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Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing

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 rep...

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Autores principales: Hong, Qing, Yang, Hong, Fang, Yanfeng, Li, Wang, Zhu, Caixia, Wang, Zhuang, Liang, Sicheng, Cao, Xuwen, Zhou, Zhixin, Shen, Yanfei, Liu, Songqin, Zhang, Yuanjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185664/
https://www.ncbi.nlm.nih.gov/pubmed/37188673
http://dx.doi.org/10.1038/s41467-023-38459-9
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author Hong, Qing
Yang, Hong
Fang, Yanfeng
Li, Wang
Zhu, Caixia
Wang, Zhuang
Liang, Sicheng
Cao, Xuwen
Zhou, Zhixin
Shen, Yanfei
Liu, Songqin
Zhang, Yuanjian
author_facet Hong, Qing
Yang, Hong
Fang, Yanfeng
Li, Wang
Zhu, Caixia
Wang, Zhuang
Liang, Sicheng
Cao, Xuwen
Zhou, Zhixin
Shen, Yanfei
Liu, Songqin
Zhang, Yuanjian
author_sort Hong, Qing
collection PubMed
description 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 C(6)N(6)-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 Cu(SA)C(6)N(6) 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. Cu(SA)C(6)N(6) is further applied to a glucose biosensor, which can intelligently switch sensitivity and linear detection range in vitro.
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spelling pubmed-101856642023-05-17 Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing Hong, Qing Yang, Hong Fang, Yanfeng Li, Wang Zhu, Caixia Wang, Zhuang Liang, Sicheng Cao, Xuwen Zhou, Zhixin Shen, Yanfei Liu, Songqin Zhang, Yuanjian Nat Commun Article 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 C(6)N(6)-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 Cu(SA)C(6)N(6) 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. Cu(SA)C(6)N(6) is further applied to a glucose biosensor, which can intelligently switch sensitivity and linear detection range in vitro. Nature Publishing Group UK 2023-05-15 /pmc/articles/PMC10185664/ /pubmed/37188673 http://dx.doi.org/10.1038/s41467-023-38459-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hong, Qing
Yang, Hong
Fang, Yanfeng
Li, Wang
Zhu, Caixia
Wang, Zhuang
Liang, Sicheng
Cao, Xuwen
Zhou, Zhixin
Shen, Yanfei
Liu, Songqin
Zhang, Yuanjian
Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing
title Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing
title_full Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing
title_fullStr Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing
title_full_unstemmed Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing
title_short Adaptable graphitic C(6)N(6)-based copper single-atom catalyst for intelligent biosensing
title_sort adaptable graphitic c(6)n(6)-based copper single-atom catalyst for intelligent biosensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185664/
https://www.ncbi.nlm.nih.gov/pubmed/37188673
http://dx.doi.org/10.1038/s41467-023-38459-9
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