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Enhancing Nonenzymatic Glucose Detection Through Cobalt-Substituted Hafnia
Jeonghyeon Oh1, Avis Sin Hui Wee1, Eun-Byeol Park2
1Multifunctional Nano Bio Electronics Lab, School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do, 16419, Republic of Korea.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|February 25, 2025
Summary
Cobalt-doped ultrathin hafnia films show selective glucose sensing. This novel approach utilizes engineered defect chemistry for improved biosensor performance.
Area of Science:
- Materials Science
- Electrochemistry
- Nanotechnology
Background:
- Developing selective glucose sensors is crucial for diabetes management.
- Ultrathin metal oxide films offer potential for advanced sensing applications.
Purpose of the Study:
- To investigate engineered defect chemistry in ultrathin cobalt-doped hafnia (HCO) for selective glucose sensing.
- To explore the use of chemical solution deposition (CSD) for fabricating ultrathin HCO films.
Main Methods:
- Fabrication of ultrathin HCO films (≈5 nm) using CSD on silicon substrates.
- Analysis of phase transformation (monoclinic to orthorhombic) in HCO films.
- Electrocatalytic evaluation for glucose oxidation in the presence of interfering species.
- Theoretical investigation of oxygen vacancies and their role in enhancing electrocatalytic activity.
Main Results:
- HCO thin films exhibited significant glucose sensing activity.
- A monoclinic to orthorhombic phase transformation was observed.
- The presence of multivalent cobalt and oxygen vacancies enabled selective glucose oxidation with minimal interference.
- Theoretical studies confirmed enhanced electrocatalytic activity due to oxygen vacancies promoting charge transfer.
Conclusions:
- Ultrathin CSD-processed HCO films demonstrate high selectivity, repeatability, and reproducibility for glucose sensing.
- Engineered defect chemistry in HCO is a promising strategy for developing advanced biosensors.
- CSD is viable for producing ultrathin films for selective sensing applications.

