4.7 Article

Engineering of an Upconversion Luminescence Sensing Platform Based on the Competition Effect for Mercury-Ion Monitoring in Green Tea

期刊

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 69, 期 30, 页码 8565-8570

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.1c03100

关键词

mercury ions; upconversion luminescence; AuNPs; competition effect; green tea

资金

  1. Open Research Project of State Key Laboratory of Transducer Technology [SKT2003]
  2. Natural Science Foundation of Anhui Province, China [1908085QB67]
  3. Project of Anhui Province Academic and Technical Leader [2020D250]
  4. Key Discipline of Material Science and Engineering of Suzhou University [2017XJZDXK3]
  5. Innovative Research Team of Anhui Provincial Education Department [2016SCXPTTD]

向作者/读者索取更多资源

By utilizing UCNPs and AuNPs, a sensitive detection method for residual Hg2+ in green tea was developed, achieving fluorescence change through competition effect.
Accurately monitoring mercury ions (Hg2+) in food and agriculture-related matrixes (e.g., green tea) is of great significance to safeguard food safety. Here, we employed upconversion nanoparticles (UCNPs) and gold nanoparticles (AuNPs) to engineer a cysteine (Cys)-assisted anti-Stokes luminescence sensing platform (UCNPs-AuNPs) for precisely detecting residual Hg2+ in green tea through the competition effect. Initially, AuNPs could effectively quench the luminescence of UCNPs through the luminescence resonance energy transfer process, which was then interrupted by Cys-triggered AuNP aggregation via Au-S, thereby restoring UCNP luminescence. Interestingly, owing to the competition effect with AuNPs toward Cys, Hg2+ could weaken the luminescence restoring efficiency, achieving a Hg2+ concentration-dependent luminescence change. On this basis, a facile, reliable, and sensitive upconversion luminescence sensing platform for monitoring residual Hg2+ in green tea was successfully established. This study offers a novel insight into integrating the competition effect and anti-Stokes luminescence for food- and agriculture-related contaminant monitoring.

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