Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

MXene, an emerging two-dimensional nanomaterial, has attracted considerable interest due to its large surface area, excellent mechanical strength, and superior electrical and chemical properties, making it a strong candidate for high-performance pressure sensors. However, its inherent tendency to self-stack limits the tunability of its interlayer structure, which is critical for resistance-based sensing mechanisms. In this work, we successfully achieved continuous tuning of MXene's interlayer spacing, effectively enhancing the sensitivity and overall performance of the pressure sensor. The optimized sensor exhibited outstanding linear sensitivities of 145.5 kPa in the low-pressure range (0-18 kPa) and 25.7 kPa in the medium range (18-50 kPa), along with fast response and recovery times of 68 and 40 ms. Furthermore, it demonstrated excellent durability with stable performance over 10,000 loading/unloading cycles. The sensor was further applied to real-time monitoring of human motions, health signals, and human-machine interactions, highlighting its strong potential in next-generation wearable electronics and smart sensing applications.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.nanolett.5c01464DOI Listing

Publication Analysis

Top Keywords

pressure sensor
8
nanoscale interlayer
4
interlayer engineering
4
engineering enhances
4
enhances mxene-based
4
mxene-based flexible
4
flexible pressure
4
sensor
4
sensor mxene
4
mxene emerging
4

Similar Publications

In situ rapid gelation and osmotic dehydration-assisted preparation of graphene aerogel and its application in piezoresistive sensors.

J Colloid Interface Sci

September 2025

State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.. Electronic address:

This study presents a straightforward and rapid method for preparing graphene aerogel by integrating a sodium alginate (SA)-metal ion crosslinking system, a bubble template, and an osmotic dehydration process. Graphene oxide (GO) nanosheets were dispersed into the solution crosslinked by SA and metal ions, leading to rapid gelation of GO under ambient conditions. To minimize structural damage to the porous network caused by water molecules during the drying process, an osmotic dehydration technique was employed as an auxiliary drying method.

View Article and Find Full Text PDF

Deep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring.

Nanomicro Lett

September 2025

Nanomaterials & System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea.

Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring, clinical diagnosis, and robotic applications. Nevertheless, it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility, adhesion, self-healing, and environmental robustness with excellent sensing metrics. Herein, we report a multifunctional, anti-freezing, self-adhesive, and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes (CoN CNT) embedded in a polyvinyl alcohol-gelatin (PVA/GLE) matrix.

View Article and Find Full Text PDF

The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology.

View Article and Find Full Text PDF

AlN is a core material widely used as a substrate and heat sink in various electronic and optoelectronic devices. Introducing luminescent properties into intrinsic AIN opens new opportunities for next-generation intelligent sensors, self-powered displays, and wearable electronics. In this study, the first evidence is presented of AlN crystals exhibiting satisfactory mechanoluminescence (ML), photoluminescence (PL), and afterglow performance, demonstrating their potential as novel multifunctional optical sensors.

View Article and Find Full Text PDF

Localized Gradient Conductivity Enabled Ultrasensitive Flexible Tactile Sensors with Ultrawide Linearity Range.

Adv Mater

September 2025

Key Laboratory of Low Dimensional Quantum Structures and Quantum Control of Ministry of Education, School of Physics and Electronics, Hunan Normal University, Changsha, 410081, China.

The high sensitivity and wide linearity are crucial for flexible tactile sensors in adapting to diverse application scenarios with high accuracy and reliability. However, conventional optimization strategies of constructing microstructures suffer from the mutual restriction between the high sensitivity and wide linearity. Herein, a novel design of localized gradient conductivity (LGC) with partly covered low-conductivity (low-σ) carbon/Polydimethylsiloxane layer on high-conductivity (high-σ) silver nanowires film upon the micro-dome structure is proposed.

View Article and Find Full Text PDF