Abstract

In this study, the sensitivity of electrolyte-gated field-effect transistor-based glucose sensors using oxide semiconductor materials was controlled via electronegativity modulation. By controlling the enzymatic reaction between glucose and glucose oxidase, which is affected by the surface potential, the sensitivity of the glucose sensor can be effectively adjusted. To evaluate the sensitivity characteristics of the glucose sensor according to electronegativity control, devices were fabricated based on InO through Ga and Zn doping. The results confirmed that the specific sensitivity range could be adjusted by increasing the electronegativity. In addition, density functional theory calculations, confirmed that the attachment energy of the surface-functionalized material and the enzyme binding energy in the surface-functionalized thin film can be modulated depending on the electronegativity difference. The dissociation constant was controlled in both directions by doping with metal cations with larger(Ga, 1.81) or smaller(Zn, 1.65) electronegativities in InO(In, 1.78). We expect that this study will provide a simple method for the gradual and bidirectional control of the glucose sensitivity region.

Details

Title
Control of sensitivity in metal oxide electrolyte gated field-effect transistor-based glucose sensor by electronegativity modulation
Author
Song, Aeran 1 ; Kim, Min Jung 1 ; Yi, Dong-Joon 1 ; Kwon, Soyeong 2 ; Kim, Dong-Wook 2 ; Kim, Seunghwan 3 ; Bae, Jee-Hwan 3 ; Park, Soohyung 3 ; Rim, You Seung 4 ; Jeong, Kwang-Sik 5 ; Chung, Kwun-Bum 1 

 Dongguk University, Division of Physics and Semiconductor Science, Seoul, Republic of Korea (GRID:grid.255168.d) (ISNI:0000 0001 0671 5021) 
 Ewha Womans University, Department of Physics, Seoul, Republic of Korea (GRID:grid.255649.9) (ISNI:0000 0001 2171 7754) 
 Korea Institute of Science and Technology (KIST), Advanced Analysis and Data Center, Seoul, Republic of Korea (GRID:grid.496416.8) (ISNI:0000 0004 5934 6655) 
 Sejong University, Department of Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone, Department of Semiconductor Systems Engineering, Seoul, Republic of Korea (GRID:grid.263333.4) (ISNI:0000 0001 0727 6358) 
 Yonsei University, Division of AI Semiconductor, Wonju, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454) 
Pages
27251
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3126245660
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.