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中国精品科技期刊2020
张宁,郭帅杰,胡雪莲,等. 上转换荧光纳米粒子的合成及其在农药残留检测中的应用进展J. 食品工业科技,2026,47(12):1−12. doi: 10.13386/j.issn1002-0306.2024120286.
引用本文: 张宁,郭帅杰,胡雪莲,等. 上转换荧光纳米粒子的合成及其在农药残留检测中的应用进展J. 食品工业科技,2026,47(12):1−12. doi: 10.13386/j.issn1002-0306.2024120286.
ZHANG Ning, GUO Shuaijie, HU Xuelian, et al. Synthesis of Upconversion Fluorescent Nanoparticles and Their Application Progress in Pesticide Residue DetectionJ. Science and Technology of Food Industry, 2026, 47(12): 1−12. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120286.
Citation: ZHANG Ning, GUO Shuaijie, HU Xuelian, et al. Synthesis of Upconversion Fluorescent Nanoparticles and Their Application Progress in Pesticide Residue DetectionJ. Science and Technology of Food Industry, 2026, 47(12): 1−12. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120286.

上转换荧光纳米粒子的合成及其在农药残留检测中的应用进展

Synthesis of Upconversion Fluorescent Nanoparticles and Their Application Progress in Pesticide Residue Detection

  • 摘要: 农药的广泛使用很大程度上保证了农产品食品的产量和质量。然而,违法或不规范使用农药极易导致食品中农药残留超标,严重损害了消费者的身体健康。因此,新型检测方法的开发对保障食品安全具有重要意义。上转换荧光纳米粒子(Upconversion nanoparticles, UCNPs)具有荧光强度高、抗干扰能力强、便于修饰等特点,成为当前食品安全检测领域的研究热点。目前,UCNPs的方法主要包括热分解法、共沉淀法、水/溶剂热法和溶胶-凝胶法,而修饰方法则可分为亲水性修饰和靶向性修饰。基于UCNPs构建的荧光检测方法已成功应用于食品中有机磷类、新烟碱类、拟除虫菊酯类、氨基甲酸酯类和苯并咪唑类等农药残留的检测。然而,通过对这些检测方法在实际样品应用中的特异性和分析效率的分析,发现基于UCNPs的检测方法在复杂基质干扰消除、痕量多残留同步检测以及便携式设备集成等方面仍需进一步优化。未来的研究应致力于提升这些性能,以更好地为农药残留的快速检测提供技术支持。

     

    Abstract: The widespread application of pesticides is crucial for ensuring the yield and quality of agricultural products. However, the illegal or improper use of pesticides can result in excessive pesticide residues in food, thereby posing a severe threat to consumer health. Currently, the synthesis methods of UCNPs mainly include thermal decomposition, co-precipitation, hydro/solvothermal methods, and sol-gel methods. The modification methods can be divided into hydrophilic modification and targeting modification. Fluorescence detection methods based on UCNPs have been successfully applied to the detection of pesticide residues such as organophosphates, neonicotinoids, pyrethroids, carbamates, and benzimidazoles in food. However, analysis of the specificity and analytical efficiency of these detection methods in actual sample applications reveals that the UCNPs-based detection methods still need further optimization in terms of eliminating interference from complex matrices, simultaneous detection of trace multi-residues, and integration into portable devices. Future research should focus on improving these performance aspects to better provide technical support for rapid pesticide residue detection.

     

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