Non-enzymatic Glucose Detection by Fe₂O₃ Nanorods-reduced Graphene under Physiological pH

Title:Non-enzymatic Glucose Detection by Fe₂O₃ Nanorods-reduced Graphene under Physiological pH

Volume: 20 Issue: 4

Author(s): Jiacai Yu, Xianglu Shan, Dengfa Zhou, Xueqin Zhao*Weiqin Sheng*

Affiliation:

• Wenzhou Institute of Hangzhou Dianzi University, Wenzhou, 325038, People’s Republic of China
• College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, 310018, People’s Republic of China

• Wenzhou Institute of Hangzhou Dianzi University, Wenzhou, 325038, People’s Republic of China
• School of Electronic Information, Hangzhou Dianzi University, Hangzhou, 310018, People’s Republic of China

Keywords: N-type Fe₂O₃, non-enzymatic glucose detection, physiological pH environment, porous Fe₂O₃ nanorods-reduced graphene oxide, electrocatalytic response, cyclic voltammetry.

Abstract:

Background: Non-enzymatic detection has become a research hotspot because of its alternativity in solving problems compared to enzymatic biosensors, but most of those sensors require a strong basic pH environment (higher than 10) to active their surface, restricting their use in clinical detection because the pH of body fluid is around 7.4. Furthermore, metal oxide sensors with specific morphologies are reported to have a fast electrocatalytic response. Therefore, Fe₂O₃ nanocomposites with porous structure are selected for glucose detection research in a physiological pH environment.

Objective: The study aimed to assess the potential use of porous reduced graphene oxide-Fe₂O₃ nanorods in glucose detection in a physiological pH environment.

Method: Hydrothermal method was used to prepare porous Fe₂O₃-rGO NRs (Nanorods) and hollow Fe₂O₃/C nanoparticles. Cyclic voltammetry and electrochemical impedance spectroscopy were used to evaluate the performance of our materials.

Results: Porous-reduced graphene oxide-Fe₂O₃ nanorods have exhibited better performance than hollow carbon-Fe₂O₃ core-shell nanoparticles for glucose detection in a physiological pH environment.

Conclusion: Non-enzymatic glucose sensing based upon cavity Fe₂O₃-rGO NRs under a physiological pH environment has been successfully realized, attributing to their high electron mobility and large specific surface area. Furthermore, the results of this work indicate that the glucose sensor prepared here has shown good repeatability and stability, which suggests its potential use in clinical detection.

Cite this article as:

Yu Jiacai, Shan Xianglu, Zhou Dengfa, Zhao Xueqin*, Sheng Weiqin*, Non-enzymatic Glucose Detection by Fe₂O₃ Nanorods-reduced Graphene under Physiological pH, Current Pharmaceutical Analysis 2024; 20 (4) . https://dx.doi.org/10.2174/0115734129286138240503050903