Adaptable graphitic C6N6-based copper single-atom catalyst for intelligent biosensing

Qing Hong, Hong Yang, Yanfeng Fang, Wang Li, Caixia Zhu, Zhuang Wang, Sicheng Liang, Xuwen Cao, Zhixin Zhou, Yanfei Shen (), Songqin Liu and Yuanjian Zhang ()
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Qing Hong: Southeast University
Hong Yang: Southeast University
Yanfeng Fang: Southeast University
Wang Li: Southeast University
Caixia Zhu: Southeast University
Zhuang Wang: Southeast University
Sicheng Liang: Southeast University
Xuwen Cao: Southeast University
Zhixin Zhou: Southeast University
Yanfei Shen: Southeast University
Songqin Liu: Southeast University
Yuanjian Zhang: Southeast University

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: Abstract Self-adaptability is highly envisioned for artificial devices such as robots with chemical noses. For this goal, seeking catalysts with multiple and modulable reaction pathways is promising but generally hampered by inconsistent reaction conditions and negative internal interferences. Herein, we report an adaptable graphitic C6N6-based copper single-atom catalyst. It drives the basic oxidation of peroxidase substrates by a bound copper-oxo pathway, and undertakes a second gain reaction triggered by light via a free hydroxyl radical pathway. Such multiformity of reactive oxygen-related intermediates for the same oxidation reaction makes the reaction conditions capable to be the same. Moreover, the unique topological structure of CuSAC6N6 along with the specialized donor-π-acceptor linker promotes intramolecular charge separation and migration, thus inhibiting negative interferences of the above two reaction pathways. As a result, a sound basic activity and a superb gain of up to 3.6 times under household lights are observed, superior to that of the controls, including peroxidase-like catalysts, photocatalysts, or their mixtures. CuSAC6N6 is further applied to a glucose biosensor, which can intelligently switch sensitivity and linear detection range in vitro.

Date: 2023
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DOI: 10.1038/s41467-023-38459-9

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