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微量有機(jī)磷農(nóng)藥殘留近紅外光譜快速檢測(cè)方法
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Determination of Organophosphorus Pesticide Residue by Using Near-infrared Spectroscopy
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    摘要:

    以濾紙作為農(nóng)藥載體,,在波數(shù)4000~10000cm-1范圍內(nèi)獲取其近紅外光譜曲線,。分別采取偏最小二乘回歸法和最佳波段差值回歸法建立農(nóng)藥質(zhì)量比的預(yù)測(cè)模型。偏最小二乘回歸法在經(jīng)過多元散射校正和變量標(biāo)準(zhǔn)化預(yù)處理后得到的預(yù)測(cè)結(jié)果較好,預(yù)測(cè)相關(guān)系數(shù)為0.954,,通過最佳波段差值回歸法得到的預(yù)測(cè)相關(guān)系數(shù)為0.904。兩種建模方法都得到了較好的預(yù)測(cè)結(jié)果,。

    Abstract:

    Near-infrared (NIR) spectroscopy was used to measure trace chemicals, which could be useful for detection of pesticide residue in vegetable. Filter paper was used as the substrate. Pesticide solution was prepared by dissolving the commercial pesticide into distilled water at different concentrations. Samples were prepared by pipetting the solution onto the filter paper and then evaporated by vacuum drying oven. Then the spectra of samples were acquired in the region of 4000cm-1 to 10000cm-1 by NIR spectrometer. Partial least squares regression (PLSR) method and optimal band difference regression (OBDR) were used to establish prediction models respectively. Prediction results indicated that the PLSR models were able to predict the concentration of chlorpyrifos with 0.954 as the correlation coefficient of validation set, the OBDR models gave the best performance with 0.904 as the correlation coefficient of validation set. It could be concluded that NIR determination of pesticide was a low cost, environment friendly and potential method compare to the traditional methods. 

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陳菁菁,李永玉,王偉,彭彥昆,吳建虎,單佳佳.微量有機(jī)磷農(nóng)藥殘留近紅外光譜快速檢測(cè)方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(10):134-137.Determination of Organophosphorus Pesticide Residue by Using Near-infrared Spectroscopy[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(10):134-137.

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