Nanozymes, as a class of nanomaterials with enzyme-like catalytic activity, combine the high catalytic efficiency of natural enzymes with stability, ease of modification, and low cost of nanomaterials, making them a research hotspot in the field of electrochemical sensors. This article systematically reviews the classification, catalytic mechanisms, and performance regulation methods of nanozymes, with a focus on the construction strategies and application progress of different types of nanozymes (metal-based, carbon-based, metal-organic framework-based, etc. ) in electrochemical sensors. It covers multiple fields, including biomarker detection, food safety monitoring, and environmental pollutant analysis. Furthermore, the article analyzes the current bottlenecks in the practical applications of nanozyme-based electrochemical sensors, including insufficient catalytic selectivity, poor long-term stability, and difficulty in eliminating interference from actual samples. Finally, it provides an outlook on future development trends, aiming to offer references and ideas for subsequent research in this field.
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Ling, K., Zhu, H., Lin, L., Wang, G., Li, Y., Jiang, Q., Wang, Z., Lai, X., Xiao, J., Zou, S. (2026) Artificial Intelligence-driven Nanozyme Design and Development Research Progress in Data, Models, and Closed-loop Systems. Scientific Research Bulletin, 3(1), 34-43.