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A composite thin-film strain gauge with a near-zero temperature coefficient of resistance and a highly linear response to strain 一种复合薄膜应变计,具有接近零的电阻温度系数和对应变的高度线性响应
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.sna.2026.117519
Mengqiu Li , Yahui Li , Guifu Ding , Zhuoqing Yang
Strain gauges serve as fundamental sensors for structural deformation monitoring, yet their conventional counterparts exhibit pronounced temperature effect, compromising measurement accuracy and stability under thermal fluctuations. Based on micro-electromechanical systems (MEMS) fabrication technology, this study systematically investigates the evolution of micro-morphology and surface roughness of sputtered thin films. The core focus lies in elucidating the internal electron scattering mechanisms and their intrinsic correlation with the Temperature Coefficient of Resistance (TCR). Specifically, we analyze how static scattering interacts with and compensates for the temperature-dependent lattice vibration scattering during the heating process. Guided by these physical insights, a composite thin-film strain gauge was fabricated via co-sputtering to validate the proposed scattering regulation strategy. The device demonstrates a near-zero TCR of −2.5 ppm/°C, a gauge factor of 1.9, and a highly linear response to strain (R2 ≈ 99.8 %) alongside remarkable cyclic stability. This work provides a fundamental physical insight into scattering engineering for designing precise strain sensors in thermally dynamic environments.
应变片是结构变形监测的基本传感器,但传统的应变片具有明显的温度效应,在热波动下影响测量精度和稳定性。本研究基于微机电系统(MEMS)制备技术,系统地研究了溅射薄膜的微观形貌和表面粗糙度的演变。核心重点在于阐明内部电子散射机制及其与电阻温度系数(TCR)的内在相关性。具体来说,我们分析了在加热过程中,静态散射如何与温度相关的晶格振动散射相互作用和补偿。在这些物理见解的指导下,通过共溅射制备了复合薄膜应变片,以验证所提出的散射调节策略。该装置的TCR接近于零,为- 2.5 ppm/°C,测量因子为1.9,对应变具有高度线性响应(R2≈99.8 %),并具有显著的循环稳定性。这项工作为在热动态环境中设计精确的应变传感器提供了散射工程的基本物理见解。
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引用次数: 0
Tri-cation doped Ni0.1Cu0.1Mn0.8Fe2O4 nanoparticles for ultra-sensitive, fast-response magnetoresistive sensors in weak magnetic fields 三阳离子掺杂Ni0.1Cu0.1Mn0.8Fe2O4纳米粒子用于弱磁场中超灵敏、快速响应的磁阻传感器
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-02-03 DOI: 10.1016/j.sna.2026.117466
Reza Gholipur
Ni0.1Cu0.1Mn0.8Fe2O4 nanoparticles were synthesized hydrothermally at 140–220 °C to optimize low-field magnetoresistive sensor performance (<100 Oe). Temperature variation tuned crystallite size, magnetic anisotropy, and exchange length, with the NC3 sample (180 °C) showing optimal single-domain characteristics. Two-probe sensors fabricated from NC3 delivered MR% = 8.7 % at 100 Oe, attributed to synergistic Ni2 + /Cu2+ doping that enhances Fe3+-O-Mn2+ double-exchange coupling. Dynamic tests yielded an ultrafast response time of 12 ms through coherent magnetization rotation and 92.0 % MR% retention after 100 thermal cycles (25–85 °C). These properties make NC3 promising for low-power, real-time IoT magnet detection. The synthesis-to-device approach identifies 180 °C as the optimal temperature, linking materials optimization to sensor functionality for next-generation MRAM platforms.
为了优化低场磁阻传感器的性能(<100 Oe),我们在140-220℃下水热合成了Ni0.1Cu0.1Mn0.8Fe2O4纳米颗粒。温度变化可调节晶体尺寸、磁各向异性和交换长度,其中NC3样品(180°C)表现出最佳的单畴特性。由NC3制成的双探针传感器在100 Oe下的MR% = 8.7 %,归因于协同Ni2 + /Cu2+掺杂增强了Fe3+-O-Mn2+双交换耦合。动态测试表明,通过相干磁化旋转获得的超快响应时间为12 ms,在100个热循环(25-85°C)后保持92.0 % MR%。这些特性使NC3有望用于低功耗、实时物联网磁铁检测。合成到器件的方法将180°C确定为最佳温度,将材料优化与下一代MRAM平台的传感器功能联系起来。
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引用次数: 0
A sensitive double-clamped quartz tuning fork (QTF) pressure sensor with temperature compensation for liquid level sensing at elevated temperatures 一种灵敏的双夹紧石英音叉(QTF)压力传感器,具有温度补偿,用于高温下的液位传感
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-17 DOI: 10.1016/j.sna.2026.117511
Shuai Ju , Sreejith V. Sreedharan , Mitali H. Desai , Haifeng Zhang
Accurate measurement and active monitoring of liquid levels are indispensable components of effective process control, essential for both adhering to environmental regulations and achieving operational efficiency. The quartz tuning fork (QTF) is a popular bulk acoustic wave (BAW) piezoelectric resonator with advanced piezoelectric properties, a high quality factor, and low mechanical loss, which enables precise liquid-level monitoring. An improved mechanism based on a prior design incorporating a temperature-compensation method is proposed in this study, utilizing two double-ended QTFs. Both ends of the first QTF are clamped to two aluminum columns attached to a 0.2 mm thick circular stainless-steel diaphragm, subjecting both level-induced deformation and temperature effects, whereas a second QTF, with its one end fixed on one of the aluminum columns, only experiences temperature effects. The frequency shift of the deformed QTF due to a change in liquid level was measured using a vector network analyzer (VNA). The resonant frequency of QTF was confirmed with a COMSOL simulation. Elevated-temperature water level measurements were conducted at temperatures ranging from 23°C to 83°C in 20°C increments, with water levels varying from 5 mm to 25 mm in 5 mm steps. The results show that the proposed QTF level sensor design demonstrates strong linearity, consistent repeatability, and high sensitivity. We have also tested the performance of QTF itself up to 525°C, and the sensor performed well in that temperature range. This design can be enhanced to create a real-time, wireless, high-temperature liquid level sensor capable of operating at extreme temperatures of up to 500 °C.
准确测量和主动监测液位是有效过程控制不可或缺的组成部分,对于遵守环境法规和实现操作效率至关重要。石英音叉(QTF)是一种流行的体声波(BAW)压电谐振器,具有先进的压电特性、高质量因子和低机械损耗,可实现精确的液位监测。本研究提出了一种基于先前设计的改进机制,该机制采用了温度补偿方法,利用两个双端qtf。第一个QTF的两端夹在两个铝柱上,铝柱连接着0.2 毫米厚的圆形不锈钢膜片,受到水平引起的变形和温度影响,而第二个QTF的一端固定在一个铝柱上,只受到温度影响。利用矢量网络分析仪(VNA)测量了由于液位变化而变形的QTF的频移。通过COMSOL仿真验证了QTF的谐振频率。高温水位测量在温度范围为23°C至83°C,以20°C的增量进行,水位在5 mm的步骤中从5 mm到25 mm变化。结果表明,所设计的QTF液位计具有较强的线性度、一致的重复性和较高的灵敏度。我们还测试了QTF本身高达525°C的性能,传感器在该温度范围内表现良好。这种设计可以增强为实时、无线、高温液位传感器,能够在高达500°C的极端温度下工作。
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引用次数: 0
1,10-phenanthroline-modified silver-coated D-shaped optical fiber SPR sensor for selective and rapid detection of Fe²⁺ ions in corrosion environments 1,10-菲罗啉修饰的镀银d型光纤SPR传感器,用于腐蚀环境中选择性、快速检测Fe 2 +离子
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-15 DOI: 10.1016/j.sna.2026.117491
Yaning Wang , Dong Luo , Zhongxiao Song , Xiaodong Zhu , Zhixin Guo , Ziming Xu
In this study, a surface plasmon resonance(SPR) sensor based on a phenanthroline self-assembled layer–modified silver-coated D-shaped plastic optical fiber (POF) was developed for the selective and real-time detection of Fe²⁺ ions in corrosive environments. The sensor structure was modeled and analyzed using COMSOL Multiphysics, with finite element simulations of the optical field to optimize the parameters of the fiber core, cladding, and metal film layers. The effective refractive index and near-field distribution of the plasmonic modes were systematically investigated.Simulation results indicated that when the silver film thickness was 40 nm and the phenanthroline molecular layer thickness was approximately 7 nm, the localized electric field confinement at the metal–dielectric interface was significantly enhanced, thereby improving resonance stability and sensitivity.Experimental results showed that the sensor exhibited a strong linear response toward Fe²⁺ within the concentration range of 120 pg·mL⁻¹ –1.2 μg·mL⁻¹ , with a resonance wavelength sensitivity of 3.832 nm·log(pg·mL⁻¹)⁻¹ and a corresponding refractive index sensitivity of 6669 nm·RIU⁻¹ . The limit of detection (LOD) reached 1.6 pg·mL⁻¹ , and the response time was approximately 10 s.The sensor showed excellent selectivity toward Fe²⁺ ions, with a pronounced spectral response compared to other commonly coexisting metal ions, such as Cu²⁺, Zn²⁺, Ni²⁺, Hg²⁺, Ca²⁺, and Mg²⁺.By combining multilayer structural synergy with chelation-based interfacial recognition, the proposed phenanthroline-modified D-shaped fiber SPR sensor exhibits high sensitivity, rapid response, and outstanding selectivity, highlighting its applicability for early-stage corrosion monitoring of underground and subsea metallic pipelines.
在本研究中,基于菲罗啉自组装层修饰镀银d型塑料光纤(POF)开发了一种表面等离子体共振(SPR)传感器,用于在腐蚀环境中选择性和实时检测Fe 2 +离子。利用COMSOL Multiphysics对传感器结构进行了建模和分析,并对光场进行了有限元模拟,优化了光纤芯、包层和金属膜层的参数。系统地研究了等离子体模的有效折射率和近场分布。仿真结果表明,当银膜厚度为40 nm,邻菲罗啉分子层厚度约为7 nm时,金属-介电界面的局域电场约束明显增强,从而提高了谐振稳定性和灵敏度。实验结果表明,该传感器对Fe 2⁺在120 pg·mL⁻¹ -1.2 μg·mL⁻¹ 的浓度范围内表现出较好的线性响应,共振波长灵敏度为3.832 nm·log(pg·mL⁻¹)⁻¹ ,对应的折射率灵敏度为6669 nm·RIU⁻¹ 。检测限(LOD)为1.6 pg·mL⁻¹ ,反应时间约为10 s。该传感器对Fe 2 +离子表现出优异的选择性,与其他常见的共存金属离子(如Cu 2 +、Zn 2 +、Ni 2 +、Hg 2 +、Ca 2 +和Mg 2 +)相比,具有明显的光谱响应。通过将多层结构协同作用与螯合界面识别相结合,提出的邻菲罗啉修饰的d型光纤SPR传感器具有高灵敏度、快速响应和出色的选择性,突出了其在地下和海底金属管道早期腐蚀监测中的适用性。
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引用次数: 0
Artificial intelligence-enabled MOS gas sensors: Towards Selective and intelligent detection in complex environments 支持人工智能的MOS气体传感器:在复杂环境中实现选择性和智能检测
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-15 DOI: 10.1016/j.sna.2026.117502
Gen Li , Sunghoon Park , Hyojung Kim , Muhammad Hilal , Zhicheng Cai
Metal oxide semiconductor (MOS) gas sensors are widely studied for their low cost, simple fabrication, and high sensitivity to a broad range of analytes. Despite decades of progress, their broader deployment remains constrained by poor selectivity, environmental variability, signal drift, and poor inter device reproducibility. Artificial intelligence (AI) has recently emerged as a promising strategy to overcome these limitations by extracting meaningful information from complex sensor responses and enabling predictive and adaptive behavior. This review highlights the convergence of MOS gas sensing with AI. We first revisit the fundamental operating principles of MOS sensors and explain why conventional approaches often underperform in real world settings. We then summarize key AI methods, including classical machine learning, deep learning, and more recent technologies, while analyzing their respective strengths and limitations for gas sensing tasks. Particular emphasis is placed on integration strategies such as single sensor enhancement, sensor array fusion, drift correction, AI guided materials and device design, and lightweight on device deployment. We further examine application domains where AI-enhanced MOS sensors demonstrate clear advantages, including environmental monitoring, healthcare diagnostics, food safety, industrial safety, and Internet of Things (IoT) systems. Finally, we discuss ongoing challenges related to data scarcity, model generalization, interpretability, and scalability, and we outline future directions for developing intelligent, reliable, and large-scale MOS sensing ecosystems.
金属氧化物半导体(MOS)气体传感器因其成本低、制造简单、对各种分析物的高灵敏度而受到广泛的研究。尽管几十年来取得了进展,但它们的广泛部署仍然受到选择性差、环境可变性、信号漂移和设备间可重复性差的限制。通过从复杂的传感器响应中提取有意义的信息,并实现预测和自适应行为,人工智能(AI)最近成为克服这些限制的一种有前途的策略。本文综述了MOS气体传感与人工智能的融合。我们首先回顾了MOS传感器的基本工作原理,并解释了为什么传统方法在现实世界中往往表现不佳。然后,我们总结了关键的人工智能方法,包括经典机器学习、深度学习和最新技术,同时分析了它们各自在气体传感任务中的优势和局限性。特别强调的是集成策略,如单传感器增强、传感器阵列融合、漂移校正、人工智能引导材料和设备设计,以及设备部署的轻量化。我们进一步研究了人工智能增强的MOS传感器显示出明显优势的应用领域,包括环境监测、医疗诊断、食品安全、工业安全和物联网(IoT)系统。最后,我们讨论了与数据稀缺性、模型泛化、可解释性和可扩展性相关的持续挑战,并概述了开发智能、可靠和大规模MOS传感生态系统的未来方向。
{"title":"Artificial intelligence-enabled MOS gas sensors: Towards Selective and intelligent detection in complex environments","authors":"Gen Li ,&nbsp;Sunghoon Park ,&nbsp;Hyojung Kim ,&nbsp;Muhammad Hilal ,&nbsp;Zhicheng Cai","doi":"10.1016/j.sna.2026.117502","DOIUrl":"10.1016/j.sna.2026.117502","url":null,"abstract":"<div><div>Metal oxide semiconductor (MOS) gas sensors are widely studied for their low cost, simple fabrication, and high sensitivity to a broad range of analytes. Despite decades of progress, their broader deployment remains constrained by poor selectivity, environmental variability, signal drift, and poor inter device reproducibility. Artificial intelligence (AI) has recently emerged as a promising strategy to overcome these limitations by extracting meaningful information from complex sensor responses and enabling predictive and adaptive behavior. This review highlights the convergence of MOS gas sensing with AI. We first revisit the fundamental operating principles of MOS sensors and explain why conventional approaches often underperform in real world settings. We then summarize key AI methods, including classical machine learning, deep learning, and more recent technologies, while analyzing their respective strengths and limitations for gas sensing tasks. Particular emphasis is placed on integration strategies such as single sensor enhancement, sensor array fusion, drift correction, AI guided materials and device design, and lightweight on device deployment. We further examine application domains where AI-enhanced MOS sensors demonstrate clear advantages, including environmental monitoring, healthcare diagnostics, food safety, industrial safety, and Internet of Things (IoT) systems. Finally, we discuss ongoing challenges related to data scarcity, model generalization, interpretability, and scalability, and we outline future directions for developing intelligent, reliable, and large-scale MOS sensing ecosystems.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117502"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145969157","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}
引用次数: 0
Ultra high responsivity bridge uncooled infrared microbolometers based on Mn-Co-Ni-O thin-film 基于Mn-Co-Ni-O薄膜的超高响应率桥式非冷却红外微辐射热计
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-30 DOI: 10.1016/j.sna.2026.117543
Yan Zhao , Zirui Yang , Chengchen Gao , Zhenchuan Yang
Mn-Co-Ni-O (MCNO) thin films are essential for uncooled infrared microbolometers owing to their high thermal sensitivity, yet conventional MCNO architectures are limited by performance and fabrication challenges. This work presents a novel suspended bridge microbolometer design with cantilever anchors optimized for MCNO integration, incorporating a post-annealing step after polyimide release to ensure compatibility with organic sacrificial layer removal. Additionally, an electrode and beam synchronous patterning process enables narrower bridge beams with thermal conductivity of ∼10−6 W/K for improved responsivity. These advances allow the MCNO film to achieve high normalized voltage responsivity (4.13 ×104 V/W), low resistivity (5.78 Ω·cm), strong thermal stability, and a broad dynamic range, representing an 813-fold enhancement over conventional MCNO devices. Furthermore, the microbolometer demonstrates effective 1/f noise suppression (normalized noise factor ∼10⁻²⁸ cm³) and a 43-fold reduction in thermal noise, positioning MCNO as a leading material for large focal plane arrays.
Mn-Co-Ni-O (MCNO)薄膜由于其高热灵敏度对于非制冷红外微辐射热计至关重要,但传统的MCNO结构受到性能和制造挑战的限制。本研究提出了一种新型悬索桥微辐射热计设计,该设计采用针对MCNO集成优化的悬臂锚,在聚酰亚胺释放后采用后退火步骤,以确保有机牺牲层去除的兼容性。此外,电极和光束同步图像化工艺可以实现更窄的桥梁,其导热系数为~ 10−6 W/K,从而提高响应性。这些进步使MCNO薄膜具有高归一化电压响应率(4.13 ×104 V/W),低电阻率(5.78 Ω·cm),强热稳定性和宽动态范围,比传统MCNO器件提高了813倍。此外,微辐射热计显示出有效的1/f噪声抑制(归一化噪声因子~ 10⁻²⁸cm³)和43倍的热噪声降低,使MCNO成为大型焦平面阵列的主要材料。
{"title":"Ultra high responsivity bridge uncooled infrared microbolometers based on Mn-Co-Ni-O thin-film","authors":"Yan Zhao ,&nbsp;Zirui Yang ,&nbsp;Chengchen Gao ,&nbsp;Zhenchuan Yang","doi":"10.1016/j.sna.2026.117543","DOIUrl":"10.1016/j.sna.2026.117543","url":null,"abstract":"<div><div>Mn-Co-Ni-O (MCNO) thin films are essential for uncooled infrared microbolometers owing to their high thermal sensitivity, yet conventional MCNO architectures are limited by performance and fabrication challenges. This work presents a novel suspended bridge microbolometer design with cantilever anchors optimized for MCNO integration, incorporating a post-annealing step after polyimide release to ensure compatibility with organic sacrificial layer removal. Additionally, an electrode and beam synchronous patterning process enables narrower bridge beams with thermal conductivity of ∼10<sup>−6</sup> W/K for improved responsivity. These advances allow the MCNO film to achieve high normalized voltage responsivity (4.13 ×10<sup>4</sup> V/W), low resistivity (5.78 Ω·cm), strong thermal stability, and a broad dynamic range, representing an 813-fold enhancement over conventional MCNO devices. Furthermore, the microbolometer demonstrates effective 1/f noise suppression (normalized noise factor ∼10⁻²⁸ cm³) and a 43-fold reduction in thermal noise, positioning MCNO as a leading material for large focal plane arrays.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117543"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079871","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}
引用次数: 0
A composite control approach and its simplified form for piezoelectric ceramic-driven fast steering mirrors: From model-based to model-free 压电陶瓷驱动快速转向镜的复合控制方法及其简化形式:从基于模型到无模型
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-02-06 DOI: 10.1016/j.sna.2026.117550
Guanglu Hao, Kairui Cao, Zekun Li, Hairui Du, Liying Tan
The fast steering mirror (FSM), as a typical piezoelectric ceramic-driven system, is a key component of the fine tracking system in satellite optical communications, enabling precise and stable tracking control of the laser beam. In practice, the dynamic hysteresis characteristics of the FSM reduce its positioning accuracy, which limits the performance of the fine tracking system. In this paper, an RH model is defined as a combination of the rate-dependent hysteresis model and the Hammerstein model. The objective is to use the rate-dependent hysteresis model to depict the low and medium frequency nonlinear dynamics of FSM, and the transfer function to characterize the high frequency linear dynamics. Based on the RH model, a compound control method (RHCM) is presented to achieve better control performance for FSM. Furthermore, the RHCM is simplified to a PD-PI method that consists of a proportional plus differential element in the feedforward and a proportional plus integral element in the feedback with adjustable parameters. This approach does not require obtaining the model of the hysteresis system and is a model-free control method. Finally, comparative experiments demonstrate the effectiveness of the proposed control method.
快速转向镜作为一种典型的压电陶瓷驱动系统,是卫星光通信精细跟踪系统的关键部件,能够实现对激光束的精确、稳定的跟踪控制。在实际应用中,FSM的动态滞后特性降低了其定位精度,限制了精细跟踪系统的性能。本文将RH模型定义为速率相关滞后模型和Hammerstein模型的结合。目的是用速率相关的滞后模型来描述FSM的低、中频非线性动力学,用传递函数来描述FSM的高频线性动力学。在RH模型的基础上,提出了一种复合控制方法(RHCM),以提高FSM的控制性能。在此基础上,将RHCM简化为一种PD-PI方法,该方法由前馈中的比例加微分单元和反馈中的比例加积分单元组成,参数可调。该方法不需要获取滞回系统的模型,是一种无模型控制方法。最后,通过对比实验验证了所提控制方法的有效性。
{"title":"A composite control approach and its simplified form for piezoelectric ceramic-driven fast steering mirrors: From model-based to model-free","authors":"Guanglu Hao,&nbsp;Kairui Cao,&nbsp;Zekun Li,&nbsp;Hairui Du,&nbsp;Liying Tan","doi":"10.1016/j.sna.2026.117550","DOIUrl":"10.1016/j.sna.2026.117550","url":null,"abstract":"<div><div>The fast steering mirror (FSM), as a typical piezoelectric ceramic-driven system, is a key component of the fine tracking system in satellite optical communications, enabling precise and stable tracking control of the laser beam. In practice, the dynamic hysteresis characteristics of the FSM reduce its positioning accuracy, which limits the performance of the fine tracking system. In this paper, an RH model is defined as a combination of the rate-dependent hysteresis model and the Hammerstein model. The objective is to use the rate-dependent hysteresis model to depict the low and medium frequency nonlinear dynamics of FSM, and the transfer function to characterize the high frequency linear dynamics. Based on the RH model, a compound control method (RHCM) is presented to achieve better control performance for FSM. Furthermore, the RHCM is simplified to a PD-PI method that consists of a proportional plus differential element in the feedforward and a proportional plus integral element in the feedback with adjustable parameters. This approach does not require obtaining the model of the hysteresis system and is a model-free control method. Finally, comparative experiments demonstrate the effectiveness of the proposed control method.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117550"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170720","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}
引用次数: 0
Wearable sensors for real-time microclimate monitoring in plants 用于植物微气候实时监测的可穿戴传感器
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-15 DOI: 10.1016/j.sna.2026.117498
Vandana Ramakrishnan, Lekshmi Vijayan
The emerging interest in precision farming among scientific communities is rapidly evolving due to increasing food demand and abating climatic conditions. Alleviating plant stress to ensure crop health is a major concern among farmers. Plant stress, typically abiotic stress, is known to cause major losses in agriculture worldwide. This paper reviews the wearable sensors designed for ambient monitoring of abiotic stress responses generated in plants. Various stress types encountered in plants along with their classification, the parameters taken into consideration for microclimate monitoring, and their physiological effects have been discussed. Different types of wearable plant sensors for detecting parameters such as temperature, humidity, light, nutrients, phytohormones, volatile organic compounds, glucose, and strain are considered here. The wearable sensors designed for each parameter, the materials utilized, and sensor metrics have been provided. Sensor responses when subjected to real-time monitoring in fields have also been considered. The challenges faced and future research possibilities are also identified.
由于粮食需求的增加和气候条件的恶化,科学界对精准农业的兴趣正在迅速发展。减轻植物压力以确保作物健康是农民关注的主要问题。众所周知,植物胁迫,特别是非生物胁迫,在世界范围内造成重大农业损失。本文综述了用于植物非生物胁迫响应环境监测的可穿戴传感器。本文讨论了植物所遇到的各种胁迫类型及其分类、微气候监测中应考虑的参数及其生理效应。不同类型的可穿戴植物传感器用于检测参数,如温度,湿度,光,营养物质,植物激素,挥发性有机化合物,葡萄糖和菌株在这里被考虑。给出了针对每个参数设计的可穿戴传感器、所使用的材料和传感器指标。还考虑了传感器在现场实时监测时的响应。还确定了面临的挑战和未来研究的可能性。
{"title":"Wearable sensors for real-time microclimate monitoring in plants","authors":"Vandana Ramakrishnan,&nbsp;Lekshmi Vijayan","doi":"10.1016/j.sna.2026.117498","DOIUrl":"10.1016/j.sna.2026.117498","url":null,"abstract":"<div><div>The emerging interest in precision farming among scientific communities is rapidly evolving due to increasing food demand and abating climatic conditions. Alleviating plant stress to ensure crop health is a major concern among farmers. Plant stress, typically abiotic stress, is known to cause major losses in agriculture worldwide. This paper reviews the wearable sensors designed for ambient monitoring of abiotic stress responses generated in plants. Various stress types encountered in plants along with their classification, the parameters taken into consideration for microclimate monitoring, and their physiological effects have been discussed. Different types of wearable plant sensors for detecting parameters such as temperature, humidity, light, nutrients, phytohormones, volatile organic compounds, glucose, and strain are considered here. The wearable sensors designed for each parameter, the materials utilized, and sensor metrics have been provided. Sensor responses when subjected to real-time monitoring in fields have also been considered. The challenges faced and future research possibilities are also identified.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117498"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025221","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}
引用次数: 0
Multi-modal dual-functional integrated microwave-microfluidic sensor with both resonant and capacitive characteristics for cancer cell detection 具有谐振和电容特性的多模态双功能集成微波微流控传感器用于癌细胞检测
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-15 DOI: 10.1016/j.sna.2026.117494
Tian Qiang , Wen-Yi Zhu , Yan-Xiong Wang , Wen Jiang , Jun-Shuai Wu , Yan-Feng Jiang , Qi-Gao Fan , Xiaoman Zhou
In this study, a multi-modal dual-functional microwave-microfluidic biosensing system integrating an interdigital resonant and capacitive sensor with a microfluidic chip was constructed, aiming at simultaneous label-free sorting and concentration detection of circulating tumor cells (CTCs). The microfluidic chip utilizes a spiral channel design, which leverages the effect of hydrodynamic forces to efficiently sort CTCs from complex cell mixtures and ensure high-purity separation of target cells. Meanwhile, the interdigital microwave sensor equipped with unique forked finger structure captures cell-induced changes in resonance amplitude and capacitance via a multi-modal (resonance and capacitance) detection mechanism, enabling the detection of CTCs concentration after sorting for subsequent quantification. Furthermore, a deep learning-based data fusion network is employed to analyze the resonant and capacitive signals, enhancing the accuracy and robustness of the concentration measurement. The experimental results validated the excellent performance of the integrated microwave-microfluidic biosensing system: the sorting efficiency of the microfluidic chip for CTCs reached 82.4 %, meeting the requirement for subsequent target cell enrichment detection; the finger-inserted microwave sensor exhibited concentration response sensitivity via multimodal detection with sensitivities of 0.49 dB/10⁴×mL⁻¹ and 2.01 pF/10⁴×mL⁻¹, respectively, which confirms its capability to accurately quantify CTCs concentrations. The integrated system does not require fluorescent labeling or invasive treatments, and can achieve label-free, rapid, and highly efficient sorting and detection of CTCs. This system holds promising potential in biomedical fields such as early cancer diagnosis, prognostic monitoring, and liquid biopsy, providing valuable technological support for clinical practice.
本研究构建了一种多模态双功能微波-微流控生物传感系统,该系统将数字间谐振和电容传感器与微流控芯片相结合,旨在同时对循环肿瘤细胞(CTCs)进行无标记分选和浓度检测。微流控芯片采用螺旋通道设计,利用流体动力的影响,从复杂的细胞混合物中有效地分选ctc,并确保目标细胞的高纯度分离。同时,具有独特叉指结构的数字间微波传感器通过多模态(共振和电容)检测机制捕捉细胞诱导的共振幅度和电容变化,从而检测分选后的ctc浓度,进行后续定量。此外,采用基于深度学习的数据融合网络对谐振和电容信号进行分析,提高了浓度测量的准确性和鲁棒性。实验结果验证了微波-微流控集成生物传感系统的优异性能:微流控芯片对ctc的分选效率达到82.4 %,满足后续靶细胞富集检测的要求;手指插入式微波传感器通过多模态检测显示出浓度响应灵敏度,其灵敏度分别为0.49 dB/10⁴×mL⁻¹和2.01 pF/10⁴×mL⁻¹,证实了其准确量化ctc浓度的能力。该集成系统不需要荧光标记或侵入性处理,可实现无标记、快速、高效的ctc分选检测。该系统在癌症早期诊断、预后监测、液体活检等生物医学领域具有广阔的应用前景,为临床实践提供了宝贵的技术支持。
{"title":"Multi-modal dual-functional integrated microwave-microfluidic sensor with both resonant and capacitive characteristics for cancer cell detection","authors":"Tian Qiang ,&nbsp;Wen-Yi Zhu ,&nbsp;Yan-Xiong Wang ,&nbsp;Wen Jiang ,&nbsp;Jun-Shuai Wu ,&nbsp;Yan-Feng Jiang ,&nbsp;Qi-Gao Fan ,&nbsp;Xiaoman Zhou","doi":"10.1016/j.sna.2026.117494","DOIUrl":"10.1016/j.sna.2026.117494","url":null,"abstract":"<div><div>In this study, a multi-modal dual-functional microwave-microfluidic biosensing system integrating an interdigital resonant and capacitive sensor with a microfluidic chip was constructed, aiming at simultaneous label-free sorting and concentration detection of circulating tumor cells (CTCs). The microfluidic chip utilizes a spiral channel design, which leverages the effect of hydrodynamic forces to efficiently sort CTCs from complex cell mixtures and ensure high-purity separation of target cells. Meanwhile, the interdigital microwave sensor equipped with unique forked finger structure captures cell-induced changes in resonance amplitude and capacitance via a multi-modal (resonance and capacitance) detection mechanism, enabling the detection of CTCs concentration after sorting for subsequent quantification. Furthermore, a deep learning-based data fusion network is employed to analyze the resonant and capacitive signals, enhancing the accuracy and robustness of the concentration measurement. The experimental results validated the excellent performance of the integrated microwave-microfluidic biosensing system: the sorting efficiency of the microfluidic chip for CTCs reached 82.4 %, meeting the requirement for subsequent target cell enrichment detection; the finger-inserted microwave sensor exhibited concentration response sensitivity via multimodal detection with sensitivities of 0.49 dB/10⁴×mL⁻¹ and 2.01 pF/10⁴×mL⁻¹, respectively, which confirms its capability to accurately quantify CTCs concentrations. The integrated system does not require fluorescent labeling or invasive treatments, and can achieve label-free, rapid, and highly efficient sorting and detection of CTCs. This system holds promising potential in biomedical fields such as early cancer diagnosis, prognostic monitoring, and liquid biopsy, providing valuable technological support for clinical practice.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117494"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025125","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}
引用次数: 0
Contactless point-of-care detection of latent tuberculosis biomarker Hsp16.3 using a high-sensitivity magnetoimpedance biosensor 使用高灵敏度磁阻抗生物传感器检测潜伏性结核生物标志物Hsp16.3的非接触式护理点
IF 4.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2026-04-01 Epub Date: 2026-01-12 DOI: 10.1016/j.sna.2026.117493
Thimpika Pornprom , Bongkochawan Pakamwong , Jidapa Sangswan , Auradee Punkvang , Paptawan Thongdee , Khomson Suttisintong , Jiraporn Leanpolchareanchai , Poonpilas Hongmanee , Putthapoom Lumjiaktase , Orawon Chailapakul , Sakda Jampasa , Pornpan Pungpo , Ongard Thiabgoh
Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a leading cause of infectious disease-related mortality worldwide, with latent tuberculosis infection (LTBI) presenting a major diagnostic challenge. Heat shock protein 16.3 (Hsp16.3), a latency-associated antigen strongly expressed during dormancy, has emerged as a promising biomarker for LTBI detection. However, conventional diagnostic methods are costly, complex, and infrastructure-dependent, underscoring the need for portable and reagent-free biosensing solutions. Here, we report a contactless biosensing platform based on the giant magnetoimpedance (GMI) effect for the detection of Hsp16.3. The system integrates a commercial pico-Tesla resolution amorphous wire sensor with an Arduino-based microcontroller and MCP3223 analog-to-digital converter. Detection relies on binding-induced magnetic field perturbations generated by antibody- functionalized iron-oxide nanoparticles, and antibody-antigen complexes, which modulate the local magnetic fields and induce measurable impedance changes. The biosensor achieved reproducible detection of Hsp16.3 in model assays, with limits of detection of ∼99 µg/mL for antibody titration and ∼44 µg/mL for antigen response. More importantly, the platform was successfully validated with plasma samples from LTBI patients, demonstrating specific responses to antibody-antigen complexes in complex biological matrices. This work represents the first demonstration of a GMI-biosensor validated with LTBI plasma samples, highlighting its potential as a portable, scalable, and reagent-free diagnostic tool for future development toward early TB screening in resource-limited settings.
由结核分枝杆菌(MTB)引起的结核病(TB)仍然是世界范围内传染病相关死亡的主要原因,潜伏性结核感染(LTBI)提出了一个主要的诊断挑战。热休克蛋白16.3 (Hsp16.3)是一种在休眠期间强烈表达的潜伏期相关抗原,已成为LTBI检测的有希望的生物标志物。然而,传统的诊断方法昂贵、复杂且依赖于基础设施,因此需要便携式和无试剂的生物传感解决方案。本文报道了一种基于巨磁阻抗(GMI)效应的检测Hsp16.3的非接触式生物传感平台。该系统集成了商用pico-Tesla分辨率非晶线传感器、基于arduino的微控制器和MCP3223模数转换器。检测依赖于由抗体功能化的氧化铁纳米颗粒和抗体-抗原复合物产生的结合诱导的磁场扰动,它们调节局部磁场并诱导可测量的阻抗变化。该生物传感器在模型分析中实现了对Hsp16.3的重复性检测,抗体滴定的检测限为~ 99 µg/mL,抗原反应的检测限为~ 44 µg/mL。更重要的是,该平台成功地用LTBI患者的血浆样本进行了验证,显示出对复杂生物基质中抗体-抗原复合物的特异性反应。这项工作首次展示了用LTBI血浆样本验证的gmi -生物传感器,突出了其作为便携式、可扩展和无试剂诊断工具的潜力,可用于未来在资源有限的环境中开发早期结核病筛查。
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Sensors and Actuators A-physical
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