CAJ | 학술논문

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.
재건립대두수분정표모형과정중,양품수집적난도비상대,차연구목적시위정표양품창건일개간첩、유효적수집방법.수선대대두주요성분단백질、지방、섬유소등여수분지간적관계진행분석,료해대두중단백분자여수분자적결합원리.기차채용가수윤습대두적방법,득도료유일정수분함량제도적균균분포양품.최후이용차양품진행근홍외정표,정표결과예측집결정계수체도0.992,표준오차부위0.082.결과표명:경인위가습수분여충자자연수분유동등적근홍외활도.인차,가이채용이인위가습수분적방법진행대두수분정표양품수집.
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 content gradient by artificial moisting soybean. Finally, it obtained the satisfied calibration result of r~2(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 moisfing method.