Metal-to-ligand charge transfer chirality sensing of d-glucose assisted with GOX-based enzymatic reaction

Junjie Hao (1, 2, 3, 4) , Yiwen Li (1, 3) , Xiaoqian Xu (5) , Fenghuan Zhao (2) , Ruikun Pan (1, 3) , Junzi Li (6) , Haochen Liu (4) , Kai Wang (4) , Jiagen Li (7) , Xi Zhu (7) , Marie-Hélène Delville (2) , Ming Zhang (1, 3) , Tingchao He (6) , Jiaji Cheng (1, 3)

1 Hubei University
2 ICMCB - Institut de Chimie de la Matière Condensée de Bordeaux
3 School of Materials Science and Engineering and School of Computer Science and Information Engineering
4 Department of Electrical and Electronic Engineering
5 Department of Developmental Cell Biology Key Laboratory of Cell Biology Ministry of Public Health and Key Laboratory of Medical Cell Biology
6 College of Physics and Optoelectronic Engineering
7 AIRS - Shenzhen Institute of Artificial Intelligence and Robotics for Society

Chiral transition metal oxides nanoparticles (NPs) with tunable optical properties are widely accepted as promising toolbox for chiral recognition, stereoselective synthesis, and chiroptical devices. Herein, chirality‐based strategy is presented for discrimination of d ‐glucose from its enantiomer through a cooperative synergy between chiral cysteine capped MoO2 NPs and the glucose oxidase nanosystem. The valence‐state‐dependent chirality induced by metal‐ligand charge transfer effect is found to be ultrasensitive to its redox environment such as the presence of hydrogen peroxide, which is a key indicator of the stereoselective enzymatic reaction between glucose oxidase and d ‐glucose. With this know‐how, glucose enantiomers can be precisely quantified with a limit of detection of 0.446 µm . Such a chiral bio‐nanosystem would be an ideal platform for a rational design of new types of biosensors, photocatalysts, and chirality‐based nanodevices.

Domaines: Matériaux

Junjie Hao, Yiwen Li, Xiaoqian Xu, Fenghuan Zhao, Ruikun Pan, et al.. Metal-to-ligand charge transfer chirality sensing of d-glucose assisted with GOX-based enzymatic reaction. Advanced Materials Technologies, 2020, 5 (7), pp.2000138. ⟨10.1002/admt.202000138⟩. ⟨hal-02899871⟩