Bioinspired nanomaterials for wearable sensing and human-machine interfacing

Nano Research, Journal Year: 2023, Volume and Issue: 17(2), P. 445 - 461

Published: July 26, 2023

Language: Английский

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Rapid and highly sensitive detection of formaldehyde gas via a polyoxometalate–CuBi ₂O ₄ composite gas sensor

Polyoxometalates, Journal Year: 2024, Volume and Issue: 3(2), P. 9140053 - 9140053

Published: Jan. 4, 2024

Quick response and high sensitivity are equally important for the practical application of gas sensors. In this study, we introduced polyoxometalates (POMs) into a classical ternary metal oxide CuBi₂O₄ first time by convenient electrospinning prepared group heater-type sensors using CuBi₂O₄/PW₁₂ composite nanofibers. The sensor performances to formaldehyde were explored. results proved that gas-sensing (PW₁₂ = H₃PW₁₂O₄₀·xH₂O) 100 ppm was increased 6.68, which 3.92 times greater than sensing capacity pure sensor. Simultaneously, exhibited highly rapid response/recovery only 1/2 s, is significantly faster reported in past literature. cause improvement performance assessed via mechanism it found introduction PW₁₂ contributed its enhanced performance. It PW₁₂, as an electron acceptor, carrier mobility reduced electron–hole recombination, thus contributing properties. Moreover, other parameters such selectivity, humidity resistance, repeatability, long-term stability investigated. Hence, study literature on development polyoxometalates-based

Language: Английский

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Self‐powered sensor based on compressible ionic gel electrolyte for simultaneous determination of temperature and pressure

InfoMat, Journal Year: 2024, Volume and Issue: 6(7)

Published: April 29, 2024

Abstract The simultaneous detection of multiple stimuli, such as pressure and temperature, has long been a persistent challenge for developing electronic skin (e‐skin) to emulate the functionality human skin. Meanwhile, demand integrated power supply units is an additional pressing concern achieve its lightweightness flexibility. Herein, we propose self‐powered dual temperature–pressure (SPDM) sensor, which utilizes compressible ionic gel electrolyte driven by potential difference between MXene Al electrodes. SPDM sensor exhibits rapid timely response changes in pressure‐induced deformation, while exhibiting slow hysteretic temperature variations. These distinct characteristics enable differentiation current signals generated different stimuli through machine learning, resulting impressive accuracy rate 99.1%. Furthermore, developed wide range 0–800 kPa broad 5–75°C, encompassing environmental conditions encountered daily life. dual‐mode coupled strategy learning provides effective approach discrimination, showcasing applications wearable electronics, intelligent robots, human–machine interactions, so on.

Language: Английский

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Flourishing electronic textiles towards pervasive, personalized and intelligent healthcare

Soft Science, Journal Year: 2024, Volume and Issue: 4(1)

Published: Jan. 4, 2024

In the face of pandemic infectious diseases and increasing aging trends, traditional public health systems lack capacity for real-time monitoring, immediate clinical detection, continuous vital sign implementation long-cycle treatment protocols, among other deficiencies. On basis rapid development wearable electronic devices, Internet Things, artificial intelligence, future healthcare model will transform from a therapeutic, centralized, passive, even one-size-fits-all to new paradigm proactive, preventive, personalized, customized, intelligent way. The electronics has facilitated evolution biological enabling monitoring critical biomarkers diagnostic treatment, physiological assessment. Electronic textiles (e-textiles) are rapidly developing in recent years. They have revolutionized functionality by incorporating smart attributes, unique multifunctional applications. Significantly, e-textiles made notable advancements field personalized healthcare. article introduces several common their applications medicines, which also gives forward-looking outlook on growth diseases, preventive auxiliary therapy, rehabilitation training.

Language: Английский

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MXene-Integrated Single-Stranded Carbon Yarn-Based Wearable Sensor Patch for On-Site Monitoring of Dopamine

ACS Applied Electronic Materials, Journal Year: 2024, Volume and Issue: 6(1), P. 599 - 610

Published: Jan. 5, 2024

The demand for noninvasive wearable sensors on-site monitoring has surged, particularly in the realm of personalized healthcare. This study introduces a pioneering approach employing MXene-integrated single-stranded carbon yarn-based sensor patch utilizing minimalist three-thread electrode setup real-time dopamine levels from artificial human sweat. ability to immediately sew, weave, or stitch platforms onto any type clothing makes thread-based patches extremely promising, and it can be positioned close proximity skin. Flexible conductive yarn (CCY) was modified by Ti3C2Tx MXene facile dip-coating method which used as sensing electrodes. Leveraging MXene's high surface area exceptional conductivity, sensor's architecture achieved heightened sensitivity selectivity detection reproducibility broad linear range 1 nM–1 μM with limit 316 pM, along real sample tests showing promise this platform physiological performance/fitness under stress well diagnostic through sweat analysis. configuration, strategically embedded within patch, ensures ease use comfortable, on-body application, offering promising avenue continuous, individuals neurological disorders relevant medical conditions. highlights potential setup, advancing field technologies healthcare point-of-care diagnostics.

Language: Английский

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