CAJ | 학술논문

近红外反射光谱技术是一种高效、快速的现代分析技术,应用过程中需要建立相应的数学模型.收集油菜籽样品600余份,采用国际(家)标准方法对芥酸、硫苷、含油率进行测试,根据各模型的要求,选择不同的具有代表性的样品,建立数学模型.内部交叉证实法对模型验证结果显示:高芥酸、低芥酸、硫苷、含油率模型复相关系数分别为0.9677、0.9318、0.9820、0.9626,内部验证均方差(RMSECV)分别为4.41、2.24、4.62、0.543.外部样品检测法分别用已建模型和国际(家)标准方法对油菜籽样品芥酸、硫苷、含油率进行检测,两者检测结果基本一致.综合内部和外部验证结果表明:建立的模型能够满足油菜籽硫甘、芥酸及油份含量快速检测的要求.另对油菜自身含水率对数学模型的影响做了初步探索.
근홍외반사광보기술시일충고효、쾌속적현대분석기술,응용과정중수요건립상응적수학모형.수집유채자양품600여빈,채용국제(가)표준방법대개산、류감、함유솔진행측시,근거각모형적요구,선택불동적구유대표성적양품,건립수학모형.내부교차증실법대모형험증결과현시:고개산、저개산、류감、함유솔모형복상관계수분별위0.9677、0.9318、0.9820、0.9626,내부험증균방차(RMSECV)분별위4.41、2.24、4.62、0.543.외부양품검측법분별용이건모형화국제(가)표준방법대유채자양품개산、류감、함유솔진행검측,량자검측결과기본일치.종합내부화외부험증결과표명:건립적모형능구만족유채자류감、개산급유빈함량쾌속검측적요구.령대유채자신함수솔대수학모형적영향주료초보탐색.
Near-infrared reflectance (NIR) spectroscopy was a modern high-efficient and prompt analysis technique. But the mathematical models must be created before detection. More than 600 rapeseeds samples were collected. Erucic acid, total glucosinolates and oil content of them were detected by international or national standard methods. Different representative samples were chosen to create mathematical models according to different requirements. Cross validation showed that the multiple correlation coefficient of high erucic acid model, low erucic acid model, glucosinolates model and oil model were 0.9677, 0.9318, 0.9820, 0.9626 respectively. The RMSECV were 4.41, 2.24, 4.62, 0.543 respectively. The test results of erucic acid, glucosinolates and oil content in outer samples detected by the created models were basically consistent with that detected by the standard methods. Cross validation and outer samples test have proved that the created models were effective and reliable. The impact of water content in rapeseed samples in the models was studied too.