학술논문

Direct-Writing MXene/Polypropylene Composites for Wearable Humidity Sensors With Multiple Applications
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 24(9):15241-15251 May, 2024
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Sensors
Humidity
Biomedical monitoring
Wearable sensors
Monitoring
Ink
Chemical sensors
Direct writing
humidity sensor
metal carbides/nitrides (MXene)/polypropylene (PP) composite
wearable mask
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
Wearable humidity sensors have attracted extensive interest because of their affordability, high sensitivity, portability, and ease of use in the rapidly developing fields of noncontact medical diagnostics, healthcare monitoring, and environmental sensing. However, achieving a high-performance and stable wearable humidity sensor for healthcare monitoring, such as respiration, is still challenging. In this work, we propose a simple direct-writing method for the in situ fabrication of wearable resistive-type humidity sensors based on Ti3C2Tx metal carbides/nitrides (MXene). The sensing performance of MXene/PP composite-based humidity sensors has been thoroughly investigated, including sensitivity (0.601%/%RH), response/recovery time (17/37 s), and stability (20 h under 84% RH). Moreover, we demonstrate that the proposed wearable humidity sensor can accurately recognize different breathing patterns and monitor human respiration in real time, enabling the evaluation of physiological conditions for early warning. In addition, it can easily monitor sleep quality and rapidly identify any issues with mask use. Even more, an MXene/PP composite-based humidity sensor matrix can be applied for noncontact gesture tracing. Therefore, this work provides a practical solution for the fabrication of wearable, high-performance humidity sensors for individualized healthcare monitoring in real time, which paves a solid path for the creation of personalized healthcare monitoring devices.