基于NIRS技术的复合化肥成分定量分析及应用研究

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。

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

In the present study, a new approach to fast determining the content of urea, biuret and moisture in compound fertilizer composed of urea, ammonium dihydrogenphosphate and potassium chloride was proposed by using near infrared diffuse reflectance 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 errors 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.