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<p>This study presents a signal-amplified detection platform integrating magnetic separation, PtAuRu@PCN-224 nano-enzyme catalysis magnification, and smartphone RGB analysis. The developed detection system has the following advantages: ultra-high sensitivity, the detection limit in ultraviolet-visible light mode is 1&#xa0;CFU/mL; it features rapid response and excellent selectivity, capable of distinguishing common foodborne pathogenic bacteria; the nanozyme exhibits excellent stability, with its activity remaining above 92% after being stored at 4℃ for 10&#xa0;days; the recovery rates in four food samples were 98 to 103%; and the relative standard deviations were less than 3%. This platform combines the high catalytic performance of MOFs nano-enzymes with the convenience of RGB analysis on smartphones, providing a new solution for the detection of foodborne pathogens.</p> Graphical abstract <p></p>

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A highly sensitive colorimetric platform based on tricoordinate metal MOFs nanoenzymes and  smartphone RGB–assisted analysis for visualized detection of Salmonella typhimurium

  • 期刊论文

  • 发表日期：

    2026年3月11日

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  • Hongtao Zhou,
  • He Sun,
  • Zebin Zhang,
  • Xin Fang,
  • Shengjun Bu,
  • Chenxi Li,
  • Yue Wan,
  • Nan Li,
  • Zhuo Hao,
  • Chengyou Ma,
  • Na Lv,
  • Jiayu Wan

摘要

This study presents a signal-amplified detection platform integrating magnetic separation, PtAuRu@PCN-224 nano-enzyme catalysis magnification, and smartphone RGB analysis. The developed detection system has the following advantages: ultra-high sensitivity, the detection limit in ultraviolet-visible light mode is 1 CFU/mL; it features rapid response and excellent selectivity, capable of distinguishing common foodborne pathogenic bacteria; the nanozyme exhibits excellent stability, with its activity remaining above 92% after being stored at 4℃ for 10 days; the recovery rates in four food samples were 98 to 103%; and the relative standard deviations were less than 3%. This platform combines the high catalytic performance of MOFs nano-enzymes with the convenience of RGB analysis on smartphones, providing a new solution for the detection of foodborne pathogens.

Graphical abstract