Analytical algorithms based on Raman spectroscopy are proposed for the determination of amylopectin and amylose concentrations in polished white rice, and applied to characterize and compare linear and branched polysaccharide structures in nine different types of Japanese rice. A selected algorithm used symmetric bending vibrations of the COC glycosidic linkage from a relatively narrow spectral zone between 830 and 895 cm⁻¹. It specifically compared the intensity of Raman signals from two types of bending common to both starch components (C1-O-C5 and C1-O-C4 at 868 and 855 cm⁻¹, respectively) and that at the branch point peculiar to amylopectin (C1-O-C6 at 844 cm⁻¹). Raman data were confronted with data collected by conventional amylose-iodine colorimetry method. Consistency was found between Raman and colorimetric methods over the entire series of tested rice cultivars, thus validating the newly proposed spectroscopic algorithm. The amylose content of the tested rice species broadly varied between 1.2 and 20.4%. The proposed Raman algorithm allows fast and nondestructive determination of amylose content in rice with minimal sample preparation. These characteristics might be key in the development of portable Raman devices capable to promptly screen polysaccharides in different rice cultivars with respect to their interannual and plantation-related fluctuations.

提出了基于拉曼光谱的分析算法，用于测定精制白米中支链淀粉和直链淀粉的浓度，并将其用于表征和比较九种不同类型日本大米中线性和支链多糖的结构。一种选择的算法使用了来自830和895 cm ^-1之间相对较窄的光谱区的C O C糖苷键的对称弯曲振动。它专门比较了两种淀粉成分（分别在868和855 cm ^-1处分别为C1-O-C5和C1-O-C4 ）和两种支链淀粉特有的分支点处常见的两种弯曲类型的拉曼信号强度（ C1-O-C6在844 cm ^-1）。拉曼数据与通过常规直链淀粉-碘比色法收集的数据相对。在整个测试水稻品种系列中，拉曼法和比色法之间存在一致性，从而验证了新提出的光谱算法。被测稻种的直链淀粉含量在1.2％和20.4％之间变化很大。提出的拉曼算法可以快速，无损地测定大米中的直链淀粉含量，而样品制备量最少。这些特性可能是便携式拉曼设备开发的关键，该设备能够根据其年际波动和与种植相关的波动迅速筛选不同水稻品种中的多糖。