Issue 48, 2023

Enzyme-free electrochemical sensor platforms based on transition metal nanostructures for clinical diagnostics

Abstract

The detection of emergent biomarkers is of key significance in numerous clinical, biological, and biomedical fields. Specifically, the design and development of potent electrochemical lactic acid and glucose sensing platforms are especially in great demand in a variety of industries, including those involved in clinical analysis, biomedicine, biological, food, cosmetics, pharmaceuticals, leather, sports, and chemical industries. Nanostructured transition metal-derived materials have opened the door to electrochemical sensors and biosensors due to their advantages of high surface-to-volume ratio, surface reaction activity, catalytic activity, and strong adsorption capability. The primary aim of the present minireview is to highlight the advancement of enzyme-free electrochemical sensor platforms based on transition metal-derived nanostructures with high electrocatalytic activity and sensing performance towards lactic acid and glucose in practical samples. The preparation approaches, structural and composition monitoring, fabrication of sensing electrodes, catalytic activity, sensing performance in real samples, and the exploration of sensing mechanisms are majorly concentrated on in most of our recent research studies. Moreover, state-of-the-art transition metal-derived nanostructure-derived electrochemical sensor platforms, critical comparison of the analytical performance of the sensor platforms, and the future perspectives of the enzyme-free electrochemical sensor for clinical diagnostics are described.

Graphical abstract: Enzyme-free electrochemical sensor platforms based on transition metal nanostructures for clinical diagnostics

Article information

Article type
Minireview
Submitted
18 Oct 2023
Accepted
21 Nov 2023
First published
21 Nov 2023

Anal. Methods, 2023,15, 6620-6630

Enzyme-free electrochemical sensor platforms based on transition metal nanostructures for clinical diagnostics

G. Maduraiveeran, Anal. Methods, 2023, 15, 6620 DOI: 10.1039/D3AY01849K

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