Integration of Carbon Nanotubes into Manganese Dioxide Nanorods for Enhanced Enzymeless Electrochemical Glucose Sensing with High Sensitivity and Selectivity

Freestanding electrode designs, cost-effective catalysts, and enhanced electrical conductivity are crucial for improving the performance of fourth-generation non-enzymatic glucose electrochemical sensors. These factors enable more efficient, scalable, and durable sensors with better sensitivity, stability, and affordability for real-time glucose monitoring. In this study, we explore a freestanding electrode design combining carbon nanotubes (CNTs) with MnO<sub>2</sub> nanorods to enhance charge transfer, increase surface area, and optimize catalytic activity. This CNTs/MnO<sub>2</sub> electrode demonstrates exceptional catalytic activity for glucose oxidation, achieving a high sensitivity of 309.73 µA cm<sup>-2</sup> mM<sup>-1</sup> within a linear range of 0.5 to 10 mM-well above typical physiological glucose levels (3-8 mM), with a detection limit of 0.19 mM at a signal-to-noise ratio of 3. The electrode also shows excellent durability and remarkable selectivity for glucose over common interferents like ascorbic acid and uric acid, as well as antifouling properties in the presence of KCl. These attributes are essential for accurate glucose detection in complex biological samples. The integration of MnO<sub>2</sub> nanorods with CNTs in freestanding nanostructures opens up exciting opportunities for developing high-performance, robust electrochemical sensors for diverse applications.

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Publication Details

Journal
Biosensors
Published
2025-03-27
DOI
https://doi.org/10.3390/bios15040215
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.00

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article

Integration of Carbon Nanotubes into Manganese Dioxide Nanorods for Enhanced Enzymeless Electrochemical Glucose Sensing with High Sensitivity and Selectivity

Alonso Moreno Zuria, Mohamed Mohamedi, Khawtar Hasan Ahmed
Biosensors
Electrochemical sensors and biosensors
article

Integration of Carbon Nanotubes into Manganese Dioxide Nanorods for Enhanced Enzymeless Electrochemical Glucose Sensing with High Sensitivity and Selectivity

Alonso Moreno Zuria, Mohamed Mohamedi, Khawtar Hasan Ahmed
article en

Abstract

Freestanding electrode designs, cost-effective catalysts, and enhanced electrical conductivity are crucial for improving the performance of fourth-generation non-enzymatic glucose electrochemical sensors. These factors enable more efficient, scalable, and durable sensors with better sensitivity, stability, and affordability for real-time glucose monitoring. In this study, we explore a freestanding electrode design combining carbon nanotubes (CNTs) with MnO<sub>2</sub> nanorods to enhance charge transfer, increase surface area, and optimize catalytic activity. This CNTs/MnO<sub>2</sub> electrode demonstrates exceptional catalytic activity for glucose oxidation, achieving a high sensitivity of 309.73 µA cm<sup>-2</sup> mM<sup>-1</sup> within a linear range of 0.5 to 10 mM-well above typical physiological glucose levels (3-8 mM), with a detection limit of 0.19 mM at a signal-to-noise ratio of 3. The electrode also shows excellent durability and remarkable selectivity for glucose over common interferents like ascorbic acid and uric acid, as well as antifouling properties in the presence of KCl. These attributes are essential for accurate glucose detection in complex biological samples. The integration of MnO<sub>2</sub> nanorods with CNTs in freestanding nanostructures opens up exciting opportunities for developing high-performance, robust electrochemical sensors for diverse applications.

BiosensorsVol. 15(4)
Institut National de la Recherche Scientifique (CA)
Ministry of Education, Libya, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 95%
Electrochemical sensors and biosensors
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Integration of Carbon Nanotubes into Manganese Dioxide Nanorods for Enhanced Enzymeless Electrochemical Glucose Sensing with High Sensitivity and Selectivity — Alonso Moreno Zuria, Mohamed Mohamedi, et al. · Biosensors (2025) | TGRS Research Map | TGRS