Mo₂CTₓ MXene-Based Non-Enzymatic Electrochemical Sensor for Selective Detection of Hydrogen Peroxide in Colorectal Cancer Cells

Abstract

Accurate and real-time monitoring of hydrogen peroxide (H₂O₂) in biological environments is critical for understanding redox-regulated processes associated with cancer progression. In this study, we developed, for the first time, a novel non-enzymatic electrochemical sensor based on two-dimensional molybdenum carbide MXene (Mo₂CTₓ) for the selective detection of H₂O₂, with particular importance on human cancer cell applications. The synthesized Mo₂CTₓ MXene was broadly characterized to confirm its layered morphology, surface terminations, and structural integrity. When coated onto a glassy carbon electrode (GCE), the MXene-modified glassy carbon electrode (MX-GCE) exhibited excellent electrocatalytic activity toward H₂O₂ reduction at a low operating potential of -0.45 V. The MX-GCE demonstrated a linear response range from 0.49 - 78.3 µM with a low detection limit of 1.02 µM and a rapid response time of ~2 s. Interference analysis indicated that MX-GCE exhibited high selectivity for H2O2 in the presence of common biological interferents. The practical applicability of the sensor was validated through real sample analysis by monitoring of extracellular H₂O₂ generated by cancer cells upon ascorbic acid induced stimulation. These results established that Mo₂CTₓ MXene modified electrode could be used as a stable and effective sensing platform for H₂O₂ detection in complex biological environments. This new sensor will be useful for oxidative stress monitoring and cancer diagnostics.

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Article information

Article type
Paper
Submitted
12 Jan 2026
Accepted
18 May 2026
First published
19 May 2026
This article is Open Access
Creative Commons BY license

Nanoscale Adv., 2026, Accepted Manuscript

Mo₂CTₓ MXene-Based Non-Enzymatic Electrochemical Sensor for Selective Detection of Hydrogen Peroxide in Colorectal Cancer Cells

S. Venkataraman, V. Magesh, C. Govindasamy, R. Atchudan, D. Ganapathy, S. Arya and A. K. Sundramoorthy, Nanoscale Adv., 2026, Accepted Manuscript , DOI: 10.1039/D6NA00025H

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