中文摘要：

以183份稻米为样品，利用近红外透射光谱分析仪，对样品进行光谱扫描，并用快速黏度分析仪测定黏滞特性值消减值．采用多种计量数学处理方法和不同的回归统计方法进行定标曲线的开发和比较，得到了稻米消减值测定的近红外分析数学模型，数学模型的定标标准偏差（SEC）、交叉检验标准误差（SECV）和定标决定系数（RSQ）分别为：18．69，19．08和0．9497，相关性达极显著水平，内部交叉验证和外部验证结果表明近红外定量分析消减值有很高的准确度．该研究利用近红外透射光谱技术为快速准确无损测定黏滞特性指标提供了一条新途径．

英文摘要：

One hundred and eighty-three samples of rice were scanned by Foss Tecator Infratec 1255, and their setback were determined by RVA（Rapid Viseo Analyzer）. Several mathematics treatments to the sample spectra and several different regressin methods were adopted to optimize a good calibration equation for determination of setback of rice. The standard error of calibration （SEC）, standard error of cross-validation （SECV） and regression squared （RSQ） of the calibration selected werel8.69, 19.08 and 0.949 7. The NITS method has high accuracy in predicted tests of cress validation and independent validation. The method will offer a new approach of testing viscosity properties of rice starch with quick,precise and non-destructive characters.