content of ellagic acid, baicalin, benzoylpaenoniflorin, cinnamaldehyde, and paeonol. The correlation coefficients of the calibration models were 0.924 2, 0.938 4, 0.924 2, 0.933 6, 0.934 7, the validation set coefficients of the calibration were 0.924 2, 0.938 4, 0.924 2, 0.933 6, 0.934 7, and the RMSEP were 1.138%, 3.014%, 0.751%, 0.625%, 3.455%, 1.363%, respectively. The results of external validation showed no significant difference between the predictive and the determining values by t-test. Conclusion : The method is accurate, rapid and non-destructive, and can be used for determining and identifying Guizhi Fuling capsule.