Objective: To rapidly analyse the three active components in Scutellaria extract by establishing calibration models with near-infrared reflectance spectroscopy(NIRS). Method: One hundred batches of Scutellaria extract samples from 12 different pharmaceutical factories were collected and they were divided into a calibration set(80 samples) and a validation set(20 samples).In combination with the partical least square(PLS)

the quantitative calibration models were established for baicalin

baicalein and wogonin. Result: All models had great calibration performance. The correlation coefficients of cross-validation(R2cv) were 0.994 8

0.998 7 and 0.994 8

the root-mean-square error of calibration(RMSEC) were 0.440

0.022 5 and 0.011 1

the root-mean-square error of cross-validation(RMSECV) were 2.259

0.055 3 and 0.048 3.The rest 20 samples were used to evaluate the performances of the models

the correlation coefficients of prediction(r2) were 0.988 2

0.996 5 and 0.990 9 and the root-mean-square error of prediction(RMSEP) were 0.486

0.027 1 and 0.011 0. Conclusion: The results indicated that the NIRS was simply; rapidly and exactly method for analysis of baicalin; baicalein and wogonin contents in Scutellaria extract.