Wearable and elastic pressure sensors have caused widespread concern due to the popularity of smart terminals and human health monitoring. To obtain a flexible pressure sensor with a wide detection region and outstanding sensitivity, exploring new materials and novel structures has become the first choice for the research. Here, a wearable and flexible MXene fibrous network pressure sensor (MFNS) with a high sensitivity and wide detection region is reported. The holistic fiber network is composed of pure MXene fibers; among them, MXene fibers were prepared by wet-spinning of MXene nanosheets. The MFNS exhibits a high sensitivity in a wide detection region (51 kPa for 14.7 kPa and 427 kPa within the 14.7-19.9 kPa range), a low detection limit (8 Pa), a robust durability (10,000 cycles), and a prompt response (95 ms). Due to the superior performance of MFNS, it also proves prospective applications for human motion signal detection (such as swallowing, pulse beat, and joint motion) and measuring pressure distribution. This work provides an effective way to fabricate a high-performance pressure sensor for human-machine interactions, personal healthcare monitoring, and multitouch devices.
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http://dx.doi.org/10.1021/acs.langmuir.2c00054 | DOI Listing |
Adv Mater
January 2025
Hubei key laboratory of energy storage and power battery, School of Mathematics, Physics and Optoelectronic Engineering, Hubei University of Automotive Technology, Shiyan, 442002, P. R. China.
The inherent trade-off between permeability and selectivity has constrained further improvement of passive linear force-electric conversion performance in nanofluidic pressure sensors. To overcome this limitation, a 3D nanofluidic membrane with high mechanical strength utilizing aramid nanofibers/carbon nanofiber (ANF/CNF) dual crosslinking is developed. Due to the abundant surface functional groups of CNF and the high mechanical strength of ANF, this large-scale integrated 3D nanofluidic membrane exhibits advantages of high flux, high porosity, and short ion transport path, demonstrating superior force-electric response compared to conventional 1D and 2D configurations.
View Article and Find Full Text PDFJ Vasc Surg Cases Innov Tech
February 2025
Department of Health and Kinesiology, Purdue University, West Lafayette, IN.
People with symptomatic lower extremity peripheral artery disease (PAD) suffer from severe leg pain, walking impairment, and reduced quality of life, but few effective treatments are available. Emerging evidence suggests that regular heat therapy (HT) may improve cardiovascular and physical function in patients with PAD. However, the lack of accessible, practical modalities for unsupervised HT, especially for elderly individuals, has hindered clinical implementation.
View Article and Find Full Text PDFACS Omega
December 2024
Department of Chemistry, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
Since the 1980s, pressure-sensitive paint (PSP) has been used as an optical pressure sensor for measuring surface pressure on aircraft models in wind tunnels. Typically, PSPs have utilized platinum(II)-5,10,15,20-tetrakis(2,3,4,5,6-pentafluorophenyl)-porphyrin due to its high pressure sensitivity, phosphorescence lifetime of ∼50 μs, reasonable quantum yield of emission, and resistance to photo-oxidation. This work investigates the photophysics and electronic structure of metal complexes of 5,10,15,20-tetrakis(2,3,4,5,6-pentafluorophenyl)-porphyrin, namely, Zn(II), Pd(II), and Ir(III), as potentially improved luminophores for polymer-based PSPs.
View Article and Find Full Text PDFACS Omega
December 2024
China University of Petroleum-Beijing, Changping, Beijing 102249, China.
One of the key points in the construction of smart oil and gas fields is the effective utilization of data. Virtual Flow Metering (VFM), as one of the representative research directions for digital transformation, can obtain real-time production from oil and gas wells without the need for additional field instrumentation, utilizing pressure and temperature data obtained from sensors and employing multiphase flow mechanism models. The data-driven VFM demonstrates a commendable capacity in capturing the nonlinear relationship between sensor data and flow rates, while circumventing the necessity for rigorous analysis of the underlying mechanistic processes.
View Article and Find Full Text PDFACS Sens
January 2025
Jiangsu Provincial Key Laboratory of Advanced Robotics, School of Mechanical and Electric Engineering, Soochow University, Suzhou 215137, China.
Atrial fibrillation (AF) as one of the most common cardiovascular diseases has attracted great attention due to its high disability and mortality rate. Thus, a timely and effective recognition method for AF is of great importance for diagnosing and preventing it. Herein, we proposed a novel intelligent sensing and recognition system for AF which combined Traditional Chinese Medicine (TCM), flexible wearable electronic devices, and artificial intelligence.
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