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Multiresponsive Intelligent Probe Based on Catalase@MOF-Copper for Dynamic On-Site Sensing.

Niu Feng1, Xuewen Peng1, Yiming Dong2

  • 1College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.

Analytical Chemistry
|April 1, 2026
PubMed
Summary
This summary is machine-generated.

We developed a novel metal-organic framework (MOF)-assisted tunable copper hyperprobe (MATCH) for rapid, on-site detection of diverse targets. This versatile sensor enhances public health diagnostics, food safety, and environmental monitoring.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Biotechnology

Background:

  • Accurate detection of biological and chemical factors is crucial for public health.
  • Existing diagnostic tools can be costly, instrument-dependent, and lack versatility.

Purpose of the Study:

  • To develop a novel, versatile, and cost-effective sensor for on-site detection of multiple targets.
  • To enhance sensitivity and efficiency in diagnostic and monitoring applications.

Main Methods:

  • Synthesis of a metal-organic framework (MOF)-assisted tunable copper hyperprobe (MATCH) using mercaptosuccinic acid and Cu2+.
  • Encapsulation of catalase (CAT) within the MOF to form a CAT@MOF complex for signal transduction.
  • Integration of MATCH with CRISPR/Cas or immunoassay techniques for enhanced detection.

Main Results:

  • MATCH demonstrated ultrafast and mild synthesis with high color-responsiveness to metal ions and hydrogen peroxide.
  • The CAT@MOF complex enhanced sensor stability and activity.
  • The integrated sensor showed superior sensitivity and efficiency compared to gold-standard methods, with reduced instrument dependence.

Conclusions:

  • MATCH offers a multi-responsive platform for detecting nucleic acids, proteins, antibiotics, and ions.
  • This technology holds significant promise for in vitro diagnostics, food safety, and environmental monitoring.
  • MATCH advancements contribute to improved public health protection through accessible and efficient detection methods.