Nanozymes with bioorthogonal reaction for intelligence nanorobots

Si Sun, Xinzhu Chen, Jing Chen, Junying Wang, Xiao-dong Zhang

Biophysics Reports ›› 2021, Vol. 7 ›› Issue (1) : 8-20.

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Biophysics Reports ›› 2021, Vol. 7 ›› Issue (1) : 8-20. DOI: 10.52601/bpr.2021.200044
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Nanozymes with bioorthogonal reaction for intelligence nanorobots

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Abstract

Bioorthogonal reactions have attained great interest and achievements in various fields since its first appearance in 2003. Compared to traditional chemical reactions, bioorthogonal chemical reactions mediated by transition metals catalysts can occur under physiological conditions in the living system without interfering with or damaging other biochemical events happening simultaneously. The idea of using nanomachines to perform precise and specific tasks in living systems is regarded as the frontier in nanomedicine. Bioorthogonal chemical reactions and nanozymes have provided new potential and strategies for nanomachines used in biomedical fields such as drug release, imaging, and bioengineering. Nanomachines, also called as intelligence nanorobots, based on nanozymes with bioorthogonal reactions show better biocompatibility and water solubility in living systems and perform controlled and adjustable stimuli-triggered response regarding to different physiological environments. In this review, we review the definition and development of bioorthogonal chemical reactions and describe the basic principle of bioorthogonal nanozymes fabrication. We also review several controlled and adjustable stimuli-triggered intelligence nanorobots and their potential in therapeutic and engineered applications. Furthermore, we summarize the challenges in the use of intelligence nanorobots based on nanozymes with bioorthogonal chemical reactions and propose promising vision in smart nanodevices along this appealing avenue of research.

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Keywords

Nanozymes / Bioorthogonal reaction / Nanorobotics

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Si Sun, Xinzhu Chen, Jing Chen, Junying Wang, Xiao-dong Zhang. Nanozymes with bioorthogonal reaction for intelligence nanorobots. Biophysics Reports, 2021, 7(1): 8‒20 https://doi.org/10.52601/bpr.2021.200044

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (91859101, 81971744, U1932107, 82001952 and 81471786), National Natural Science Foundation of Tianjin (19JCZDJC34000), the Innovation Foundation of Tianjin University, and CAS Interdisciplinary Innovation Team (JCTD-2020-08).

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Conflict of interest Si Sun, Xinzhu Chen, Jing Chen, Junying Wang and Xiao-dong Zhang declare that they have no conflict of interest. Human and animal rights and informed consent This article does not contain any studies with human or animal subjects performed by any of the authors. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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2021 The Author(s) 2021. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
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