Baile Cui , Xu Gao , Zheng Zhao , Xufeng Xue , Qiming Yang , Jing Jin , Wen Wang , Yong Liang , Dongliang Guo
{"title":"Contactless and passive humidity measurement by using ultra-thin GO nanosheet coated SAW sensor","authors":"Baile Cui , Xu Gao , Zheng Zhao , Xufeng Xue , Qiming Yang , Jing Jin , Wen Wang , Yong Liang , Dongliang Guo","doi":"10.1016/j.sna.2025.116827","DOIUrl":"10.1016/j.sna.2025.116827","url":null,"abstract":"<div><div>The contractless humidity sensing technology with far distance, high sensitivity and fast response is a favorable method to realize humidity measurement in complex environments. Herein, an ultra-thin 1 nm Graphene oxide (GO) film is deposited on the surface of a reflective delay linear SAW device to construct a SAW humidity sensor for wireless signal excitation and passive sensing. A radio frequency (RF) reader with low noise < ±0.003 dB has been successfully designed and manufactured for stable wireless sensing. The hydrogen bond between GO and water molecules, and the viscoelastic-acoustoelectric coupling effect improved the humidity sensitivity. Remarkably, the prepared SAW humidity sensor achieved high humidity sensitivity (0.46 dB/%RH), low detection limit (0.37 % RH), fast response and recovery speed (T<sub>90</sub>=15.5 s, T<sub>10</sub>=16.1 s) and excellent repeatability at 150 cm contractless distance. Practically, the contractless and passive SAW humidity sensor prepared in this study has the potential to realize high-precision and real-time humidity measurement in complex environments.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116827"},"PeriodicalIF":4.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yunqing Lu , Yongqiang Zhou , Di Cheng , Haiheng Ji , Ji Xu , Lei Zhang , Jin Wang
{"title":"3D flexible ZIF-8/Au NPs/micro-hemisphere array substrate for high-performance SERS detection","authors":"Yunqing Lu , Yongqiang Zhou , Di Cheng , Haiheng Ji , Ji Xu , Lei Zhang , Jin Wang","doi":"10.1016/j.sna.2025.116836","DOIUrl":"10.1016/j.sna.2025.116836","url":null,"abstract":"<div><div>Herein, we present a three-dimensional (3D) flexible ZIF-8/Au nanoparticles (NPs)/micro-hemisphere array substrate for high-performance surface-enhanced Raman spectroscopy (SERS) detection. First, a 3D ordered micro-hemisphere array structure was transferred from a rigid sapphire substrate to a flexible polydimethylsiloxane (PDMS) film. Then, Au NPs were adhered to the flexible PDMS film with the micro-hemisphere array via interfacial self-assembly. The 3D micro-hemisphere array offers additional coated sites for Au NPs to form high-density ‘hot spots’. Subsequently, a layer of ZIF-8 was spin coated onto the substrate. The porous nature of ZIF-8 exhibited a pre-concentration effect, enriching analytes within the hot spots. The combination of them improved the performance of the substrate effectively. The measurement results showed that this SERS substrate has an enhancement factor of up to 3.965 × 10<sup>7</sup> and a detection limit for 4-ATP as low as 10<sup>−15</sup> M. To demonstrate its practical application, the substrate was applied to the detection of malachite green (MG), a toxic aquaculture pharmaceutical agent, in laboratory-prepared fish skin samples contaminated with it. The substrate enabled the clear identification of MG at concentrations as low as 0.1 ppm, a level relevant to environmental monitoring and food safety. The prepared substrate has great potential for rapid practical SERS technologies.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116836"},"PeriodicalIF":4.1,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guoqiang Yu , Jiaming Li , Qiang Qin , Beichen Xue , Zheng Ni , Shengbao Bai , Wenbing Ma , Yuanhui He , Siyuan Han , Zhanpeng Shi , Lulu Chang , Xiguang Gao , Yingdong Song
{"title":"Thermoresistance effect and model of SiCf/PyC/SiC composites in a constituent scale","authors":"Guoqiang Yu , Jiaming Li , Qiang Qin , Beichen Xue , Zheng Ni , Shengbao Bai , Wenbing Ma , Yuanhui He , Siyuan Han , Zhanpeng Shi , Lulu Chang , Xiguang Gao , Yingdong Song","doi":"10.1016/j.sna.2025.116809","DOIUrl":"10.1016/j.sna.2025.116809","url":null,"abstract":"<div><div>Electrical resistance monitoring provides a fundamental methodology for real-time structural health evaluation of ceramic matrix composites (CMCs) due to its inherent self-sensing characteristics. This study addresses the critical knowledge gap in thermal resistance behavior at constituent-level resolution, developed a precision methodology to fabricate single-constituent micro-specimens with geometrically controlled interfaces, enabling isolation of individual thermal resistance contributions. An advanced experimental system achieved synchronized resistance measurement under 300–1473 K anoxic conditions. The findings indicate that three constituents exhibit varying degrees of thermal resistance effects, the prediction errors of the established constituent thermal resistance effect models are all less than 8 %, thereby enabling real-time prediction of the microscale composite’s temperature-resistance response. This static temperature resistance measurement scheme and the temperature resistance characteristics can provide accurate parameters for subsequent multi-physics field sensing schemes.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116809"},"PeriodicalIF":4.1,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Resistive switching dynamics in MoSe2-ZnO nanoheterostructures for energy-efficient neuromorphic application","authors":"Rashmi Roy Karmakar , Harsh Ranjan , Vivek Pratap Singh , Somdatta Singh , Saurabh Kumar Pandey , Jyoti Jaiswal , Sanjeev Kumar","doi":"10.1016/j.sna.2025.116835","DOIUrl":"10.1016/j.sna.2025.116835","url":null,"abstract":"<div><div>An artificial synapse is integral to neuromorphic computing, a field poised to overcome the limitations of the traditional von Neumann architecture. Memristors, with their tunable, non-volatile resistive switching (RS) states, hold significant promise for acting as artificial synapses, facilitating both data storage and processing within the same physical unit. In this study, we report on memristive devices based on a hydrothermally synthesized MoSe<sub>2</sub>-ZnO nanoheterostructure, integrated between upper Ni/Ag and lower FTO electrodes, with a comprehensive investigation into their RS characteristics, synaptic functionalities, and potential for neuromorphic computing applications. The structural, compositional, and electronic properties of the MoSe<sub>2</sub>-ZnO nanoheterostructure were probed using XRD, Raman spectroscopy, FESEM, HRTEM, EDS, and XPS analyses. The fabricated Ag/MoSe<sub>2</sub>-ZnO/FTO memristor exhibited reliable analog resistive switching (ARS) behavior over a low operational voltage range (-1 V to +1 V). The device successfully emulated key synaptic functions, including potentiation and depression, under microsecond pulse stimuli (1 µs) at multiple read voltages (0.2–0.6 V), closely replicating biological synaptic plasticity. Additionally, assessments of endurance, data retention, device-to-device (D2D), and cycle-to-cycle (C2C) reliability confirmed consistent analog switching behavior and stable operational performance. A mechanistic analysis revealed a hybrid resistive switching mechanism, involving both Ag⁺-based conductive filament formation/dissolution and charge trapping/detrapping within the MoSe<sub>2</sub>-ZnO matrix. This dual-mode conduction was supported by double-logarithmic I–V analysis and energy band diagram illustrations, clarifying the role of interface dynamics and barrier modulation under bias.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116835"},"PeriodicalIF":4.1,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junfeng Ge , Longteng Li , Yabo Zhang , Kang Gui , Lin Ye
{"title":"Ice type identification during dynamic icing process based on ultrasonic pulse echo technique","authors":"Junfeng Ge , Longteng Li , Yabo Zhang , Kang Gui , Lin Ye","doi":"10.1016/j.sna.2025.116817","DOIUrl":"10.1016/j.sna.2025.116817","url":null,"abstract":"<div><div>In order to improve the accuracy of ultrasonic pulse echo technology for ice type identification, a real-time ice-measurement method based on Dynamic Wavelet Fingerprint (DWFP) and machine learning is proposed. Through theoretical analysis, the influence of factors such as porosity and pore equivalent diameters on the echo peak and other features is revealed. From the echo signals of 722 icing cases, the time-frequency features of multiple ice-type echoes are extracted based on DWFP and principal component analysis (PCA). By training the machine learning model, the Gradient Boosting Decision Tree classifier with an accuracy of 93.1 % for ice type recognition is obtained. For the echo overlapping situation in the experiment, combined with the echo separation model based on a convolutional neural network, the ice type recognition during the full cycle of the icing dynamic process is finally realized with an accuracy of 87.8 %.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116817"},"PeriodicalIF":4.1,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siyuan Wang , Qinghua Li , Xingyu Wen , Ziying Ren , Boxu Zhou , Ying Cao , Yan Shi
{"title":"Traceability of wolfberry origin: A lightweight step-by-step fusion network combining an electronic nose and a hyperspectral system","authors":"Siyuan Wang , Qinghua Li , Xingyu Wen , Ziying Ren , Boxu Zhou , Ying Cao , Yan Shi","doi":"10.1016/j.sna.2025.116832","DOIUrl":"10.1016/j.sna.2025.116832","url":null,"abstract":"<div><div>A multi-sensor system enables the acquisition of comprehensive and diverse sample information from multiple perspectives, allowing different sensing modalities to complement each other and enhance recognition accuracy. However, the integration of multi-source data also introduces a degree of information redundancy, which necessitates the adoption of effective data processing and fusion strategies. To address this issue, we propose a lightweight step-by-step fusion network(AxisFormer), based on a non-destructive detection platform that integrates an electronic nose and a hyperspectral imaging system, for the classification of wolfberries from six different origins. Gas and spectral data are obtained through the electronic nose and hyperspectral system, respectively, with features extracted and fused using a Lightweight Dual-Path Feature Processing Block (LDPB). Multi-Modal Factorized Bilinear Pooling (MFB) then integrates these features for comprehensive analysis. Compared with other traditional classic models and state-of-the-art models, AxisFormer achieves exceptional classification performance, with 99.07 % accuracy, 98.60 % recall, and 98.71 % precision, using a small number of calculations and parameters. This research not only enables effective origin traceability of wolfberries but also provides an efficient and scientific solution for wolfberry quality detection.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116832"},"PeriodicalIF":4.1,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hang Yang , Yuying Li , Yuanbo Yue , Xiaoxi He , Mu-Shui Zhang , Yan Liang , Yupan Wu , Zixin Wang
{"title":"A novel microfluidic detection system based on digital lock-in amplifier with high bandwidth and low phase float","authors":"Hang Yang , Yuying Li , Yuanbo Yue , Xiaoxi He , Mu-Shui Zhang , Yan Liang , Yupan Wu , Zixin Wang","doi":"10.1016/j.sna.2025.116825","DOIUrl":"10.1016/j.sna.2025.116825","url":null,"abstract":"<div><div>This paper presents a novel microfluidic detection system based on lock-in amplifier, improving the traditional signal processing scheme for RLC resonant structures. This paper introduces an innovative method for high-precision detection and analysis of weak current signal phase information. Besides, this paper successfully developed a self-designed digital lock-in amplifier with a bandwidth of 300 MHz and a sampling rate of 1 GHz. This system enables highly sensitive differentiation and precise detection of Polystyrene (Ps) microspheres and yeast cells in microfluidics. The speed of the particles is approximately 400–1000 µm/s. The measured phase signal for Ps microspheres had an average value of 0.0178219°and a high SNR of 32.98 dB, while for yeast cells, the average phase signal was −0.0115°and a high SNR of 29.17 dB. The measurement accuracy of this system shows an improvement of approximately 23 % compared to existing advanced equipment.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116825"},"PeriodicalIF":4.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MOS based gas sensor in detection of volatile organic compounds: A review","authors":"Chenwei Zhang , Lijun Qian , Wen Zeng","doi":"10.1016/j.sna.2025.116818","DOIUrl":"10.1016/j.sna.2025.116818","url":null,"abstract":"<div><div>Volatile organic compounds (VOCs), as toxic, carcinogenic, and persistent environmental pollutants, chronically contaminate enclosed spaces like indoors and vehicle cabins. Efficient detection is crucial for improving air quality and safeguarding human health. Metal oxide semiconductor (MOS) gas sensors have emerged as the preferred materials to address current detection challenges due to their high sensitivity, low preparation cost and potential for miniaturization. This review systematically examines the sensing mechanisms of MOS materials and recent progress in MOS-based sensors for detecting formaldehyde, acetone, and other common VOCs. Based on the analysis of over a hundred research studies, it has been found that MOS materials suffer from issues such as high operating temperatures, poor selectivity, insufficient long-term stability, and susceptibility to humidity, and we explore how modification strategies such as micromorphology regulation, structural modification, and composite material construction of heterojunctions enhance the sensitivity, selectivity, and operational temperature of MOS sensors. However, challenges persist in achieving synergistic optimization of multiple parameters, hindering practical applications. This review aims to summarize current research methodologies for various MOS materials used in VOC detection, providing design principles and performance benchmarks for developing high-efficiency VOC sensors.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116818"},"PeriodicalIF":4.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kaibo Lei , Haiwang Li , Xiaofeng Ding , Xiaojie Chou , Panwei Li , Tiantong Xu
{"title":"Design, development, and testing of a radial-flux permanent magnet micromotor based on 3D solenoid MEMS in-chip coils","authors":"Kaibo Lei , Haiwang Li , Xiaofeng Ding , Xiaojie Chou , Panwei Li , Tiantong Xu","doi":"10.1016/j.sna.2025.116822","DOIUrl":"10.1016/j.sna.2025.116822","url":null,"abstract":"<div><div>Rotary micromotors are widely used in micro rotating actuators, such as microscale aerial vehicles, scanners, and chip cooling fans. Owing to the high power density, electromagnetic rotary micromotors fabricated using micro electro-mechanical systems (MEMS) have significant application potential. This paper presents the design and development of a millimeter-scale permanent magnet (PM) electromagnetic rotary micromotor based on three-dimensional (3D) iron-core solenoid micro coils, which are fabricated using MEMS processes. A method of power supply connection for the stator is proposed to facilitate the assembly, and the micromotor rotates successfully with the control strategy. The micromotor achieved a rotational speed of 6745 rpm with a speed fluctuation about ± 5 rpm. Test results show a maximum torque of approximately 250 μN·m at 1 A, and a peak-to-peak back electromotive force (EMF) of 90 mV at a constant speed of 3120 rpm. To measure the output power and the maximum torque at various speeds, a method of tiny torques providing and load measuring for micromotors was proposed and validated. With 470 mA current applied, the torque ranges from 20 μN·m to 110 μN·m, and the maximum output power is 30 ± 2 mW.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116822"},"PeriodicalIF":4.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yang Lu, Ruili Tang, Shengyao Dou, Yuhao Cai, Xingyu Ma, Da Chen, Yijian Liu
{"title":"Machine learning coupled RF LC pressure sensing array based on vertical integration structure","authors":"Yang Lu, Ruili Tang, Shengyao Dou, Yuhao Cai, Xingyu Ma, Da Chen, Yijian Liu","doi":"10.1016/j.sna.2025.116824","DOIUrl":"10.1016/j.sna.2025.116824","url":null,"abstract":"<div><div>RF LC (Radio Frequency Inductance Capacitance) sensors are one of the most promising solutions for flexible, wireless, and passive devices, especially in applications such as electronic skin, human health monitoring, and implantable scenes where complex wiring is not feasible. However, the high-density integration of RF LC sensor in limited area is a significant challenge due to the complex structure and large multi-turn coils in the sensor, which restricts application in implantable and integrated scenarios. In order to enhance the sensitive area and to meet the urgent need for integration in small scale, in this study, we designed a vertically integrated high-sensitivity RF LC pressure sensing array. This array comprises four sensor units, with single-sensor unit area of only 14 mm*14 mm, capable of detecting pressures ranging from 2.5 Pa to 2200kPa, with a maximum sensitivity of 13.875 MHz/kPa. By conveniently changing the turns of the inductance to achieve initial frequency separation in the sensor units. Machine learning methods were introduced to overcome the issues of overlapping resonant peaks and peak disappearance in the S11 spectrum, achieved tactile sensing at nine positions.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"393 ","pages":"Article 116824"},"PeriodicalIF":4.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}