Surface-Dominated and Tunable 2D MOF-Based Nanozyme Array for Smartphone-Integrated Intelligent Discrimination of...

Area of Science:

• Materials Science
• Analytical Chemistry
• Nanotechnology

Background:

• Simultaneous identification and quantification of antioxidants is challenging due to structural similarities.
• Existing methods struggle with sensitivity and specificity for complex antioxidant mixtures.

Purpose of the Study:

• To develop a surface-dominated, tunable 2D metal-organic framework (MOF) nanozyme array for intelligent antioxidant discrimination.
• To integrate this array with a smartphone platform for on-site analysis of multiple antioxidants.

Main Methods:

• Engineered ultrathin 2D MOF nanozymes with varied metal centers to create differentiated catalytic gradients.
• Utilized the inhibitory effects of antioxidants on peroxidase-like MOF activity to generate unique colorimetric fingerprints.
• Developed a smartphone-based platform with machine learning for real-time RGB value extraction and analysis.

Main Results:

• The 2D MOF nanozyme array successfully resolved seven antioxidant analytes based on their distinct inhibitory effects.
• The integrated smartphone platform accurately identified individual antioxidants and complex binary/ternary mixtures.
• The platform demonstrated excellent anti-interference capabilities in real-world samples like juice, tea, and wine.

Conclusions:

• Surface-dominated 2D MOF nanozymes provide a powerful blueprint for designing sensitive and selective antioxidant sensing platforms.
• The smartphone-integrated system enables low-cost, high-throughput, and intelligent on-site analysis of antioxidants.
• This technology holds significant promise for applications in food safety, environmental monitoring, and precision healthcare.