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A detection method of mixed pesticide content on/in apples viaRaman spectrum

机译:混合农药含量的检测方法/在苹果viaraman谱上

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During the detection of pesticide residue via Raman spectral technology, it was easily to find that the characteristic peak intensity of one pesticide in mixture was lower than that of single pesticide solution with same concentration. Thus a correction method was urgently needed to be applied in Raman spectral detection. Chlopyrifos and acetamiprid pesticides, representatives of organophosphorus pesticides, were widely used on apples and leaf vegetables. In this study, the interaction between chlorpyrifos and acetamiprid in Raman spectroscopy detection was investigated with specialized equipment. Surface enhancement Raman spectroscopy (SERS) technology was effective in detecting pesticide residue with low concentration and used in the study. DuringRaman spectral detection, the characteristic peaks of chlopyrifos in 631cm'1 and the ones of pyrimidine in 634cm'1 and 1114cm'1, which were used for qualitative and quantitative discrimination of chlopyrifos and pyrimidine pesticides, all decreased obviously. In the study, Self-Modeling Mixture Analysis was applied for differentiating adjacent characteristic peaks. A series of samples which were covered with mixed chlopyrifos and pyrimidine pesticides residue both at the same concentration of 20g/kg, lOg/kg, 2.5g/kg, 0.1 g/kg, 0.01 g/kg and 0.001g/kg were prepared before the detection. Thorough comparing the characteristic peak intensity of chlopyrifos and pyrimidine pesticides and the mixture of them with same concentration, a correction method was put forward to make up for the loss by mixing. This correction method could correct the detection result of chlorpyrifos and acetamiprid mixture in the concentrations from 0.001 g/kg to 20g/kg. Then the correction method was applied on the detection results of apple samples with mixed chlopyrifos and acetamiprid pesticides at different concentrations. By correcting the intensity of the characteristic peaks, the final detection result was corrected. And then another group of apple samples of single chlopyrifos and acetamiprid pesticides at different concentrations were prepared to check the correction method. Thorough the comparison with detection results of samples with single and mixed pesticides, the result was acceptable and the correlation coefficient R2 was more than 0.9, which proves the reliability of the correction method. The correction method could be used in Pyrethrum pesticides residue in the next study. The research provided a new detection method in detecting mixing pesticides on agricultural products.
机译:在通过拉曼光谱技术检测农药残留期间,很容易发现混合物中一个农药的特征峰强度低于单一浓度的单杀虫溶液。因此,迫切需要校正方法以在拉曼光谱检测中应用。 Chlopyrifos和acetamiprid农药,有机磷农药的代表,广泛应用于苹果和叶蔬菜。在该研究中,采用专业设备研究了拉曼光谱检测中氯吡啶和acetamiprid之间的相互作用。表面增强拉曼光谱(SERS)技术在检测低浓度并在研究中使用的杀虫剂残留物有效。在脉冲瘤光谱检测中,631CM'1中的氯吡啶的特征峰和634cm'1和1114cm'1中的嘧啶,用于对氯吡啶和嘧啶农药的定性和定量鉴别,所有这些都明显降低。在该研究中,应用自模拟混合物分析以区分相邻特征峰。以相同浓度的20g / kg,log / kg,2.5g / kg,0.1g / kg,0.01g / kg和0.001g / kg以相同浓度覆盖用混合的氯腺嘧啶和嘧啶杀虫剂残留物的一系列样品检测。彻底比较氯吡啶和嘧啶农药的特征峰强度和它们具有相同浓度的混合物,提出了一种通过混合来弥补损失。该校正方法可以校正含紫外紫外/ acetamiprid混合物的检测结果,浓度为0.001g / kg至20g / kg。然后在不同浓度下应用校正方法对苹果样品的苹果样品的检测结果和乙基哌啶杀虫剂。通过校正特征峰的强度,校正最终的检测结果。然后准备在不同浓度下进行另一组单氯腺嘧啶和acetamiprid杀虫剂的苹果样品以检查校正方法。彻底比较与单一和混合农药的样品的检测结果,结果是可接受的,相关系数R2大于0.9,这证明了校正方法的可靠性。校正方法可用于下一项研究中的除虫杀虫剂残留物。该研究提供了一种在农产品中检测混合农药的新检测方法。

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