Modified carbon nitride nanozyme as bifunctional glucose oxidase-peroxidase for metal-free bioinspired cascade photocatalysis

Peng Zhang, Dengrong Sun, Ara Cho, Seunghyun Weon, Seonggyu Lee, Jinwoo Lee, Jeong Woo Han, Dong-Pyo Kim and Wonyong Choi ()
Additional contact information
Peng Zhang: Pohang University of Science and Technology (POSTECH)
Dengrong Sun: Pohang University of Science and Technology (POSTECH)
Ara Cho: Pohang University of Science and Technology (POSTECH)
Seunghyun Weon: Pohang University of Science and Technology (POSTECH)
Seonggyu Lee: Pohang University of Science and Technology (POSTECH)
Jinwoo Lee: Pohang University of Science and Technology (POSTECH)
Jeong Woo Han: Pohang University of Science and Technology (POSTECH)
Dong-Pyo Kim: Pohang University of Science and Technology (POSTECH)
Wonyong Choi: Pohang University of Science and Technology (POSTECH)

Nature Communications, 2019, vol. 10, issue 1, 1-14

Abstract: Abstract Nanomaterials-based biomimetic catalysts with multiple functions are necessary to address challenges in artificial enzymes mimicking physiological processes. Here we report a metal-free nanozyme of modified graphitic carbon nitride and demonstrate its bifunctional enzyme-mimicking roles. With oxidase mimicking, hydrogen peroxide is generated from the coupled photocatalysis of glucose oxidation and dioxygen reduction under visible-light irradiation with a near 100% apparent quantum efficiency. Then, the in situ generated hydrogen peroxide serves for the subsequent peroxidase-mimicking reaction that oxidises a chromogenic substrate on the same catalysts in dark to complete the bifunctional oxidase-peroxidase for biomimetic detection of glucose. The bifunctional cascade catalysis is successfully demonstrated in microfluidics for the real-time colorimetric detection of glucose with a low detection limit of 0.8 μM within 30 s. The artificial nanozymes with physiological functions provide the feasible strategies for mimicking the natural enzymes and realizing the biomedical diagnostics with a smart and miniature device.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-019-08731-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-08731-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-08731-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().