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Pesticide residues identification by impedance time-sequence spectrum of enzyme inhibition on multilayer paper-based microfluidic chip

机译:多层纸微流体芯片对酶抑制阻抗时序谱的杀虫剂残留物

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摘要

Different organophosphorus pesticides (OPs) normally vary in the level of toxicity to human health, but common electrochemical identification methods usually require complex electrode fabrication processes and high detection cost. To overcome these problems, a pesticide residues identification method based on multilayer paper-based microfluidic chip was proposed. The microfluidic chip integrates the enzyme inhibition and a label-free screen-printed carbon electrode (SPCE). Three different pesticides were selected as study objects, respectively, avermectin, phoxim, dimethoate. This chip realizes on-chip identification via analyzing impedance time-sequence spectrum data aroused by the enzyme inhibition during the 15 min period. A classification model based on principal component analysis (PCA) and support vector machines (SVMs) was established to evaluate these data. Furthermore, the real-world sample (lettuce) was tested to verify the feasibility of the proposed detection method. The results showed that the classification accuracy was achieved around 93% in multiple experiments. Therefore, the method has good stability and specificity in rapid identification of different pesticides. Practical Applications Identification of pesticide types is essential to human health, for this, impedance time-sequence spectrum data aroused by the enzyme inhibition during the 15 min period was used to establish a classification model to identity different types of pesticides. In this article, multilayer paper-based microfluidic chip and a label-free screen-printed carbon electrode (SPCE) was proposed without complicated operation steps and expensive cost, which provide a basis for establishment of the rapid pesticide discriminator.
机译:不同的有机磷农药(OPS)通常在人体健康的毒性水平上变化,但常见的电化学识别方法通常需要复杂的电极制造方法和高检测成本。为了克服这些问题,提出了一种基于多层纸微流体芯片的农药残留方法。微流体芯片整合酶抑制和无标记的丝网印刷碳电极(SPCE)。选择三种不同的农药作为研究对象,Avermectin,Phoxim,二甲酯。该芯片通过分析在15分钟期间通过酶抑制引起的阻抗时间序列谱数据来实现片上识别。建立基于主成分分析(PCA)和支持向量机(SVM)的分类模型来评估这些数据。此外,测试了真实世界的样本(生菜)以验证所提出的检测方法的可行性。结果表明,在多个实验中,分类精度约为93%。因此,该方法具有良好的稳定性和特异性在不同农药的快速鉴定中。实际应用鉴定农药类型对于人体健康至关重要,为此,通过酶抑制期间唤起15分钟期间的阻抗时间序列谱数据来建立识别不同类型的农药的分类模型。在本文中,提出了一种基于多层纸的微流体芯片和无标记的屏幕印刷的碳电极(SPCE),而无复杂的操作步骤和昂贵的成本,为建立快速农药鉴别器提供了基础。

著录项

  • 来源
    《Journal of food process engineering》 |2020年第12期|e13544.1-e13544.11|共11页
  • 作者单位

    Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China;

    Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China;

    One Lin Tea Profess Cooperat Dantu Dist Zhenjiang Jiangsu Peoples R China;

    Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China;

    Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China;

    Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China;

    Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China;

    Jiangsu Univ Sch Agr Equipment Engn Zhenjiang 212013 Jiangsu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 23:27:21

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