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Engineering a Metal-Organic Framework-Dominated Bioinspired Multienzymatic Sensor Array for Portable Detection of

Hao Wang1, Yaqing Han1, Shuo Tian2

  • 1College of Medical Engineering, Jining Medical University, Jining, Shandong 272067, China.

Analytical Chemistry
|October 20, 2025
PubMed
Summary

A new cerium-based metal-organic framework (Ce-MOF) sensor array effectively distinguishes various perfluoroalkyl substances (PFASs). This innovative approach uses multienzymatic activities and machine learning for accurate PFAS identification in complex environmental samples.

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Area of Science:

  • Environmental Chemistry
  • Materials Science
  • Biosensing

Background:

  • Accurate identification of perfluoroalkyl substances (PFASs) is crucial for environmental regulation and public health.
  • Existing analytical methods face challenges in differentiating structurally similar PFASs.
  • There is a need for sensitive and selective methods for PFAS detection in complex matrices.

Purpose of the Study:

  • To develop a novel multienzymatic activity sensor array for discriminating a wide range of PFASs.
  • To engineer a cerium-based metal-organic framework (Ce-MOF) with tailored enzyme-mimicking activities.
  • To establish a robust and accurate method for PFAS identification in real-world samples.

Main Methods:

  • Fabrication of a Ce-MOF with oxidase, laccase, and superoxide dismutase activities.
  • Utilizing PFAS-modulated enzyme-mimicking activities to generate distinct signal outputs.
  • Applying machine learning algorithms for classification and identification of PFASs.
  • Testing the sensor array in complex matrices like seawater, shrimp, and codfish.
  • Development of a portable hydrogel-based kit for onsite detection.

Main Results:

  • The Ce-MOF sensor array successfully discriminated nine different PFASs with 100% prediction accuracy.
  • The sensor demonstrated reliable detection across various concentrations and in mixtures.
  • Accurate performance was validated in real-world environmental and food samples.
  • Density functional theory calculations supported the mechanism of PFAS-enzyme activity modulation.
  • A portable kit for onsite PFAS differentiation was successfully developed.

Conclusions:

  • The study presents the first demonstration of PFAS-regulated multienzymatic activity in Ce-MOF.
  • The developed sensor array offers a cost-effective and practical strategy for PFAS detection.
  • This technology has significant implications for environmental monitoring and public health protection.
  • The sensor array provides a powerful tool for differentiating PFASs in complex samples.