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中国精品科技期刊2020
郭丹,周益清,路宇秋,等. 贵金属纳米团簇荧光传感技术在食品安全与质量检测中的研究进展[J]. 食品工业科技,2025,46(23):476−484. doi: 10.13386/j.issn1002-0306.2024120034.
引用本文: 郭丹,周益清,路宇秋,等. 贵金属纳米团簇荧光传感技术在食品安全与质量检测中的研究进展[J]. 食品工业科技,2025,46(23):476−484. doi: 10.13386/j.issn1002-0306.2024120034.
GUO Dan, ZHOU Yiqing, LU Yuqiu, et al. Research Progress of Noble Metal Nanocluster Fluorescence Sensing Technology for Food Safety and Quality Detection[J]. Science and Technology of Food Industry, 2025, 46(23): 476−484. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120034.
Citation: GUO Dan, ZHOU Yiqing, LU Yuqiu, et al. Research Progress of Noble Metal Nanocluster Fluorescence Sensing Technology for Food Safety and Quality Detection[J]. Science and Technology of Food Industry, 2025, 46(23): 476−484. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120034.

贵金属纳米团簇荧光传感技术在食品安全与质量检测中的研究进展

Research Progress of Noble Metal Nanocluster Fluorescence Sensing Technology for Food Safety and Quality Detection

  • 摘要: 基于贵金属纳米团簇的荧光可视化技术因其独特的光学性能和高度灵敏的检测能力,在食品安全检测中展现出广泛的应用前景。本文对这一领域的最新研究进展进行了系统梳理与深入分析,详细阐述了贵金属纳米团簇的分类及其合成方法,包括金、银和铂等纳米团簇的制备策略及其在不同环境中的适应性。结合荧光增强、荧光猝灭和比色传感等多种传感机制,本文进一步探讨了基于纳米团簇的传感器在食品检测中的应用。特别是在重金属离子、农药残留和微生物污染等关键检测目标上,这些技术展示了其在提高食品安全检测效率和准确性方面的潜力,为食品安全与质量检测的发展提供了重要技术支持。

     

    Abstract: Fluorescence visualization technology based on noble metal nanoclusters shows wide applications in food safety testing owing to its unique optical properties and highly sensitive detection ability. This study systematically reviews and analyzes the latest research progress in this field, including the classification of noble metal nanoclusters and their synthesis methods, such as preparation strategies for gold, silver, and platinum nanoclusters and their adaptability in different environments. Combined with various sensing mechanisms such as fluorescence enhancement, fluorescence burst, and colorimetric sensing, this study further explores the application of nanocluster-based sensors in food detection. For key detection targets such as heavy metal ions, pesticide residues, and microbial contamination, these technologies demonstrate strong potential to improve the efficiency and accuracy of food safety detection, providing important technical support for the development of food safety and quality testing.

     

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