Pub Date : 2026-04-01Epub Date: 2026-01-20DOI: 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.
{"title":"A composite thin-film strain gauge with a near-zero temperature coefficient of resistance and a highly linear response to strain","authors":"Mengqiu Li , Yahui Li , Guifu Ding , Zhuoqing Yang","doi":"10.1016/j.sna.2026.117519","DOIUrl":"10.1016/j.sna.2026.117519","url":null,"abstract":"<div><div>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 (R<sup>2</sup> ≈ 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.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117519"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025114","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}
Pub Date : 2026-04-01Epub Date: 2026-02-03DOI: 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.
{"title":"Tri-cation doped Ni0.1Cu0.1Mn0.8Fe2O4 nanoparticles for ultra-sensitive, fast-response magnetoresistive sensors in weak magnetic fields","authors":"Reza Gholipur","doi":"10.1016/j.sna.2026.117466","DOIUrl":"10.1016/j.sna.2026.117466","url":null,"abstract":"<div><div>Ni<sub>0.1</sub>Cu<sub>0.1</sub>Mn<sub>0.8</sub>Fe<sub>2</sub>O<sub>4</sub> 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 Ni<sup>2 +</sup> /Cu<sup>2+</sup> doping that enhances Fe<sup>3+</sup>-O-Mn<sup>2+</sup> 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.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117466"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170730","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}
Pub Date : 2026-04-01Epub Date: 2026-01-17DOI: 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.
{"title":"A sensitive double-clamped quartz tuning fork (QTF) pressure sensor with temperature compensation for liquid level sensing at elevated temperatures","authors":"Shuai Ju , Sreejith V. Sreedharan , Mitali H. Desai , Haifeng Zhang","doi":"10.1016/j.sna.2026.117511","DOIUrl":"10.1016/j.sna.2026.117511","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117511"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170847","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}
Pub Date : 2026-04-01Epub Date: 2026-01-15DOI: 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.
{"title":"1,10-phenanthroline-modified silver-coated D-shaped optical fiber SPR sensor for selective and rapid detection of Fe²⁺ ions in corrosion environments","authors":"Yaning Wang , Dong Luo , Zhongxiao Song , Xiaodong Zhu , Zhixin Guo , Ziming Xu","doi":"10.1016/j.sna.2026.117491","DOIUrl":"10.1016/j.sna.2026.117491","url":null,"abstract":"<div><div>In this study, a surface plasmon resonance(SPR) sensor based on a phenanthroline self-assembled layer–modified silver-coated <span>D</span>-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 <span>D</span>-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.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117491"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981957","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}
Pub Date : 2026-04-01Epub Date: 2026-01-15DOI: 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.
{"title":"Artificial intelligence-enabled MOS gas sensors: Towards Selective and intelligent detection in complex environments","authors":"Gen Li , Sunghoon Park , Hyojung Kim , Muhammad Hilal , 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}
Pub Date : 2026-04-01Epub Date: 2026-01-30DOI: 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.
{"title":"Ultra high responsivity bridge uncooled infrared microbolometers based on Mn-Co-Ni-O thin-film","authors":"Yan Zhao , Zirui Yang , Chengchen Gao , 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}
Pub Date : 2026-04-01Epub Date: 2026-02-06DOI: 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.
{"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, Kairui Cao, Zekun Li, Hairui Du, 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}
Pub Date : 2026-04-01Epub Date: 2026-01-15DOI: 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.
{"title":"Wearable sensors for real-time microclimate monitoring in plants","authors":"Vandana Ramakrishnan, 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}
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.
{"title":"Multi-modal dual-functional integrated microwave-microfluidic sensor with both resonant and capacitive characteristics for cancer cell detection","authors":"Tian Qiang , Wen-Yi Zhu , Yan-Xiong Wang , Wen Jiang , Jun-Shuai Wu , Yan-Feng Jiang , Qi-Gao Fan , 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}
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.
{"title":"Contactless point-of-care detection of latent tuberculosis biomarker Hsp16.3 using a high-sensitivity magnetoimpedance biosensor","authors":"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","doi":"10.1016/j.sna.2026.117493","DOIUrl":"10.1016/j.sna.2026.117493","url":null,"abstract":"<div><div>Tuberculosis (TB), caused by <em>Mycobacterium tuberculosis</em> (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.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117493"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025120","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}