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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):462−473. 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):462−473. 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): 462−473. (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): 462−473. (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: 食品中农药残留严重损害消费者身体健康,新型检测方法研究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。本文系统综述了UCNPs的合成、修饰及其在农药残留检测中的相关研究,重点探讨了热分解、共沉淀等合成方法的优缺点,亲水性与靶向性表面修饰策略以及对有机磷类、新烟碱类、拟除虫菊酯类、氨基甲酸酯类及苯并咪唑类等农药残留的检测性能与传感机理。未来应聚焦于信号放大、实时检测、标准化等方面研究,以拓展基于UCNPs的检测方法的应用范围。

     

    Abstract: Pesticide residues in food seriously damage consumers' health, and research on novel detection methods is of great significance for ensuring food safety. Upconversion nanoparticles (UCNPs), characterized by high fluorescence intensity, strong anti-interference ability, and ease of modification, have become a research hotspot in the field of food safety detection. This paper systematically reviews the synthesis and modification of UCNPs and their related research in pesticide residue detection, with a focus on the advantages and disadvantages of synthesis methods such as thermal decomposition and co-precipitation, hydrophilicity and targeting surface modification strategies, and the detection performance and sensing mechanisms for pesticide residues including organophosphorus, neonicotinoid, pyrethroid, carbamate, and benzimidazole classes. Future research should focus on signal amplification, real-time detection, and standardization to expand the application scope of UCNPs-based detection methods.

     

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