RESUMO
OBJECTIVE: To establish the quantitative model of naringin in Citrus Grandis Exocarpium by near infrared reflectance spectroscopy(NIRS). METHODS: NIRSs of 54 Citrus Grandis Exocarpium samples were collected and pretreated by TQ Analyst 8.0 software with first derivative + Norris filter. The wavebands in 10,000-4000 cm(-1) were collected and 9 numbers of factors were used. The calibration model was built with partial least squares (PLS). RESULTS: The quantitative calibration model had good correlation coefficients (r = 0.9927) and low root mean square error of calibration (RMSEC = 0.0746). Root mean square error of prediction (RMSEP) was 0.282. The average rate of recovery of validation was 101.65% (n = 9). CONCLUSION: The quantitative calibration model is trustworthy and it can be used to predict naringin in Citrus Grandis Exocarpium accurately. This simple, fast and non-destructive advantages of NIRS can be used for quality control and exploitation of Citrus Grandis Exocarpium.