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基于近红外光谱法,采用偏最小二乘法(PLS)分别建立了天舒胶囊乙醇提取过程固含量和阿魏酸浓度的定量校正模型,结果显示,固含量校正集和交叉验证集模型的相关系数(R2)分别为0.967 301和0.947 726,校正集误差均方根(RMSEC)为0.054 7,交互验证集误差均方根(RMSECV)为0.069 8;阿魏酸校正集和交叉验证集模型的相关系数(R2)分别为0.986 879和0.962 243,RMSEC为1.402 6,RMSECV为2.400 2。采用所建模型进行在线分析,固含量和阿魏酸的预测结果与实测值的相关系数(R2)为0.993 3和0.991 6,预测误差均方根(RMSEP)分别为0.039 3和1.669 3,预测平均相对偏差(RSEP)分别为3.49%和3.58%。结果表明,该文所建模型可用于天舒胶囊乙醇提取过程固含量和阿魏酸浓度的快速测定。
Based on near-infrared spectroscopy, a quantitative calibration model was established for the solid content and the ferulic acid concentration of Tianshu capsule ethanol extraction by partial least squares (PLS). The results showed that the correlation coefficients between the solid content calibration set and the cross-validation set model (R2) were 0.967 301 and 0.947 726 respectively. The root mean square error of calibration set (RMSEC) was 0.054 7 and RMSECV was 0.069 8. Correlation between ferulic acid calibration set and cross validation set model The coefficients (R2) were 0.986 879 and 0.962 243 respectively, the RMSEC was 1.402 6, and the RMSECV was 2.400 2. The correlation coefficients (R2) between the predicted and measured values of solid content and ferulic acid were 0.993 3 and 0.991 6, and the root mean square error of prediction error (RMSEP) were 0.039 3 and 1.669 3 respectively. The predicted Mean relative deviation (RSEP) were 3.49% and 3.58% respectively. The results show that the proposed model can be used for the rapid determination of solid content and ferulic acid concentration in the ethanol extraction process of Tianshu capsule.