ABSTRACT
Objective: To establish rapid quantitative analysis models of multiple indicators for quality control in the concentrating process of Lvjiao Buxue Granule (LBG) by means of near infrared spectroscopy(NIRS). Methods: Thesolid content (SC), totalpolysaccharides concentration (TPC), and ferulic acid concentration (FAC) were determined by weighing method, phenol-sulfuric acid method, and HPLC method, respectively. Calibration models of them were established with partial least squares regression (PLSR)method. The established models were applied to predicting the unknown samples for testing the performance of the models. Results: The correlation coefficients (r) of SC, TPC, and FAC were all above 0.9450.The root mean square error in calibration (RMSEC) and root mean square error in prediction (RMSEP) were very close, and the relative standard errors of predictions (RSEP) were all less than 10%, indicating that the models predicted and performed well. Conclusion: NIRS technique combined with chemo metrics can provide a novel efficient and environmental approach for the fast simultaneous determination of key quality indicatorsfriendly, and havethe potential application value in the concentration process of LBG.