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Recent advances in molybdenum disulfide-based electrode materials for electroanalytical applications
A T Ezhil Vilian1, Bose Dinesh2, Sung-Min Kang3
1Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
Mikrochimica Acta
|February 24, 2019
Summary
Molybdenum disulfide (MoS2) nanomaterials offer enhanced conductivity and electrochemical performance, making them ideal for developing advanced electrochemical sensors and biosensors for detecting various analytes.
Area of Science:
- Materials Science
- Electrochemistry
- Nanotechnology
Background:
- Molybdenum disulfide (MoS2) is a 2D material with unique physicochemical properties.
- Its nanocomposites exhibit high mechanical strength, large surface area, and excellent electrical conductivity.
- These properties make MoS2 suitable for electrochemical sensing applications.
Purpose of the Study:
- To review the development and structural diversity of 2D/3D MoS2-based modified electrodes.
- To summarize their application in electrochemical sensors and biosensors.
- To highlight advancements in MoS2-based sensing technologies.
Main Methods:
- Synthesis of 2D MoS2 layers using hydrothermal, mechanical, ultrasonic, and solution-based exfoliation techniques.
- Fabrication of MoS2-based modified electrodes.
- Electrochemical analysis and characterization of sensing performance.
Main Results:
- MoS2-based nanomaterials serve as efficient electrochemical platforms for detecting biomolecules and hazardous chemicals.
- Substantial improvements in sensor performance (sensitivity, selectivity, LODs) were observed.
- MoS2-based sensors show promise in environmental, pharmaceutical, and food analysis.
Conclusions:
- MoS2-based materials demonstrate significant potential as sensing electrodes due to their high conductivity and electrochemical performance.
- Further research is needed to address challenges in designing MoS2 nanostructures for electroanalytical applications.
- MoS2 nanocomposites offer promising avenues for biomarker detection and clinical diagnostics.
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