新型农药残留快速检测技术研究进展

王冬伟; 刘畅; 周志强; 王鹏

doi:10.16801/j.issn.1008-7303.2019.0090

新型农药残留快速检测技术研究进展

doi: 10.16801/j.issn.1008-7303.2019.0090

中国农业大学理学院，北京食品营养与人类健康高精尖创新中心，北京 100193

基金项目: 国家自然科学基金 (21677175)

详细信息

作者简介:
王冬伟，男，博士研究生，E-mail：dw_wang@cau.edu.cn

通讯作者:
王鹏，通信作者 (Author for correspondence)，男，博士，教授，主要研究方向为农药环境行为，E-mail：wangpeng@cau.edu.cn

中图分类号: TQ450；O657
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出版历程
- 收稿日期: 2019-07-22
- 录用日期: 2019-08-31
- 刊出日期: 2019-12-01

Recent advances in rapid detection of pesticide residues

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Science, China Agricultural University, Beijing 100193, China

摘要

摘要: 农药残留检测关乎食品安全和人类健康问题。传统农药残留检测通常选择色谱法或色谱-质谱联用法等，具有准确、稳定等优势，但通常需要昂贵而复杂的大型仪器，样品前处理过程费时费力，对操作人员要求高。为了克服这些缺陷，一系列农药快速检测技术相继被开发出来。文章介绍了可用于农药残留快速检测的主要技术，包括生物传感器 (酶传感器、免疫传感器、适配体传感器、细胞传感器)、光谱技术 (近红外光谱、太赫兹时域光谱、拉曼光谱等) 与微流控技术，重点介绍了这些技术的原理、特点与最新研究进展，分析了目前农药快速检测技术存在的问题与未来的发展前景。
- 农药残留 /
- 快速检测 /
- 生物传感器 /
- 光谱技术 /
- 微流控技术 /
- 研究进展
Abstract: Detection of pesticide residues was a crucial for food safety. Generally, chromatography (gas chromatography, high performance liquid chromatography, chromatography-mass spectroscopy, etc.) was used for the detection of pesticide residues. However, these methods required expensive, large-scale and sophisticated instruments. To overcome the limits of chromatography, series of detection methods have been developed for the rapid, real-time and on-site determination of pesticide residues. In this review, rapid detection methods of pesticide residues, including biosensor (enzyme biosensor, immunosensor, aptamer sensor, whole-cell biosensor), spectroscopy (near infrared spectroscopy, terahertz spectroscopy, Raman spectroscopy, etc.), microfluidics and direct mass spectroscopy, and their principles, characteristic and recent advances have been summarized. Problems to be solved in the rapid detection of pesticide residues and future prospective have also been analyzed.
- pesticide residues /
- rapid detection /
- biosensor /
- spectroscopy /
- microfluidics /
- research progress

HTML全文

图 1 农药对酶催化活性抑制的示意图

Figure 1. Schematic representation of enzyme inhibition by pesticide

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图 2 还原氧化石墨烯-纳米金结合乙酰胆碱酯酶电化学检测农药残留^[15]

Figure 2. Electrochemical detection of pesticide residues based on rGO-AuNPs-AChE^[15]

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图 3 氮掺杂量子点-乙酰胆碱酯酶荧光法检测苯氧威^[18]

Figure 3. Fluorescence detection of fenoxycarb based on N-doped graphene quantum dots and AChE^[18]

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图 4 免疫传感器检测原理

Figure 4. Detection principle of immunosensor

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图 5 石墨烯功能化结合抗体碳电极用于阻抗滴定法检测对硫磷^[23]

Figure 5. Impedimetric detection of parathion by functionalized graphene immunosensor^[23]

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图 6 指数富集的配体系统进化技术原理示意图

Figure 6. Schematic representation of systematic evolution of ligands by exponential enrichment (SELEX)

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图 7 多菌灵的电化学适配体传感器检测^[32]

Figure 7. Detection of carbendazim based on electrochemical aptasenor^[32]

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图 8 触须阵列拉曼信号增强基底用于农药残留的取样与检测^[39]

Figure 8. Nanotentacle Raman signal enhance substrate for sampling and detection of pesticide residues^[39]

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