Application of infrared spectroscopy technique and chemometrics for measurement of components in rice after radiation.

摘要

Feasibility of using IR spectroscopy and chemometrics for quantitative assessment of amylose and protein content in rice after gamma irradiation was determined. Rice was treated at 250, 500, 750, 1000, 1500, 2000, 2500 and 3000 Gy and compared to untreated rice (0 Gy). NIR (1100-2500 nm) and mid-IR (MIR, 400-4000 cm-1) spectra of rice were compared to determine which produced the best prediction of components for irradiated rice. Least-squares support vector machine (LS-SVM) was used to construct calibration models for component analysis of amylose and protein individually. Optimum results built by LS-SVM were obtained when rp and RMSEP values were 0.8514 and 0.1519, respectively, for prediction of amylose in the NIR region and 0.8824 and 0.2012, respectively, for prediction of protein in the MIR region. Chemometrics based on LS-SVM were better than that of a back-propagation artificial neural network. Results show that NIR and MIR are more efficient for the analysis of components in irradiated rice.