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近红外光谱技术结合支持向量回归法测定烯草酮的含量 被引量:1

Determination of the Content of Clethodim by Near-infrared Spectroscopy and Support Vector Regression
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摘要 采用近红外光谱(NIR)技术结合支持向量回归法(SVR)建立了烯草酮乳油的定量分析方法。通过添加烯草酮原药、烯草酮助剂到二甲苯溶剂来配制不同浓度的校正集,采用SVR法建立了烯草酮的定量分析模型,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1.0000、0.0260、0.0569和0.0550。结果表明,近红外光谱技术结合支持向量回归法可以准确地定量分析乳油中烯草酮的含量,方法简单、快捷,在农药质量检测中具有实际应用价值。 The method of rapid determination of the content of clethodim in EC was established by near-infrared spectroscopy (NIR), combined with support vector regression (SVR). The calibration set was composed of samples with different contents of clethodim by adding clethodim TC and inert ingredient to xylene. 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 established by SVR for the content of active ingredient clethodim were 1.000 0, 0.026 0, 0.056 9 and 0.055 0, respectively. The results showed that the method of NIR combined with SVR could be used to quantitatively analyse the content of clethodim in EC, which was convenient and quick.
出处 《现代农药》 CAS 2012年第2期31-34,共4页 MODERN AGROCHEMICALS
基金 国家自然科学基金资助项目(20575076)
关键词 近红外光谱 支持向量回归 烯草酮 定量分析 NIR SVR clethodim quantitative analysis
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参考文献6

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