Bioinspired rational design of nanozymes.

Journal: Materials horizons
Published Date:

Abstract

Nanozymes, an emerging class of artificial enzymes, have attracted increasing attention for their potential in environmental monitoring, industrial catalysis, food safety, and biomedicine. To date, more than 1500 nanomaterials have been identified with enzyme-like activities, some demonstrating catalytic performances that match or even exceed those of natural enzymes. Despite this progress, key challenges remain, including poorly understood catalytic mechanisms, ambiguous structure-activity relationships, and a heavy dependence on nonspecific surface sites, all of which limit the efficiency, selectivity, and broader application of nanozymes. To address these limitations, researchers are turning to nature for inspiration, seeking to reconstruct enzyme active centers at the atomic scale and establish innovative design principles. This review examines the catalytic mechanisms and structural characteristics of natural enzymes, integrating machine learning approaches to investigate nanozyme kinetics, transition state stabilization, electron/proton transfer, and cooperative effects. It highlights bioinspired strategies such as three-dimensional structure design, cofactor incorporation, and artificial organelle systems. Furthermore, the review explores rational nanozyme design using activity descriptors and predictive modeling. Finally, it outlines the transformative potential of artificial intelligence and multiscale simulations in optimizing nanozyme performance, offering a theoretical foundation for the development of next-generation intelligent nanozymes.

Authors

  • ZhiHong Chen
    College of Information Technology and Engineering, Chengdu University, Chengdu, China.
  • Bingyan Li
    School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. yanghuinan@usst.edu.cn.
  • Yiqing Zhang
    School of Mechanical and Automobile Engineering, 58291Liaocheng University, Liaocheng, China.
  • Xinyue Shang
    College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, Shandong 266042, China. gww501@qust.edu.cn.
  • Cheng Ma
    Department of Statistics, University of Michigan, Ann Arbor, MI, USA.
  • Weiwei Gao
    Department of NanoEngineering , University of California, San Diego , La Jolla , California 92093 , United States.
  • Zhiling Zhu
    Department of of Otolaryngology-Head and Neck Surgery, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.