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近红外光谱技术结合支持向量回归法测定非法对硫磷的含量

Determination of the Content of Illegal Parathion by Near-infrared Spectroscopy combined with Support Vector Regression

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【作者】 吴厚斌; 于荣; 刘苹苹; 穆兰; 刘丰茂; 张延秋; 江树人; 闵顺耕;

【Author】 WU Hou-bin1,2,yu rong2,LIU Ping-ping2,MU Lan2,LIU Feng-mao1,ZHANG Yan-qiu2,JIANG Shu-ren1,MIN Shun-geng1(1.College of Science,China Agriculture University,Beijing 100193,China; 2.Institute for the Control of Agrochemicals,Ministry of Agriculture,Beijing 100125,China)

【机构】 中国农业大学理学院; 农业部农药检定所;

【摘要】 [目的]采用近红外光谱(N I R)技术结合支持向量回归法(S V R)建立乳油中非法对硫磷的定量分析方法。[方法]通过向1.8%阿维菌素乳油中加入对硫磷原药和二甲苯溶剂来配制不同质量分数的校正集,采用SVR法建立非法对硫磷的定量分析模型。[结果]模型的决定系数(R2)、校正集均方根误差(RMSEC)、检验集均方根误差(RMSEV)、预测集均方根误差(RMSEP)分别为0.9994、0.4377、0.5065、0.7482。[结论]该法可以定量测定乳油中非法对硫磷的含量。

【Abstract】 [Aims] The method of determination of the content of illegal parathion in EC was established by near-infrared spectroscopy(NIR),combined with support vector regression(SVR).[Methods] The calibration set was composed of samples with different content of parathion by adding parathion TC and xylene to abamectin 1.8% EC.the model for the content of the illegal parathion was established by SVR.[Results] The determination coefficient(R2),root mean squared error of calibration(RMSEC),root mean squared error of validation(RMSEV),and root mean squared error of prediction(RMSEP) for the model were 0.9994,0.4377,0.5065 and 0.7482 respectively.[Conclusions] The results showed the method could be used to analyze the content of illegal parathion in EC quantitatively.

【关键词】 近红外光谱; 支持向量回归; 对硫磷; 定量; 分析;
【Key words】 NIR; SVR; parathion; quantitative; analysis;
【基金】 国家自然科学基金资助项目(20575076)
  • 【分类号】TQ450.7
  • 【被引频次】2
  • 【下载频次】64
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