Application of MXene-based nanocomposites in electrochemical biosensors

MXene is among the most attractive two-dimensional (2D) nanomaterials for construction of advanced electrochemical biosensors owing to their superior electrical and mechanical properties, tunable hydrophilicity, large surface-to-volume ratio, excellent electrochemical properties, facile functionalization, and good biocompatibility. Furthermore, MXene nanomaterials possess excellent conductivity, facilitating the electrical signal transmission in biosensors. They also offer a large surface area, providing active sites for interactions with biomolecules, thereby enhanced detection of various analytes contributing to the sensitive and precise construction of biosensors. In this review, recent breakthroughs in the concept, development, and bio-sensing applications of various MXene-based electrochemical biosensors have been summarized. More specifically, this review attempts to detail the MXene nanocomposites and MXene hydrogels as the most effective strategies to make full use of the electrochemical performance of MXene as well as the reports where MXene nanocomposites have been used in electrochemical biosensors, so that the future prospect of these cutting-edge 2D materials can be analyzed. This will help in developing innovative MXene-based biosensing platforms towards advancing the application of such devices in point-of-care (POC) diagnosis.

Authors

Publication Details

Journal
Applied Surface Science Advances
Published
2026-02-26
DOI
https://doi.org/10.1016/j.apsadv.2026.100959
Primary Topic
MXene and MAX Phase Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of MXene-based nanocomposites in electrochemical biosensors

Mahan Hosseinzadeh Fakhr, Aidee Itandehui Garcia Zintzun, Natalia Beshchasna, A. Michaelis et al.
Applied Surface Science Advances
MXene and MAX Phase Materials
article

Application of MXene-based nanocomposites in electrochemical biosensors

Mahan Hosseinzadeh Fakhr, Aidee Itandehui Garcia Zintzun, Natalia Beshchasna, A. Michaelis, Joerg Opitz
article en

Abstract

MXene is among the most attractive two-dimensional (2D) nanomaterials for construction of advanced electrochemical biosensors owing to their superior electrical and mechanical properties, tunable hydrophilicity, large surface-to-volume ratio, excellent electrochemical properties, facile functionalization, and good biocompatibility. Furthermore, MXene nanomaterials possess excellent conductivity, facilitating the electrical signal transmission in biosensors. They also offer a large surface area, providing active sites for interactions with biomolecules, thereby enhanced detection of various analytes contributing to the sensitive and precise construction of biosensors. In this review, recent breakthroughs in the concept, development, and bio-sensing applications of various MXene-based electrochemical biosensors have been summarized. More specifically, this review attempts to detail the MXene nanocomposites and MXene hydrogels as the most effective strategies to make full use of the electrochemical performance of MXene as well as the reports where MXene nanocomposites have been used in electrochemical biosensors, so that the future prospect of these cutting-edge 2D materials can be analyzed. This will help in developing innovative MXene-based biosensing platforms towards advancing the application of such devices in point-of-care (POC) diagnosis.

Applied Surface Science AdvancesVol. 32
Affordable and clean energy
Openalex Percentile: Top 44%
MXene and MAX Phase Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.