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Related Experiment Video

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High-performance glucose isomerase detection enabled by self-cascade copper oxide nanozyme system.

Jian-Qing Liu1, Ye-Bin Feng2, Yin-Feng Xiao3

  • 1School of Pharmacy, Quanzhou Medical College, Quanzhou, 362000, China.

Talanta
|August 17, 2025
PubMed
Summary

A new method enhances glucose isomerase (GI) detection using copper oxide nanozymes. This sensitive and simple approach improves upon existing techniques for GI activity analysis in food and agriculture.

Keywords:
Copper oxideEnzyme-like activityGlucose isomeraseNanozymeSelf-cascade reaction

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Area of Science:

  • Biotechnology
  • Enzyme kinetics
  • Nanotechnology

Background:

  • Glucose isomerase (GI), or D-xylose isomerase, is vital for converting glucose to fructose.
  • Current methods for detecting GI activity lack sensitivity and are operationally complex.
  • There is a need for improved, practical methods for GI detection.

Purpose of the Study:

  • To develop a novel and highly sensitive detection strategy for glucose isomerase (GI) activity.
  • To couple GI-catalyzed isomerization with a self-cascade copper oxide (CuO) nanozyme system for signal amplification.
  • To validate the method's performance and practicality for various applications.

Main Methods:

  • Utilized a self-cascade copper oxide (CuO) nanozyme system coupled with GI-catalyzed isomerization.
  • Leveraged the dual fructose oxidase-like and peroxidase-like activities of CuO nanozymes for signal amplification.
  • Performed spiking recovery experiments on various GI samples.

Main Results:

  • Achieved a broad linear range for detection from 0.3 to 9.375 U/mL.
  • Established a low detection limit of 0.11 U/mL, surpassing existing methods.
  • Demonstrated high spiking recovery rates (86.22%–107.34%) in real-world samples.

Conclusions:

  • The proposed CuO nanozyme-based method offers high sensitivity, simplicity, and practicality for GI detection.
  • This novel strategy shows significant promise for screening GI-producing bacterial strains.
  • The method is suitable for detecting GI activity across diverse applications in the food and agricultural industries.