人工提高大豆水分近红外活度研究  

Near Infrared Activity of Soybean Seed with Artificial Enhanced Moisture Content

作　　者：戴常军[1] 李辉[1] 李宛[1] 潘博[1] 刘通[1] 

机构地区：[1]黑龙江省农业科学院农产品质量检测中心,黑龙江哈尔滨150086

出　　处：《大豆科学》2009年第4期702-705,共4页Soybean Science

基　　金：黑龙江省农科院创新工程资助项目(2006-2008)

摘　　要：在建立大豆水分定标模型过程中,样品收集的难度非常大,此研究目的是为定标样品创建一个简捷、有效的收集方法。首先对大豆主要成分蛋白质、脂肪、纤维素等与水分之间的关系进行分析,了解大豆中蛋白分子与水分子的结合原理。其次采用加水润湿大豆的方法,得到了有一定水分含量梯度的均匀分布样品。最后利用此样品进行近红外定标,定标结果预测集决定系数达到0.992,标准误差仅为0.082。结果表明:经人为加湿水分与种子自然水分有同等的近红外活度。因此,可以采用以人为加湿水分的方法进行大豆水分定标样品收集。Sample collection is quite difficult in the process of establishing moisture content calibration model of soybean. The objective of this research was to find a simple and effective collection method for the calibration sample. First,it elucidated the water absorbing characters of soybean seed by analyzing the relationship between moisture content with soybean principal constituent including protein, fat and cellulose. Next,it obtained the distribution sample with certain moisture con- tent gradient by artificial moisting soybean. Finally,it obtained the satisfied calibration result of r2 （0. 992 ） and SEP （0. 082 ） by using this sample in near infrared calibration. The result indicates that same level near infrared activity exists in both artificial moisting and natural moisture content soybean. Therefore, we could collect the soybean moisture content calibration sample by artificial moisting method.

关 键 词：近红外活度 近红外光谱 定标模型 

分 类 号：TS214.2[轻工技术与工程—粮食、油脂及植物蛋白工程]