Objective: This study aimed at establishing the quantitative model of moisture content in Gynoste Pentaphylli Herba Seu Radix by near infrared reflectance spectroscopy(NIRS). Method: The near infrared spectra of Gynoste Pentaphylli Herba Seu Radix with different batch numbers from various areas were collected

and were subject to the analysis by TQ Analyst 8.0 software. Near infrared spectra of all the samples were pretreated with First Derivative and Norris filter (3 segment length and 3 gap between segments). The wavebands containing 10 000-4 000 cm-1 were collected and the first 10 factors were used. The calibration model was built with partial least squares (PLS). Result: The quantitative calibration model had good correlation coefficients(R) and low root mean square error of cross validation(RMSECV)

with a r value equal to 0.968 8

RMSECV value equal to 0.303 and root mean square error of prediction(RMSEP) value equal to 0.284. The average rate of recovery of validation was 101.14% (n=11)

RSD 2.16%.At the same time

NIR instrument was good in precision.The samples had great performance in reproducibility and stability within 2 h. Conclusion: The quantitative calibration model of moisture content in Gynoste Pentaphylli Herba Seu Radix was proven to be credible and could be used to predict the moisture content in Gynoste Pentaphylli Herba Seu Radix accurately. The simple

fast and non-destructive advantages of NIRS can be used for quality control and exploitation of Gynoste Pentaphylli Herba Seu Radix.