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Detection of pesticide residues on fruit surfaces using laser induced breakdown spectroscopy

机译：激光诱导击穿光谱检测果实表面上的农药残留

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摘要

The detection of pesticide residues on fruit surfaces is highly relevant to people's lives. Based on our previous research, we further explored the detection of chlorpyrifos residues on apple surfaces by laser induced breakdown spectroscopy (LIBS) in this paper. We observed the characteristic peaks of P at 213.62 nm, 214.91 nm, 253.56 nm, and 255.33 nm and the characteristic peak of Cl at 837.59 nm. We studied the influence of pesticide concentration and argon on the intensity of the LIBS signals. The intensity of the LIBS signal showed a linear relationship with the pesticide concentration, and argon could enhance the intensity of the LIBS signal. In the case of purging with argon, the characteristic peak of P was observed in the LIBS spectrum of a chlorpyrifos solution of 1 : 1000 dilution. Then we studied the differences in the LIBS signals of pesticide residues among different matrixes and pesticides. Finally, we performed the quantitative detection of the pesticide residues with LIBS, which will provide a reference for quantitative detection. Our work gives a new method for the fast detection of pesticide residues on fruit.
机译：对水果表面的农药残留物的检测与人们的生活高度相关。基于我们以前的研究，我们进一步探讨了本文激光诱导击穿光谱（Libs）对苹果表面上紫外线残留物的检测。我们观察到P的特征峰在213.62nm，214.91nm，253.56nm和255.33nm的特征峰值和​​837.59nm的Cl的特征峰。我们研究了农药浓度和氩气对LIBS信号强度的影响。 Libs信号的强度显示出与农药浓度的线性关系，并且氩气可以增强Libs信号的强度。在用氩气吹扫的情况下，在1：1000稀释的紫外溶液的Libs光谱中观察到p的特征峰。然后我们研究了不同基质和杀虫剂中农药残留的Libs信号的差异。最后，我们对Libs进行了对农药残留的定量检测，这将为定量检测提供参考。我们的作品为快速检测水果杀虫剂残留物提供了一种新方法。

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  • 来源
    《RSC Advances》 |2015年第97期|共8页
  • 作者

    Du Xiaofan; Dong Daming; Zhao Xiande; Jiao Leizi; Han Pengcheng; Lang Yun;

  • 作者单位

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Intelligent Equipment Agr Beijing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;
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