玉米DDGS蛋白质含量近红外光谱预测模型的建立  

Prediction Model Establishment of Near Infrared Spectroscopy for Protein Content in Corn DDGS

作　　者：纳嵘[1] 胡波 尹慧 崔晓萌 雷茜[3,4] NA Rong;HU Bo;YIN Hui;CUI Xiaomeng;LEI Qian(Ningxia Polytechnic,Yinchuan 750021,China;Ningxia Da Bei Nong Science and Technology Co.,Ltd.(DBN),Yinchuan 750200,China;College of Biological Sciences and Engineering,North Minzu University,Yinchuan 750021,China;Key Laboratory for Storage and Processing of Plant-Based Agricultural Products,Yinchuan 750021,China)

机构地区：[1]宁夏职业技术学院,银川750021 [2]宁夏大北农科技实业有限公司,银川750200 [3]北方民族大学生物科学与工程学院,银川750021 [4]植物性农产品贮藏与加工重点实验室,银川750021

出　　处：《饲料博览》2023年第1期42-45,共4页Feed Review

基　　金：2020年度宁夏回族自治区教育厅高等学校科学研究项目(NGY2020133);北方民族大学中央高校基本科研业务费专项(2018XYZSK03)。

摘　　要：为准确测定玉米DDGS中蛋白质含量,采用近红外光谱分析技术结合改进最小二乘回归法(MPLS),以65个不同来源的玉米DDGS为样品,建立玉米DDGS蛋白质含量近红外光谱预测模型。结果显示:预测模型内部交叉验证标准误差(SECV)为0.0957,交叉验证相关系数(1-VR)为0.9888,外部交叉验证相对分析误差(RPDV)为3.60。表明近红外光谱分析模型可准确预测玉米DDGS蛋白质含量。In this study,the prediction model of protein content in corn distillers dried grains(DDGS)with solubles was established with samples of 65 different sources of corn DDGS feeds by using near-infrared reflectance spectroscopy(NIRS)and modified partial least-squares(MPLS)regression.The result showed that the standard error of cross validation(SECV)was 0.0957,1 minus the variance ratio(1-VR)was 0.9888,and ratio of performance to deviation of validation(RPDV)was 3.60.The experiments suggested that the protein contents of corn DDGS were exactly predicted by prediction model of near-infrared reflectance spectroscopy.

关 键 词：预测模型 近红外光谱 玉米DDGS 蛋白质含量 

分 类 号：S816.17[农业科学—饲料科学]