Objective: In order to explore a rapid approach to determine dulcitol content in Euonymus fortune. Method: Based on fourier transform infrared spectroscopy (FTIR) and used the result of High Performance Liquid Chromatography (HPLC) as controls

partial least square method (PLS)

principal component regression (PCR) and multiple linear regression (MLR) were employed to determine the content of Dulcitol in Euonymus fortune collected from 8 different producing areas quantificationally. Result: The results showed that the forecasted values by those of three regression methods basically tallied with the actual values by HPLC method

there was no significant difference among them(P<0.05) and no system errors; The MLR result was optimal with mean standard error of 0.160

0.296 and the average relative standard deviationwas of 4.475%

6.643% respectively when the crude drugs and its methanolic extract of Euonymus fortune were selected to determine the value of dulcitol solely

which were less than PLS and PCR methods. Conclusion: The quantitative correction model has stronger capability of determination

the detection on real-time was implemented rapidly with the Fisher model

proposed the model has more practical value.