Intermolecular Interaction-Assisted Selective Sensing Using an MXene-Based Chemoresistive Sensor

MXene, a family of two-dimensional (2D) layered materials, finds potential applications in gas sensors; however, sensors fabricated with pristine MXene generally suffer from poor selectivity. Herein, we demonstrate tunable selectivity in MXene-based sensors by modifying the surface functionality of MXene layers with 4-bromotriphenylamine (TPA) and 11-mercaptoundecanoic acid (MUA). The intermolecular interactions between analyte molecules and the functionalized MXene surface enable a tunable and selective response to hydrogen bond-rich molecules: MUA-MXene shows preferential sensitivity to methanol, whereas TPA-MXene exhibits an enhanced response to ammonia. Surface functionalization simultaneously improves both the response sensitivity and response time. Furthermore, our results reveal that surface-absorbed water plays a critical role in maintaining a stable gas response, particularly interflake water molecules that facilitate hydrogen bonding between MXene channels and gas molecules. We also developed a stretchable MXene-based ammonia sensor by integrating elastic substrates, stretchable electrodes, and TPA-MXene film. This sensor demonstrates remarkable and stable performance in detecting ammonia (100 to 1000 ppm of NH3 at 80% relative humidity) under mechanical strain, maintaining functionality under 40% parallel strain and 20% perpendicular strain over a two-month period. The robustness suggests potential applications in breath analysis.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-08-11
DOI
https://doi.org/10.1021/acsaelm.5c01095
Primary Topic
MXene and MAX Phase Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intermolecular Interaction-Assisted Selective Sensing Using an MXene-Based Chemoresistive Sensor

Chenghang Zheng, Longchao Yao, Xiang Gao, Yan Hu
ACS Applied Electronic Materials
MXene and MAX Phase Materials
article

Intermolecular Interaction-Assisted Selective Sensing Using an MXene-Based Chemoresistive Sensor

Chenghang Zheng, Longchao Yao, Xiang Gao, Yan Hu
article en

Abstract

MXene, a family of two-dimensional (2D) layered materials, finds potential applications in gas sensors; however, sensors fabricated with pristine MXene generally suffer from poor selectivity. Herein, we demonstrate tunable selectivity in MXene-based sensors by modifying the surface functionality of MXene layers with 4-bromotriphenylamine (TPA) and 11-mercaptoundecanoic acid (MUA). The intermolecular interactions between analyte molecules and the functionalized MXene surface enable a tunable and selective response to hydrogen bond-rich molecules: MUA-MXene shows preferential sensitivity to methanol, whereas TPA-MXene exhibits an enhanced response to ammonia. Surface functionalization simultaneously improves both the response sensitivity and response time. Furthermore, our results reveal that surface-absorbed water plays a critical role in maintaining a stable gas response, particularly interflake water molecules that facilitate hydrogen bonding between MXene channels and gas molecules. We also developed a stretchable MXene-based ammonia sensor by integrating elastic substrates, stretchable electrodes, and TPA-MXene film. This sensor demonstrates remarkable and stable performance in detecting ammonia (100 to 1000 ppm of NH3 at 80% relative humidity) under mechanical strain, maintaining functionality under 40% parallel strain and 20% perpendicular strain over a two-month period. The robustness suggests potential applications in breath analysis.

ACS Applied Electronic MaterialsVol. 7(16)
Ningbo University (CN), University of Nottingham Ningbo China (CN), Japan Coal Energy Center (JP), State Key Laboratory of Clean Energy Utilization, Zhejiang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 85%
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.