基于近红外分析技术检测大豆脂肪酸含量的研究

为探索近红外光谱技术在大豆脂肪酸测试中的应用，寻找一种快速的检测方法。以黑龙江省各地的25份大豆品种为材料，采用Perten8620型近红外光谱仪对搜集到的样品进行扫描并得到光谱数据，采用多元线性回归(MLR)和偏最小二乘法(PLS)对试验数据进行了多元统计分析。结果表明：在1700～2300 nm范围内检测大豆脂肪酸含量是可靠的，并且PLS模型的性能优于MLR模型。该文还对近红外仪中的滤光片组合作了初步探讨，表明不同的滤光片组合对测量精度有一定影响。

Measurement of soybean fatty acid content by near infrared spectroscopy

In order to find out a fast measure method of the content of soybean fatty acid based on near infrared spectroscopy. There were 25 soybean samples collected in 2005 from the major soybean areas in Heilongjiang province were used to measure fatty acid content. Using Perten8620 type NIR to scan the collected samples and get the spectrum data. Then all data were analyzed by multi linear regression(MLR) and partial least square(PLS). Results show that NIR between 1700 nm and 2300 nm is applicable to the determination of soybean fatty acid, and PLS can produce a better prediction than MLR. Filer group selection was discussed in this study, the results show that the measurement accuracy will be influenced by filer group.