A rapid predictive method based on near-infrared re°ectance spectroscopy (NIRS) of paddy rice was developed to measure the pasting properties of rice. The paddy rice samples were scanned by a near-infrared re°ectance spectrometer in the wavelength region of 1400-2400 nm and preprocessed by mathematical pretreatments prior to pasting properties analysis using a rapid visco-analyzer (RVA). The results indicated that the developed models of setback (SB), peak viscosity (PV), breakdown (BD) and consistency (CS) provided good prediction results with relatively high correlation coe±cients (0.81-0.96). In addition, the validity of the calibration models was statistically tested. Standard error of prediction (SEPÞ and bias were small enough without any signi¯cance at 95% con¯dence interval. Nonetheless, this study proved that the use of NIRS for predicting pasting properties was feasible in paddy rice and could be applied in commercial trade and research.
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