|
|||||
|
|
| 近红外光谱法快速检测大米蛋白质含量 | |
| 引用本文： | 刘建学,吴守一,方如明.近红外光谱法快速检测大米蛋白质含量[J].农业机械学报,2001,32(3):68-70. |
| 作者姓名： | 刘建学 吴守一 方如明 |
| 作者单位： | 1. 洛阳工学院机械设计工程系博士, 2. 江苏理工大学生物与环境工程学院教授博士生导师, 3. 江苏理工大学生物与环境工程学院教授 |
| 摘 要： | 采用不同粒度的大米样品，用近红外光谱分析方法建立了其蛋白质含量的模型。大米蛋白质含量的模型预测值与化学测定值之间的相关系数达到0．94，预测标准差、平均相对误差及平均绝对偏差分别为0．43、2．1％和0．21。解决了传统的蛋白质化学测定方法检测时间较长的问题。 |
| 关 键 词： | 大米 蛋白质含量 光谱分析 主成分分析 |
| 修稿时间： | 2000年4月28日 |
Rapid Measurement of Rice Protein Content by Near Infrared Spectroscopy |
|
| Liu Jianxue,Wu Shouyi,Fang Ruming.Rapid Measurement of Rice Protein Content by Near Infrared Spectroscopy[J].Transactions of the Chinese Society of Agricultural Machinery,2001,32(3):68-70. | |
| Authors: | Liu Jianxue Wu Shouyi Fang Ruming |
| Institution: | Liu Jianxue(Luoyang Institute of Technology) Wu Shouyi Fang Ruming(Jiangsu University of Science and Technology) |
| Abstract: | The protein content (PC) in rice is one of the indexes to evaluate the nutrition and taste quality of rice. Normal determination of the PC by chemical method is of high expense and time consuming. So the protein contents of samples with various dimensions were measured by the near infrared spectroscopy (NIRS) and the prediction models were established. It was discovered that the less the partical is, the stronger the capability of the prediction model. The correlation coefficient between prediction value of rice PC and chemical value is 0 94, the standard error of prediction (SEP) is 0 43, the mean relative error (MRE) is 2 1%, and the mean absolute bias is 0 21. |
| Keywords: | Rice Protein content Spectroanalysis Principal component analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |