A disposable and sensitive non-enzymatic glucose sensor based on a 3D-Mn-doped NiO nanoflower-modified flexible electrode. Issue 1 (8th December 2022)

• Record Type: Journal Article
• Authors: Yang, Huisi; Hu, Yian; Yin, Xinxue; Huang, Jiaqing; Qiao, Cailin; Hu, Zhikun; He, Congjuan; Huo, Danqun; Hou, Changjun
• Is Part Of: Analyst. Volume 148:Issue 1(2023)
• Page Start: 153
• Page End: 162
• Publication Date: 2022-12-08
• Subjects: Chemistry, Analytic -- Periodicals; 543
• DOI: 10.1039/d2an01495e
• Languages: English
• ISSNs: 0003-2654

Abstract

Abstract : Herein, Mn-doped NiO nano-enzyme composites with high catalytic performance and excellent conductivity were grown on 3D CFC via hydrothermal and calcination methods to construct an efficient flexible glucose sensor. Abstract : Herein, nanoflower-shaped Mn-doped NiO nano-enzyme composites with high catalytic performance and excellent conductivity were grown on 3D flexible carbon fiber cloth (CFC) via hydrothermal and calcination methods to construct an efficient flexible glucose-sensitive detection electrode. For electrochemical-based sensors, high conductivity is a prerequisite for reliable data acquisition. To avoid the problems associated with using insulating Nafion or paraffin binders, we adopted a strategy of directly growing Mn-doped NiO onto the electrode surface, thereby avoiding interference due to the oxidization of species present in real samples at higher redox potentials, since Ni 2+ /Ni 3+ has low redox potential. Therefore, the electrode has a linear range of 3–5166 μM for glucose detection, with a detection limit as low as 0.28 μM, showing excellent selectivity and reproducibility. The composite-modified electrode provides accurate detection results with real human serum samples, which are in full agreement with those of commercial blood glucose meters. In addition, we tested the glucose content in tea and sorghum fermentation broth at different stages, further expanding the application range of the Mn-NiO sensors. The nano-enzyme sensor fabricated herein offers a new idea for further integration into wearable flexible electronic devices for accurate glucose detection.