Abstract: Fourier transform infrared spectroscopy (FT-IR) combined with soft independent modeling of class analogy (SIMCA) method was applied for tracing the geographical origin of glutinous rice. PCA (principal component analysis) models were built by the method of cross-validation based on such pre-treatments as nine-point Savitzky-Golay smoothing, baseline correction and Standard Normal Variate (SNV) normalization in the region of 3000－2800 cm-1 and 1760－1700 cm-1. Identification of glutinous rice from seven origins was performed by identification rate and rejection rate. Under the significance level of α＝0.05, the identification rates of predicted samples were 100% except for the glutinous rice (80%) from Hanzhong, Shaanxi province; the rejection rates were 100% except for glutinous rice from Wuxue, Hubei province (83%) and Hangzhou, Zhejiang province (97%). Thus, the combination of FT-IR and SIMCA is an effective and efficient strategy for identifying the geographic original of glutinous rice.

Key words: glutinous rice, FT-IR, SIMCA, geographical origin identification