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Flexible Monolithic 3D-Integrated Self-Powered Tactile Sensing Array Based on Holey MXene Paste 被引量:1
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作者 Mengjie Wang Chen Chen +9 位作者 Yuhang Zhang Yanan Ma Li Xu Dan‑Dan Wu Bowen Gao Aoyun Song Li Wen Yongfa Cheng Siliang Wang Yang Yue 《Nano-Micro Letters》 2026年第2期772-785,共14页
Flexible electronics face critical challenges in achieving monolithic three-dimensional(3D)integration,including material compatibility,structural stability,and scalable fabrication methods.Inspired by the tactile sen... Flexible electronics face critical challenges in achieving monolithic three-dimensional(3D)integration,including material compatibility,structural stability,and scalable fabrication methods.Inspired by the tactile sensing mechanism of the human skin,we have developed a flexible monolithic 3D-integrated tactile sensing system based on a holey MXene paste,where each vertical one-body unit simultaneously functions as a microsupercapacitor and pressure sensor.The in-plane mesopores of MXene significantly improve ion accessibility,mitigate the self-stacking of nanosheets,and allow the holey MXene to multifunctionally act as a sensing material,an active electrode,and a conductive interconnect,thus drastically reducing the interface mismatch and enhancing the mechanical robustness.Furthermore,we fabricate a large-scale device using a blade-coating and stamping method,which demonstrates excellent mechanical flexibility,low-power consumption,rapid response,and stable long-term operation.As a proof-of-concept application,we integrate our sensing array into a smart access control system,leveraging deep learning to accurately identify users based on their unique pressing behaviors.This study provides a promising approach for designing highly integrated,intelligent,and flexible electronic systems for advanced human-computer interactions and personalized electronics. 展开更多
关键词 Holey MXene Microsupercapacitor Tactile sensor Monolithic 3D integration Deep learning algorithm
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More than ten years of hydration of an in situ large-scale sealing experiment(NSC),Meuse/Haute-Marne Underground Research Laboratory,France 被引量:1
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作者 Rémi de La Vaissière Jean Talandier 《Journal of Rock Mechanics and Geotechnical Engineering》 2026年第1期20-38,共19页
This article presents findings from an extensive experimental program conducted by the French Agency for the Management of Radioactive Waste(ANDRA)at its Underground Research Laboratory.The focus of the study is the N... This article presents findings from an extensive experimental program conducted by the French Agency for the Management of Radioactive Waste(ANDRA)at its Underground Research Laboratory.The focus of the study is the NSC(Noyau de SCellement)experiment,designed to assess the performance of a sealing core composed of a mixture of 40%bentonite and 60%sand.The objective is to evaluate in situ hydraulic permeability,swelling behavior,and gas performance of the seal,which are essential components for the safe disposal of Intermediate-Level(IL)and High-Level Radioactive Waste(HLW)in deep geological repositories.The experimental setup,construction details of the NSC experiment,and the timeline of the project,from excavation,construction of the seal,and artificial hydration to hydraulic permeability tests,are comprehensively described.Andra has acquired valuable expertise in constructing an engineered barrier system,encompassing concrete plugs,and efficiently assembling a 5-m-long seal.Over the past decade,a controlled water injection process has been employed to hydrate the seal.The operational efficiency of sensors has been evaluated,with pore pressure sensors exhibiting moderate performance.In contrast,others,including total pressure,capacitive humidity,psychrometric humidity,and saturation sensors,demonstrate excellent performance up to their operational limits.The high-quality data obtained from this experiment will facilitate the modeling of the resaturation and hydraulic-gas performance of the seal. 展开更多
关键词 Engineering barrier system Bentonite/sand mixture Artificial hydration Sensor performance Hydraulic performance
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Visual Detection of Shrimp Freshness via Colorimetric Sensors
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作者 SONG Guangjie WANG Lei TIAN Yanqing 《高等学校化学学报》 北大核心 2026年第1期198-204,共7页
Monitoring biogenic amines,which are metabolic byproducts of shrimp spoilage,is crucial for assessing food quality.Currently,most detection methods for biogenic amines suffer from limitations such as time-consuming pr... Monitoring biogenic amines,which are metabolic byproducts of shrimp spoilage,is crucial for assessing food quality.Currently,most detection methods for biogenic amines suffer from limitations such as time-consuming procedures,complex operations,and delayed results.Colorimetric analysis techniques have gained attention in recent years due to their advantages of short analysis time,simple operation,and suitability for on-site testing.This study successfully developed a series of colorimetric sensor platforms for biogenic amines by loading the natural active ingredient curcumin(CUR)and its derivative of Boron complex BFCUR onto filter paper and electrospun nanofibre films(ENFs),respectively.By analyzing the color response differences of these sensors upon contact with biogenic amines,the colorimetric sensors with superior detection performance were selected and further applied to the visual monitoring and indication of shrimp spoilage processes. 展开更多
关键词 Shrimp freshness Colorimetric analysis Biogenic amine SENSOR
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Gold nanowire bias-core PCF-SPR temperature and refractive index sensing
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作者 HOU Shang-lin DONG Jie +4 位作者 YANG Xu-dong LIU Qing-min XIE Cai-jian WU Gang YAN Zu-yong 《中国光学(中英文)》 北大核心 2026年第2期382-394,共13页
To address the challenges of complex metallic film coating processes and low integration in single-parameter detection for existing photonic crystal fiber surface plasmon resonance(PCF-SPR)sensors,a dual-parameter sen... To address the challenges of complex metallic film coating processes and low integration in single-parameter detection for existing photonic crystal fiber surface plasmon resonance(PCF-SPR)sensors,a dual-parameter sensor based on gold nanowire-integrated bias-core PCF-SPR is proposed.Unlike conventional in-hole coatings or metallic film structures,the gold nanowires are directly attached to the fiber cladding via chemical vapor deposition(CVD),eliminating uneven coating issues and significantly simplifying fabrica-tion.By optimizing the asymmetric bias-core fiber structure and leveraging the strong localized field en-hancement of gold nanowires,the sensor achieves high-sensitivity synchronous detection of temperature(25−60℃)and refractive index(1.31−1.40)in dual-polarization modes.The simulation results demonstrate that the x-polarization mode can achieve 1.31−1.40 refractive index detection with maximum wavelength sensitivity and amplitude sensitivity of 14800 nm/RIU and−1724.25 RIU^(−1),and maximum refractive index resolution of 6.75×10^(−6)RIU.The y-polarization mode achieves refractive index detection range of 1.34−1.40,and the maximum wavelength sensitivity and amplitude sensitivity are 28400 nm/RIU and−1298.93 RIU^(−1),and the maximum refractive index resolution is 3.52×10^(−6)RIU.For temperature sensing,the sensor exhibits a wavelength sensitivity of 7.8 nm/℃and a high resolution of 1.38×10^(−6)℃over the range of 25−60℃.This design synergizes gold nanowires and the bias-core architecture to simplify fabrication while enabling multi-parameter detection.The proposed sensor offers new insights for integrated applications in biochemical mon-itoring,environmental sensing,and related fields. 展开更多
关键词 photonic crystal fiber surface plasmon resonance gold nanowires TEMPERATURE sensor
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Cavity ring-down spectroscopy CO gas sensor integrating principal component analysis with savitzky-golay filtering
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作者 GUO Zi-long SHI Cheng-rui +4 位作者 DONG Yuan-yuan ZHANG Lei SUN Xiao-yuan SUN Jing-jing ZHOU Sheng 《中国光学(中英文)》 北大核心 2026年第1期179-189,共11页
The Savitzky-Golay(SG)filter,which employs polynomial least-squares approximations to smooth data and estimate derivatives,is widely used for processing noisy data.However,noise suppression by the SG filter is recogni... The Savitzky-Golay(SG)filter,which employs polynomial least-squares approximations to smooth data and estimate derivatives,is widely used for processing noisy data.However,noise suppression by the SG filter is recognized to be limited at data boundaries and high frequencies,which can significantly reduce the signal-to-noise ratio(SNR).To solve this problem,a novel method synergistically integrating Principal Component Analysis(PCA)with SG filtering is proposed in this paper.This approach avoids the is-sue of excessive smoothing associated with larger window sizes.The proposed PCA-SG filtering algorithm was applied to a CO gas sensing system based on Cavity Ring-Down Spectroscopy(CRDS).The perform-ance of the PCA-SG filtering algorithm is demonstrated through comparison with Moving Average Filtering(MAF),Wavelet Transformation(WT),Kalman Filtering(KF),and the SG filter.The results demonstrate that the proposed algorithm exhibits superior noise reduction capabilities compared to the other algorithms evaluated.The SNR of the ring-down signal was improved from 11.8612 dB to 29.0913 dB,and the stand-ard deviation of the extracted ring-down time constant was reduced from 0.037μs to 0.018μs.These results confirm that the proposed PCA-SG filtering algorithm effectively improves the smoothness of the ring-down curve data,demonstrating its feasibility. 展开更多
关键词 cavity ring-down spectroscopy CO gas sensor principal component analysis Savitzky-Golay filter
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A noise suppression method for interferometric fiber optic sensor based on ameliorated EFA and adaptive SVMD
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作者 PENG Meng-fan ZHOU Ci-ming +5 位作者 PAN Zhen JIANG Han LI Ao WANG Tian-yi LIU Han-jie FAN Dian 《中国光学(中英文)》 北大核心 2026年第2期395-406,共12页
Noise interference critically impairs the stability and data accuracy of sensing systems.However,current suppression strategies fail to concurrently mitigate intrinsic system noise and extrinsic environmental noise.Th... Noise interference critically impairs the stability and data accuracy of sensing systems.However,current suppression strategies fail to concurrently mitigate intrinsic system noise and extrinsic environmental noise.This study introduces a composite denoising approach to address this challenge.This method is based on the ameliorated ellipse fitting algorithm(AEFA)and adaptive successive variational mode decomposition(ASVMD).This algorithm employs AEFA to eliminate system noise tightly coupled with direct-current and alternating-current components in the interference signal,thereby obtaining a phase signal containing only environmental noise.The ASVMD technique adaptively extracts environmental noise components predominantly present in the phase signal.To achieve optimal decomposition results automatically,the permutation entropy criterion is employed to refine decomposition parameters.The correlation coefficient is utilized to differentiate effective components from noise components in the decomposition results.Experimental results indicate that the combined AEFA and ASVMD algorithm effectively suppresses both system and environmental noises.When applied to 50 Hz vibration signal processing,the proposed approach achieves a noise reduction of 17.81 dB and a phase resolution of 35.14μrad/√Hz.Given the excellent performance of the noise suppression,the proposed approach holds great application potential in high-performance interferometric sensing systems. 展开更多
关键词 interferometric fiber optic vibration sensor ellipse fitting algorithm successive variational mode decomposition noise suppression
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Thermally Drawn Flexible Fiber Sensors:Principles,Materials,Structures,and Applications
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作者 ZhaoLun Zhang Yuchang Xue +7 位作者 Pengyu Zhang Xiao Yang Xishun Wang Chunyang Wang Haisheng Chen Xinghua Zheng Xin Yin Ting Zhang 《Nano-Micro Letters》 2026年第1期95-129,共35页
Flexible fiber sensors,However,traditional methods face challenges in fabricating low-cost,large-scale fiber sensors.In recent years,the thermal drawing process has rapidly advanced,offering a novel approach to flexib... Flexible fiber sensors,However,traditional methods face challenges in fabricating low-cost,large-scale fiber sensors.In recent years,the thermal drawing process has rapidly advanced,offering a novel approach to flexible fiber sensors.Through the preform-tofiber manufacturing technique,a variety of fiber sensors with complex functionalities spanning from the nanoscale to kilometer scale can be automated in a short time.Examples include temperature,acoustic,mechanical,chemical,biological,optoelectronic,and multifunctional sensors,which operate on diverse sensing principles such as resistance,capacitance,piezoelectricity,triboelectricity,photoelectricity,and thermoelectricity.This review outlines the principles of the thermal drawing process and provides a detailed overview of the latest advancements in various thermally drawn fiber sensors.Finally,the future developments of thermally drawn fiber sensors are discussed. 展开更多
关键词 Thermally drawn fiber sensors Sensing principles Temperature sensors Mechanical sensors Multifunctional sensors
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Interpretable and Reliable Soft Sensor Development in Industry 5.0
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作者 Liang Cao Jianping Su +2 位作者 Fan Yang Yankai Cao Bhushan Gopaluni 《IEEE/CAA Journal of Automatica Sinica》 2026年第1期236-238,共3页
Dear Editor,This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications.Although sophisticated machine learning methods have made remarkable strides in soft-... Dear Editor,This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications.Although sophisticated machine learning methods have made remarkable strides in soft-sensor predictive accuracy,ensuring interpretability and reliable performance across varying industrial operating conditions remains a challenge[1]–[4].This is precisely what Industry 5.0,proposed by the European Commission in 2021,advocates[5],[6].It integrates various cutting-edge technologies,such as human-machine interaction,digital twins,cybersecurity and artificial intelligence,to facilitate the development of better soft sensors. 展开更多
关键词 machine learning digital twins CYBERSECURITY interpretable soft sensors soft sensors sophisticated machine learning methods INDUSTRY reliable soft sensors
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Tactile Sensor for Subcutaneous Vocal Organ Vibrations Inspired by Otolith Cilia
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作者 Chang Ge 《Journal of Bionic Engineering》 2026年第1期302-310,共9页
Tactile sensing of subcutaneous organ vibrations provides a promising route toward human-machine interfaces and wear-able diagnostics,particularly for voice rehabilitation and silent-speech communication.Here,we prese... Tactile sensing of subcutaneous organ vibrations provides a promising route toward human-machine interfaces and wear-able diagnostics,particularly for voice rehabilitation and silent-speech communication.Here,we present a bioinspired piezoelectric vibration sensor that mimics the graded stiffness and stress-based transduction mechanism of otolithic cilia in the human vestibular system.The device consists of a trapezoidal cantilever array with tip inertial masses,fabricated through a hybrid stereolithography 3D printing and laser micromachining process for rapid prototyping without cleanroom facilities.Finite-element modeling and experimental measurements demonstrate a fundamental resonance near 1.2 kHz,a 5%flat-bandwidth of 350 Hz,and an in-band charge sensitivity of 3.17 pC/g.A wearable proof-of-concept test further verifies the sensor's ability to reproducibly distinguish phoneme-specific vibration patterns in both time and frequency domains.This work establishes a foundation for bioinspired tactile sensing front-ends in wearable voice interfaces and other intelligent diagnostic systems integrated with machine-learning algorithms. 展开更多
关键词 Piezoelectric sensor Tactile sensor Bionic sensor Subcutaneous vibration sensing
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Sensor Fusion Models in Autonomous Systems:A Review
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作者 Sangeeta Mittal Chetna Gupta Varun Gupta 《Computers, Materials & Continua》 2026年第4期226-257,共32页
This survey presents a comprehensive examination of sensor fusion research spanning four decades,tracing the methodological evolution,application domains,and alignment with classical hierarchical models.Building on th... This survey presents a comprehensive examination of sensor fusion research spanning four decades,tracing the methodological evolution,application domains,and alignment with classical hierarchical models.Building on this long-term trajectory,the foundational approaches such as probabilistic inference,early neural networks,rulebasedmethods,and feature-level fusion established the principles of uncertainty handling andmulti-sensor integration in the 1990s.The fusion methods of 2000s marked the consolidation of these ideas through advanced Kalman and particle filtering,Bayesian–Dempster–Shafer hybrids,distributed consensus algorithms,and machine learning ensembles for more robust and domain-specific implementations.From 2011 to 2020,the widespread adoption of deep learning transformed the field driving some major breakthroughs in the autonomous vehicles domain.A key contribution of this work is the assessment of contemporary methods against the JDL model,revealing gaps at higher levels-especially in situation and impact assessment.Contemporary methods offer only limited implementation of higher-level fusion.The survey also reviews the benchmark multi-sensor datasets,noting their role in advancing the field while identifying major shortcomings like the lack of domain diversity and hierarchical coverage.By synthesizing developments across decades and paradigms,this survey provides both a historical narrative and a forward-looking perspective.It highlights unresolved challenges in transparency,scalability,robustness,and trustworthiness,while identifying emerging paradigms such as neuromorphic fusion and explainable AI as promising directions.This paves the way forward for advancing sensor fusion towards transparent and adaptive next-generation autonomous systems. 展开更多
关键词 Sensor fusion autonomous systems artificial intelligence machine learning sensor data integration intelligent systems
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A Reconfigurable Omnidirectional Triboelectric Whisker Sensor Array for Versatile Human–Machine–Environment Interaction
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作者 Weichen Wang Jiaqi Zhu +9 位作者 Hongfa Zhao Fei Yao Yuzhu Zhang Xiankuan Qian Mingrui Shu Zhigang Wu Minyi Xu Hongya Geng Wenbo Ding Juntian Qu 《Nano-Micro Letters》 2026年第3期121-140,共20页
Developing effective,versatile,and high-precision sensing interfaces remains a crucial challenge in human-machine-environment interaction applications.Despite progress in interaction-oriented sensing skins,limitations... Developing effective,versatile,and high-precision sensing interfaces remains a crucial challenge in human-machine-environment interaction applications.Despite progress in interaction-oriented sensing skins,limitations remain in unit-level reconfiguration,multiaxial force and motion sensing,and robust operation across dynamically changing or irregular surfaces.Herein,we develop a reconfigurable omnidirectional triboelectric whisker sensor array(RO-TWSA)comprising multiple sensing units that integrate a triboelectric whisker structure(TWS)with an untethered hydro-sealing vacuum sucker(UHSVS),enabling reversibly portable deployment and omnidirectional perception across diverse surfaces.Using a simple dual-triangular electrode layout paired with MXene/silicone nanocomposite dielectric layer,the sensor unit achieves precise omnidirectional force and motion sensing with a detection threshold as low as 0.024 N and an angular resolution of 5°,while the UHSVS provides reliable and reversible multi-surface anchoring for the sensor units by involving a newly designed hydrogel combining high mechanical robustness and superior water absorption.Extensive experiments demonstrate the effectiveness of RO-TWSA across various interactive scenarios,including teleoperation,tactile diagnostics,and robotic autonomous exploration.Overall,RO-TWSA presents a versatile and high-resolution tactile interface,offering new avenues for intelligent perception and interaction in complex real-world environments. 展开更多
关键词 Reconfigurable sensor array Interaction interface Tactile perception Omnidirectional sensor Reversible anchoring
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Multifunctional Carbonaceous Nanoreinforced Polymeric Nanofibers—Bridging Fundamental Aspects to Technological Resolves
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作者 Ayesha Kausar 《Journal of Polymer Materials》 2026年第1期64-91,共28页
Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers,owing to growing scientific interests in this field.Accordingly,this state-of-the-art... Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers,owing to growing scientific interests in this field.Accordingly,this state-of-the-art manuscript has been systematically categorized into distinct sections related to(i)fundamentals of carbonaceous nanoreinforcements,(ii)design-structure-property-performance aspects of different categories of polymer nanocomposite nanofibers(conducting polymers,thermoplastics,and thermosets with carbonaceous nanofillers carbon nanotubes,graphene,fullerene),and then(iii)existing scientific worth(energy devices,electronics,space/defense,environmental sectors),future prospects,challenges,and conclusions.As per literature to date,polymer/carbonaceous nanocomposite nanofibers had myriad of advantageous physical characters(morphologies,electrical/charge conduction,thermal conduction,mechanical/thermal resistance,anticorrosion,permeability,radiation absorption).Notably,among conducting polymer nanofibers,polyaniline/carbon nanotube nanofibers revealed superior specific capacitance(~380 Fg^(-1))due to interfacial synergies and electron/charge transfer.Moreover,poly(3-hexylthiophene):phenyl-C61-butyric acid methyl ester/fullerene nanofibers revealed power conversion efficiency~3.6%.Out of thermoplastic systems,poly(vinyl alcohol)/carbon nanotube nanofibers have been designed for piezoelectric sensors(pressure sensitivity~0.28 kPa^(-1))and toxicmetal ion sensors(lead(II)).In addition,cellulose/carbonaceous nanocomposite nanofibers have been applied for supercapacitor electrodes(specific capacitance~250 Fg^(-1))and electromagnetic interference shielding effectiveness(~64-70 dB).Furthermore,epoxy/carbon nanotube nanocomposites revealed~20%-40% enhancements in tensile strength and shear strength due to load transfer properties.As per literature,technological performance of these materials depends upon types/amount of polymers,nanocarbons,and processing methods/parameters used.Owing to novelty of topic,outline,and literature coverage,this review will serve as an all-inclusive guide for concerned field researchers to carry out further industrial scale advancements in the field of nanocomposite nanofibers. 展开更多
关键词 Polymers nanocomposites NANOFIBERS carbon nanotube graphene ELECTROSPINNING SUPERCAPACITORS sensors space membranes
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Highly Conductive,Stable,and Self-Healing MXene-Based Hydrogel Sensor via a Controlled Assembly of Polydopamine and Cellulose Nanocrystal
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作者 Yushi Yu Tongye Ma +6 位作者 Qiang Wei Wang Sun Juntao Tang Guipeng Yu Weiwei Xie Guofu Zhou Zhen Zhang 《Energy & Environmental Materials》 2026年第1期375-384,共10页
MXene is a promising conductive nanofiller for hydrogels due to its excellent electricity conductivity and water dispersibility.However,MXene is prone to oxidize in the presence of air and water,resulting in a signifi... MXene is a promising conductive nanofiller for hydrogels due to its excellent electricity conductivity and water dispersibility.However,MXene is prone to oxidize in the presence of air and water,resulting in a significant loss of conductivity.Polydopamine(PDA)has been coated on MXene to enhance its antioxidation stability via the physical barrier and chemical reducing ability of PDA,which unavoidably causes severe aggregation and a significant decrease in conductivity due to the crosslinking and insulation of PDA.Herein,we propose a facile strategy to construct a highly conductive,stable,and self-healing MXene-based polyvinyl alcohol(PVA)hydrogel by a controlled assembly of PDA and cellulose nanocrystal(CNC).PDA is first formed by oxidation self-polymerization in PVA solution without the presence of CNC and MXene,which can effectively reduce the content of aggregation-inducing groups and avoid the formation of an insulating PDA layer on the surface of MXene.The addition of CNCs results in the easy dispersion of a high content of MXene via hydrogen bonding and electrostatic interactions.The PVA-PDA hydrogel with MXene and CNC as conductive and reinforcing nanofillers(PP-CM)is cross-linked by dynamic borax covalent bonds and shows a conductivity of 7.14 S m^(-1).The introduction of PDA effectively protects MXene and results in only a 14%decrease in conductivity after 7 days,significantly improving antioxidant stability.This hydrogel also possesses rapid self-healing capabilities,achieving 90.5%self-healing efficiency within 10 min.This versatile approach opens new avenues for the preparation and application of MXene-based conductive hydrogels. 展开更多
关键词 cellulose nanocrystals conductive hydrogel MXene POLYDOPAMINE SENSOR
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Highly sensitive,self-powered and ultra-stretchable amphibious ionogel artificial skin
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作者 Mengmeng Chen Jiangshan Zhang +9 位作者 Jiahong Yang Haoran Wang Zhuxin Chang Yuan Peng Kang Qin Huanying Zhou Qijun Sun Yu Wang Zhixian Gao Zhong Lin Wang 《International Journal of Extreme Manufacturing》 2026年第1期737-753,共17页
Ionogel,a novel flexible electronic material,presents a plethora of applications.Despite its potential,the fabrication of multifunctional ionogel with high-performance suitable for diverse scenarios remains a signific... Ionogel,a novel flexible electronic material,presents a plethora of applications.Despite its potential,the fabrication of multifunctional ionogel with high-performance suitable for diverse scenarios remains a significant challenge.In this study,we prepare a multifunctional amphibious ionogel skin(AIGS)using a polymerizable ionic liquid(PIL)and a conductive ionic liquid(IL)in conjunction with titanium carbide(Ti_(3)C_(2)T_(x)-MXene).The resulting soft AIGS materials exhibit ductility,self-healing,and robust adhesion in mechanical properties due to non-covalent interactions,such as ion-dipole interactions and hydrogen bonding.They also demonstrate a wide sensing range(2%-400%),high sensing sensitivity(gauge factor(GF)up to 6.06),and stable sensing performance(good reliability and stability after strain)in electrical properties.The hydrophobic and dynamic viscoelastic network formed by extensive C-F bonds in the used polymer matrix,ensures the AIGS's suitability for amphibious environments.We find that AIGS has excellent triboelectric properties.Utilizing AIGS as a flexible electrode,a single-electrode triboelectric nanogenerator(SE-TENG)was constructed,achieving outstanding output performance(~300 V open-circuit voltage,172 nA short-circuit current,and 34 nC transferred charge).This device can power commercial portable electronic devices and identify different body movements.AIGS-based wearable strain sensors have also been shown to reliably detect human motion,including larger limb movements such as finger flexion and elbow flexion and extension,as well as subtle muscle movements such as frowning and swallowing.In addition,depending on the characteristics of the AIGS application in amphibious environments,the following functions can be realized simultaneously.AIGS in an aquatic environment combined with machine learning for intelligent recognition of breathing type,in an underwater environment combined with Morse code to convey simple information,and motion monitoring in an amphibious environment,demonstrates its potential feasibility in a variety of situations. 展开更多
关键词 MXene ADHESION multi-functional strain sensors WEARABLE TENG
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Two-Dimensional MXene-Based Advanced Sensors for Neuromorphic Computing Intelligent Application
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作者 Lin Lu Bo Sun +2 位作者 Zheng Wang Jialin Meng Tianyu Wang 《Nano-Micro Letters》 2026年第2期664-691,共28页
As emerging two-dimensional(2D)materials,carbides and nitrides(MXenes)could be solid solutions or organized structures made up of multi-atomic layers.With remarkable and adjustable electrical,optical,mechanical,and el... As emerging two-dimensional(2D)materials,carbides and nitrides(MXenes)could be solid solutions or organized structures made up of multi-atomic layers.With remarkable and adjustable electrical,optical,mechanical,and electrochemical characteristics,MXenes have shown great potential in brain-inspired neuromorphic computing electronics,including neuromorphic gas sensors,pressure sensors and photodetectors.This paper provides a forward-looking review of the research progress regarding MXenes in the neuromorphic sensing domain and discussed the critical challenges that need to be resolved.Key bottlenecks such as insufficient long-term stability under environmental exposure,high costs,scalability limitations in large-scale production,and mechanical mismatch in wearable integration hinder their practical deployment.Furthermore,unresolved issues like interfacial compatibility in heterostructures and energy inefficiency in neu-romorphic signal conversion demand urgent attention.The review offers insights into future research directions enhance the fundamental understanding of MXene properties and promote further integration into neuromorphic computing applications through the convergence with various emerging technologies. 展开更多
关键词 TWO-DIMENSIONAL MXenes SENSOR Neuromorphic computing Multimodal intelligent system Wearable electronics
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Slide ring polymer in situ cross-linked conductive ionogel for self-powered sensor
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作者 Yi Zhang Yong Chen +3 位作者 Qian Wang Jian-Qiu Li Song-En Liu Yu Liu 《Chinese Chemical Letters》 2026年第2期442-447,共6页
Possessing excellent mechanical properties,a high-coverage slide-ring conductive gel is constructed by in situ polymerization ofα-cyclodextrin(α-CD)polyrotaxane(PR)and 1-vinyl-3-ethylimidazolium bromide([VEIM]Br)ion... Possessing excellent mechanical properties,a high-coverage slide-ring conductive gel is constructed by in situ polymerization ofα-cyclodextrin(α-CD)polyrotaxane(PR)and 1-vinyl-3-ethylimidazolium bromide([VEIM]Br)ionic liquid(IL),using 1-ethyl-3-methylimidazolium bromide([EMIM]Br)IL as solvent.Benefiting from the compatibility of ILs and alkene-PR,the cross-linked network slide-ring gel not only maintains excellent conductivity(1.52×10^(−2) S/m),but also has effectively improved mechanical properties(513%fracture strain,0.713 MPa fracture stress,211 kPa elastic modulus and 1366 kJ/m^(3) toughness)and adhesive properties(472.3±25.9 kPa).The supramolecular gel can be used as a strain sensor to efficiently monitor deformation signals in real-time at least 200 times.Especially,the slide-ring gel can self-power generated by triboelectric effect and electrostatic induction between the skin layer and the polydimethylsiloxane(PDMS)layer that encapsulates the gel,achieving reversible and durable motion sensing,which provides a convenient pathway for constructing supramolecular self-powered flexible electronic materials. 展开更多
关键词 Supramolecular gel POLYROTAXANE CYCLODEXTRIN Self-powered sensor
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Light-driven synthesis of boron doped graphene dots for measurement of water content in organic solvents
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作者 Zhengxing Gong Kai Shi +1 位作者 Xiaoyan Tu Xinfeng Zhang 《Chinese Chemical Letters》 2026年第2期448-452,共5页
Boron(B)doping serves as a promising strategy to enhance the quantum yield,photostability and environmental robustness of graphene quantum dots(GQDs).In this study,we reported a light-driven strategy for the facile sy... Boron(B)doping serves as a promising strategy to enhance the quantum yield,photostability and environmental robustness of graphene quantum dots(GQDs).In this study,we reported a light-driven strategy for the facile synthesis of boron-doped graphene quantum dots(B-GQDs).Specifically,under continuous stirring at room temperature,ultraviolet irradiation induces the progressive polymerization of o-phenylenediamine(o-PDA)precursors,resulting in the formation of GQDs;meanwhile,2-hydroxyphenylboronic acid(2-HPBA),acting as the B source,participates in the polymerization reaction with o-PDA intermediates,ultimately yielding B-GQDs.This approach significantly improves the technology of preparing QDs,yielding B-GQDs with a remarkably high fluorescence quantum yield of 71.2%.Detailed investigations reveal that the abundant surface functional groups on B-GQDs facilitate hydrogen-bonding interactions with water molecules,enabling their application as fluorescent probes for the quantitative detection of water content in various organic solvents.By integrating B-GQDs,a paper-based fluorescent sensor was successfully designed,achieving ultra-portable water content detection with excellent performance(0%-100%). 展开更多
关键词 B-GQDs Light-driven Water detection Paper-based sensors
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Deep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring
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作者 Kusum Sharma Kousik Bhunia +5 位作者 Subhajit Chatterjee Muthukumar Perumalsamy Anandhan Ayyappan Saj Theophilus Bhatti Yung‑Cheol Byun Sang-Jae Kim 《Nano-Micro Letters》 2026年第2期644-663,共20页
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,... 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,selfadhesive,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.Fabricated using a binary solvent system of water and ethylene glycol(EG),the CoN CNT/PVA/GLE organogel exhibits excellent flexibility,biocompatibility,and temperature tolerance with remarkable environmental stability.Electrochemical impedance spectroscopy confirms near-stable performance across a broad humidity range(40%-95%RH).Freeze-tolerant conductivity under sub-zero conditions(-20℃)is attributed to the synergistic role of CoN CNT and EG,preserving mobility and network integrity.The Co N CNT/PVA/GLE organogel sensor exhibits high sensitivity of 5.75 k Pa^(-1)in the detection range from 0 to 20 k Pa,ideal for subtle biomechanical motion detection.A smart human-machine interface for English letter recognition using deep learning achieved 98%accuracy.The organogel sensor utility was extended to detect human gestures like finger bending,wrist motion,and throat vibration during speech. 展开更多
关键词 Wearable ORGANOGEL Deep learning Pressure sensor Bio-mechanical motion
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Poly(hydroxy urethane-siloxane)Pressure-sensitive Adhesive:Synthesis,Characterization and Its Usage for Skin-contact Sensors
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作者 Chao Xie Ling-Yi Li +5 位作者 Shu-Sheng Li Chuan-Yong Zong Xu-Bao Jiang Xiao-Li Zhu Sheng-Yu Feng Xiang-Zheng Kong 《Chinese Journal of Polymer Science》 2026年第2期536-548,I0017,共14页
Silicone-based pressure-sensitive adhesives(Si-PSAs)are valued for their thermal stability,flexibility,and biocompatibility,but their weak bonding strength restricts high-performance use.Polyurethane-modified Si-PSAs ... Silicone-based pressure-sensitive adhesives(Si-PSAs)are valued for their thermal stability,flexibility,and biocompatibility,but their weak bonding strength restricts high-performance use.Polyurethane-modified Si-PSAs enhance adhesion,however diisocyanates remain essential.The raw materials of isocyanates are toxic,and their synthesis involves phosgene.To make up for those shortcomings,a series of poly(hydroxy urethane-siloxane)PSAs,named as PHUSi here,were synthesized through the ring-opening reaction of cyclic carbonate-functionalized polysiloxanes(PSi_(x)-VEC_(z))with various aliphatic diamines.The PSi_(x)-VEC_(z) precursors were prepared via the hydrosilylation of hydrogen-containing polysiloxanes(PSi_(x)-H_(y))with 4-vinyl-1,3-dioxolan-2-one(VEC).The chemical structures of PSi_(x)-H_(y),PSi_(x)-VEC_(z) and PHUSi were characterized,and bonding properties of PHUSi were systematically evaluated.The influence of architectures on adhesive performance was elucidated through comprehensive analyses,including rheology,crosslink density assessment,and so on.These studies revealed that the tailored design of PHUSi adhesives combine the advantages of traditional Si-PSAs with enhanced adhesion while eliminating isocyanate toxicity.The optimized PHUSi formulation achieved remarkable 180°peel strength(76.5 N/m on skin)and maximum probe tack force(1.61 N),enabling secure 24 h attachment of flexible sensors to skin.These properties make PHUSi particularly suitable for medical applications,as demonstrated by successful implementation in flexible electrocardiogram devices,offering a biocompatible,high-performance adhesive. 展开更多
关键词 Pressure-sensitive adhesives POLYSILOXANE Polyhydroxyurethane Cyclic carbonate Skin-contact sensor
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Multi-Scale Modelling and Simulation of Graphene–PDMS and CNT–PDMS Flexible Capacitive Pressure Sensors for Enhanced Sensitivity
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作者 Rama Gautam Nikhil Marriwala +1 位作者 Reeta Devi Dhariya Singh Arya 《Computers, Materials & Continua》 2026年第5期330-346,共17页
In this study,the multi-scale(meso and macro)modelling was used to predict the electric response of the material.Porosity was introduced through a sugar-templating process to enhance compressibility and sensitivity.Me... In this study,the multi-scale(meso and macro)modelling was used to predict the electric response of the material.Porosity was introduced through a sugar-templating process to enhance compressibility and sensitivity.Mean-field homogenization was employed to predict the electrical conductivity of the nanocomposites,which was validated experimentally through I–V characterisation,confirming stable Ohmic behavior.The homogenised material parameters were incorporated into COMSOLMultiphysics to simulate diaphragmdeflection and capacitance variation under applied pressure.Experimental results showed a linear and stable capacitance response at the force magnitude of 0–7 N.The Graphene nanoplatelets(GnP)–Polydimethylsiloxane(PDMS)sensor demonstrated superior sensitivity(0.0032 pF/N)compared to the CNT–PDMS sensor(0.0019 pF/N),attributed to improved filler dispersion and higher effective surface area of GnP.Finite element simulations were further conducted to evaluate stress distribution in a GnP–PDMS-based capacitive sensor integrated into a shoe insole for gait analysis.The results correlated well with experimental capacitance changes,validating the sensor’s mechanical reliability and pressure sensitivity.This comparative study establishes the GnP–PDMS composite as a more effective candidate for low-cost,biocompatible,and high-performance flexible pressure sensors in wearable biomedical and gait monitoring applications. 展开更多
关键词 Sensitivity COMSOL simulation GRAPHENE POLYDIMETHYLSILOXANE carbon nanotube pressure sensor gait analysis
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