journal article·2026-02

High‐Performance Paper‐Based Humidity Sensor with Self‐Assembling 3D Composite Structure Utilizing MXene‐Functionalized Graphene Oxide Strategy for Wearable Medical Monitoring

Xiaowen Zhu, Xiaoli Liu, Peng Wang, Fei Wu, Shaowen Mu, Jianhong Hao, Xiaomeng Yao, Chuanjie Tong, Yunong Zhao, Qi Sun, Aoyun Jiang, Zhiyi Wu, Xiaohui Guo

Advanced Materials Technologies· Volume 11· Issue 4
Publisher page

Abstract

Abstract In the field of health monitoring, there is an increased requirement for humidity sensing that can achieve a balance among high‐performance detection, wearability, and environmental sustainability. Current humidity sensing often does not perform well enough due to the insufficient available adsorption sites for water molecules within the sensing layer and the lack of effective transmission paths. Herein, this study leverages the Ti─O─C bond at the MXene (Ti 3 C 2 T x )‐graphene oxide (GO) interface to drive the spontaneous formation of a 3D configuration with an enhanced specific surface area. The 3D MXene@GO configuration exhibits an overall morphology characterized by surface with micro‐wrinkles. The MXene@GO composite sensing layer is successfully synthesized on rice paper‐based interdigital electrode substrate through a facile dip‐coating process. This 3D architecture is expected to increase water molecule adsorption sites, improve transmission pathways, thereby obtaining enhanced moisture‐sensitive properties. By optimizing the process parameters, the sensor exhibits outstanding mechanical flexibility and superior response/recovery characteristics (36.306 s/21.376 s, from 22 to 98 %RH). The proof‐of‐concept demonstrations for continuous human respiratory pattern analysis and wound exudate level assessment further validates its potential in wearable biomedical scenarios.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Gas Sensing Nanomaterials and Sensors · MXene and MAX Phase Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Integrated Circuits Anhui University Hefei 230601 China

School of Chemical Engineering Zhengzhou University Zhengzhou 450001 China

College of Materials and Metallurgy Guizhou University Guiyang 550025 China

Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 China

Funding

National Natural Science Foundation of China

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