What question did this study set out to answer?

To develop an innovative FeCu-N-C nanozyme with triple enzymatic activities for pesticide discrimination.

Bimetallic FeCu–N–C Single-Atom Nanozymes with Triple Enzymatic Activities Enabling a Colorimetric Sensor Array for Machine-Learning-Assisted Pesticide Discrimination

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Innovative nanozymes exhibit laccase activity in sensor arrays for pesticide discrimination, suggesting enhanced monitoring capabilities.

To develop an innovative FeCu-N-C nanozyme with triple enzymatic activities for pesticide discrimination.
Engineered FeCu dual-atom nanozyme with adjacent metal sites in a nitrogen-doped carbon scaffold
Developed colorimetric sensor array leveraging multienzymatic platform
Integrated artificial neural network for data analysis
Nanozyme shows enhanced peroxidase-, oxidase-, and laccase-like activities
Achieved 100% identification accuracy for five distinct pesticides
Validated pesticide interactions through DFT analysis

Chen et al. (2026) studied this question.

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