基于NIRS技术的复合化肥成分定量分析及应用研究  

Quantitative Analysis of Contents in Compound Fertilizer and Application Research Using Near Infrared Reflectance Spectroscopy

作　　者：宋乐[1] 张红[1] 倪晓宇[1] 吴林[1] 刘斌美[2] 余立祥[2] 王琦[1] 吴跃进[1] 

机构地区：[1]中国科学院合肥物质科学研究院技术生物与农业工程研究所,安徽合肥230031 [2]中国科学院离子束生物工程学重点实验室,安徽合肥230031

出　　处：《光谱学与光谱分析》2014年第1期73-77,共5页Spectroscopy and Spectral Analysis

基　　金：国家科技部农业科技成果转化基金重大项目(2010GB2C300185);企业创新重大攻关项目和服务中原经济区建设科技成果转化支撑计划项目(2012204);中国科学院战略性先导专项(XDA08040107)资助

摘　　要：提出了一种基于近红外漫反射光谱测定复合肥料中尿素、缩二脲和水分等成分含量的新方法。文中在对原始光谱进行预处理后建立了检测这三种成分含量的偏最小二乘(PLS)模型,其检验决定系数R2值分别为0.986 1和0.971 3,所建立模型的交互验证均方根误差RMSECV分别为2.59,0.38,0.132,模型预测相关因子分别为0.973 3,0.921 5,0.967 9;从市售的复合化肥中选取六种样品验证模型的准确性,其相关因子分别为0.923 7,0.978 6,0.987 4。研究结果表明,该方法可以对复合肥料中尿素、缩二脲和水分等成分含量进行快速测定,与传统分析方法相比具有分析时间短、操作简便、环保无污染等优点,有较好的应用前景和实际意义。In the present study, a new approach to fast determining the content of urea, biuret and moisture in compound fertiliz- er composed of urea, ammonium dihydrogenphosphate and potassium chloride was proposed by using near infrared diffuse reflec- tance spectroscopy. After preprocessing the original spectrum, partial least squares （PLS） models of urea, biuret and moisture were built with the R2 values of 0. 986 1, 0. 977 0 and 0. 971 3 respectively, the root mean square crrors of cross validation were 2.59, 0. 38, 0. 132 respectively. And the prediction correlation factors were 0. 973 3, 0. 921 5 and 0. 967 9 respectively. The authors detected six kinds of compound fertilizer in market for the model verification, the correlation factors were 0. 923 7, 0. 978 6 and 0. 987 4 respectively. The data implied that the new method can be used for situ quality control in the production process of compound fertilizer.

关 键 词：近红外光谱 漫反射 复合肥料 尿素 缩二脲 水分 偏最小二乘模型 

分 类 号：O657.3[理学—分析化学]