This study presents a highly sensitive, selective, and stable ethanol sensor based on an amorphous V₂O₅ thin film deposited via pulsed laser deposition technique. The sensor operates effectively at a low temperature of 100 °C under low bias voltage of 5 V, achieving a detection limit of 40 ppm. Detailed characterization of thin film sensor was investigated using XRD, TG-DTA, Raman spectroscopy, FESEM, AFM, and XPS. UV-PL spectroscopy reveals an optical band gap of 2.7 eV, further indicating the presence of oxygen vacancies. I–V measurements demonstrate Ohmic-type conduction behavior. The sensor shows a consistent and robust ethanol response of ∼106 % to 120 ppm ethanol, with rapid response and recovery times of ∼13 s and ∼19 s, respectively. It also displays exceptional selectivity over interfering gases such as CH₄, C₂H₆CO, NH₃, NO₂, and CO, with a sensitivity of approximately 100 % at lowest 40 ppm concentration. Additionally, the device maintains high repeatability and long term operational stability across multiple testing cycles and sustained monitoring over 60 days. These findings underscore the potential of amorphous V₂O₅ thin films for ethanol sensing applications in industrial safety, environmental surveillance, and medical diagnostics in breath-based disease detection.
{"title":"Highly sensitive and selective ethanol detection at low temperature via pulse laser deposited V₂O₅ thin film","authors":"Rohit Kumar , Puja Ghosh , Anurag Gupta , C.S. Prajapati","doi":"10.1016/j.sna.2026.117513","DOIUrl":"10.1016/j.sna.2026.117513","url":null,"abstract":"<div><div>This study presents a highly sensitive, selective, and stable ethanol sensor based on an amorphous V₂O₅ thin film deposited via pulsed laser deposition technique. The sensor operates effectively at a low temperature of 100 °C under low bias voltage of 5 V, achieving a detection limit of 40 ppm. Detailed characterization of thin film sensor was investigated using XRD, TG-DTA, Raman spectroscopy, FESEM, AFM, and XPS. UV-PL spectroscopy reveals an optical band gap of 2.7 eV, further indicating the presence of oxygen vacancies. I–V measurements demonstrate Ohmic-type conduction behavior. The sensor shows a consistent and robust ethanol response of ∼106 % to 120 ppm ethanol, with rapid response and recovery times of ∼13 s and ∼19 s, respectively. It also displays exceptional selectivity over interfering gases such as CH₄, C₂H₆CO, NH₃, NO₂, and CO, with a sensitivity of approximately 100 % at lowest 40 ppm concentration. Additionally, the device maintains high repeatability and long term operational stability across multiple testing cycles and sustained monitoring over 60 days. These findings underscore the potential of amorphous V₂O₅ thin films for ethanol sensing applications in industrial safety, environmental surveillance, and medical diagnostics in breath-based disease detection.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117513"},"PeriodicalIF":4.9,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025122","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 : 2026-01-16DOI: 10.1016/j.sna.2026.117480
Jiacheng Li , Rui Feng , Ming Zhou , Xinlian Shang , Xiaoyi Wang , Huikai Xie
This paper systematically conducts theoretical analysis, structural improvement design, finite element simulation verification, and mathematical compensation model research focusing on the nonlinear characteristics of capacitive comb-drive accelerometers. First, the structural design and fabrication process of the accelerometer are presented. Then, the generation mechanism of nonlinear errors is theoretically analyzed from three dimensions: structural design, fabrication error, and testing. Research results show that: the mass bias displacement, unilateral deformation of the substrate, and installation errors significantly increase the sensitivity asymmetry of the accelerometer, further leading to the deterioration of nonlinearity. This paper proposes a single-anchor layout design with parallel arrangement in the sensing direction. Finite element simulation confirms that the nonlinearity of the improved accelerometer caused by mass bias displacement is reduced by 96.36 %; under the same substrate bending amount, the nonlinearity of the improved accelerometer is reduced by 34.72 %. To address the installation error issue, a corresponding mathematical compensation model is constructed. Within the operating range of comb finger gap variation of ±7 %, the nonlinearity of the compensated open-loop accelerometer is reduced by 67.11 %, which can be stably controlled below 900 ppm.
{"title":"Theoretical analysis and design improvement of nonlinearity in capacitive accelerometers","authors":"Jiacheng Li , Rui Feng , Ming Zhou , Xinlian Shang , Xiaoyi Wang , Huikai Xie","doi":"10.1016/j.sna.2026.117480","DOIUrl":"10.1016/j.sna.2026.117480","url":null,"abstract":"<div><div>This paper systematically conducts theoretical analysis, structural improvement design, finite element simulation verification, and mathematical compensation model research focusing on the nonlinear characteristics of capacitive comb-drive accelerometers. First, the structural design and fabrication process of the accelerometer are presented. Then, the generation mechanism of nonlinear errors is theoretically analyzed from three dimensions: structural design, fabrication error, and testing. Research results show that: the mass bias displacement, unilateral deformation of the substrate, and installation errors significantly increase the sensitivity asymmetry of the accelerometer, further leading to the deterioration of nonlinearity. This paper proposes a single-anchor layout design with parallel arrangement in the sensing direction. Finite element simulation confirms that the nonlinearity of the improved accelerometer caused by mass bias displacement is reduced by 96.36 %; under the same substrate bending amount, the nonlinearity of the improved accelerometer is reduced by 34.72 %. To address the installation error issue, a corresponding mathematical compensation model is constructed. Within the operating range of comb finger gap variation of ±7 %, the nonlinearity of the compensated open-loop accelerometer is reduced by 67.11 %, which can be stably controlled below 900 ppm.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117480"},"PeriodicalIF":4.9,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025117","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 : 2026-01-16DOI: 10.1016/j.sna.2026.117509
Xingyun Jin , Youjiang Li , Bo Dai , Yeming Shi , Zhihan Chen , Qingxiong Cui , Yong Wang
Preload loss readily results in bolted connection structural failure and safety accidents. This study addressed critical problems associated with the existing bolt preload monitoring technology. An optimized smart bolted structure was proposed, and a preparation method was adopted based on the gradient ZnO piezoelectric film. Multi-physics finite element simulation analysis was conducted to optimize ZnO film thickness, diameter, Ag electrode thickness, and excitation frequency. The results show that the increased ZnO film thickness significantly improved the echo signal intensity. The smaller diameter of the ZnO film enhanced sensitivity by overcoming noise suppression. The signal strength and noise control were considered with a 5 μm Ag electrode. With an excitation frequency of 5–10 MHz, the piezoelectric effect matched the resonant frequency, resulting in optimal signal conversion efficiency. Based on the simulation results, a gradient ZnO piezoelectric film was prepared (5 mm in diameter and 9 μm thick) through magnetron sputtering. Experimental results show that the echo signal strength of the gradient smart bolt (378 mV) is 7.4 times that of the non-gradient one (51 mV), and the SNR was increased from ∼17.84 dB to ∼31.70 dB, indicating a remarkable noise suppression effect. This study provides theoretical and technical support for the real-time monitoring of bolt preloading with high precision and low noise, thereby promoting the reliability of smart bolts in engineering applications.
{"title":"Structural optimization and fabrication of gradient ZnO piezoelectric thin film based smart bolts","authors":"Xingyun Jin , Youjiang Li , Bo Dai , Yeming Shi , Zhihan Chen , Qingxiong Cui , Yong Wang","doi":"10.1016/j.sna.2026.117509","DOIUrl":"10.1016/j.sna.2026.117509","url":null,"abstract":"<div><div>Preload loss readily results in bolted connection structural failure and safety accidents. This study addressed critical problems associated with the existing bolt preload monitoring technology. An optimized smart bolted structure was proposed, and a preparation method was adopted based on the gradient ZnO piezoelectric film. Multi-physics finite element simulation analysis was conducted to optimize ZnO film thickness, diameter, Ag electrode thickness, and excitation frequency. The results show that the increased ZnO film thickness significantly improved the echo signal intensity. The smaller diameter of the ZnO film enhanced sensitivity by overcoming noise suppression. The signal strength and noise control were considered with a 5 μm Ag electrode. With an excitation frequency of 5–10 MHz, the piezoelectric effect matched the resonant frequency, resulting in optimal signal conversion efficiency. Based on the simulation results, a gradient ZnO piezoelectric film was prepared (5 mm in diameter and 9 μm thick) through magnetron sputtering. Experimental results show that the echo signal strength of the gradient smart bolt (378 mV) is 7.4 times that of the non-gradient one (51 mV), and the SNR was increased from ∼17.84 dB to ∼31.70 dB, indicating a remarkable noise suppression effect. This study provides theoretical and technical support for the real-time monitoring of bolt preloading with high precision and low noise, thereby promoting the reliability of smart bolts in engineering applications.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"401 ","pages":"Article 117509"},"PeriodicalIF":4.9,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192835","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 : 2026-01-15DOI: 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":"2026-01-15","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 : 2026-01-15DOI: 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":"2026-01-15","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 : 2026-01-15DOI: 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":"2026-01-15","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":"2026-01-15","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}
Here, we report the fabrication of a reusable, label-free, non-invasive, and reagent-less aptasensor for direct electrochemical detection of lactoferrin (LF), a significant biomarker for Alzheimer's disease (AD). The sensor was constructed by immobilizing thiolated aptamer of LF on a gold screen-printed electrode (AuSPE), followed by backfilling 6-Mercapto-1-hexanol (MCH) to form the MCH/Apt-LF/AuSPE aptasensor. The aptasensor was characterized using FESEM, FTIR, DPV, EIS and CV techniques. It revealed broad linear detection from 0.001 to 500 μg/mL, with a sensitivity of 13.072 μA [log10 (μg/mL)]−1 cm−2 along with a very low detection limit of 0.0007 μg/mL and limit of quantification of 0.0024 µg/mL as per the DPV technique. It showed remarkable reproducibility and selectivity towards varying interferents found in saliva, offering fast, reagent-less, and sensitive determination of LF in AD evaluation. Additionally, the fabricated aptasensor exhibited an acceptable %RSD, remaining below 8.88% for the spiked artificial saliva sample. The developed platform shows promise for extension to the early, non-invasive diagnosis of other neurodegenerative disorders.
{"title":"Electrochemical aptasensor for non-invasive detection of lactoferrin: A potential biomarker for Alzheimer’s disease","authors":"Damini Verma , Aadi Jeevaraj , B.S. Unnikrishnan , Devesh Bhimsaria , Gopinath Packirisamy","doi":"10.1016/j.sna.2026.117504","DOIUrl":"10.1016/j.sna.2026.117504","url":null,"abstract":"<div><div>Here, we report the fabrication of a reusable, label-free, non-invasive, and reagent-less aptasensor for direct electrochemical detection of lactoferrin (LF), a significant biomarker for Alzheimer's disease (AD). The sensor was constructed by immobilizing thiolated aptamer of LF on a gold screen-printed electrode (AuSPE), followed by backfilling 6-Mercapto-1-hexanol (MCH) to form the MCH/Apt-LF/AuSPE aptasensor. The aptasensor was characterized using FESEM, FTIR, DPV, EIS and CV techniques. It revealed broad linear detection from 0.001 to 500 μg/mL, with a sensitivity of 13.072 μA [log<sub>10</sub> (μg/mL)]<sup>−1</sup> cm<sup>−2</sup> along with a very low detection limit of 0.0007 μg/mL and limit of quantification of 0.0024 µg/mL as per the DPV technique. It showed remarkable reproducibility and selectivity towards varying interferents found in saliva, offering fast, reagent-less, and sensitive determination of LF in AD evaluation. Additionally, the fabricated aptasensor exhibited an acceptable %RSD, remaining below 8.88% for the spiked artificial saliva sample. The developed platform shows promise for extension to the early, non-invasive diagnosis of other neurodegenerative disorders.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117504"},"PeriodicalIF":4.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025126","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}
Multiferroic materials, exhibiting both ferroelectric and ferromagnetic order, have garnered significant interest for optoelectronic applications. Ferroelectricity provides spontaneous polarization and photoresponse capabilities, while ferromagnetism introduces magneto-optical coupling effects, giving these materials distinct advantages in multifunctional device design. This study investigates the manipulation of photocurrent via multiple fields (electric and magnetic) in single phase multiferroic Bi4LaFe0.7Co0.3Ti3O15 (BLFCT) thin films towards self-powered ultraviolet photodetector. High-quality multiferroic BLFCT thin films were fabricated on Nb:SrTiO3 (NSTO) substrates using pulsed laser deposition, forming Pt/BLFCT/NSTO heterojunctions. Under 365 nm ultraviolet illumination, the device exhibited significant self-powered characteristics, achieving a zero-bias photocurrent density of 39.354 μA/cm² and an on/off ratio exceeding 450. Moreover, the photocurrent could be further enhanced by up to 20 % through the application of a magnetic field, demonstrating the multi-field tunability of the device. Further investigations revealed that the switchable ferroelectric polarization modulates the strength of the effective internal electric field, which dominates the separation and transportation of the photocarriers. Moreover, the magnetostrictive effect and the magnetoelectric coupling-induced ferroelectric polarization promote the separation and transport of photogenerated carriers, thereby enhancing the overall photoresponse performance. This work establishes a promising strategy for employing multiferroic materials in low-power-consumption UV detection applications.
{"title":"Multi-field tuning of photocurrents in single phase multiferroic BLFCT thin films","authors":"Ji Luo, Peng Zhou, Yuxiong Cao, Tianjin Zhang, Jinzhao Wang, Yajun Qi","doi":"10.1016/j.sna.2026.117507","DOIUrl":"10.1016/j.sna.2026.117507","url":null,"abstract":"<div><div>Multiferroic materials, exhibiting both ferroelectric and ferromagnetic order, have garnered significant interest for optoelectronic applications. Ferroelectricity provides spontaneous polarization and photoresponse capabilities, while ferromagnetism introduces magneto-optical coupling effects, giving these materials distinct advantages in multifunctional device design. This study investigates the manipulation of photocurrent via multiple fields (electric and magnetic) in single phase multiferroic Bi<sub>4</sub>LaFe<sub>0.7</sub>Co<sub>0.3</sub>Ti<sub>3</sub>O<sub>15</sub> (BLFCT) thin films towards self-powered ultraviolet photodetector. High-quality multiferroic BLFCT thin films were fabricated on Nb:SrTiO<sub>3</sub> (NSTO) substrates using pulsed laser deposition, forming Pt/BLFCT/NSTO heterojunctions. Under 365 nm ultraviolet illumination, the device exhibited significant self-powered characteristics, achieving a zero-bias photocurrent density of 39.354 μA/cm² and an on/off ratio exceeding 450. Moreover, the photocurrent could be further enhanced by up to 20 % through the application of a magnetic field, demonstrating the multi-field tunability of the device. Further investigations revealed that the switchable ferroelectric polarization modulates the strength of the effective internal electric field, which dominates the separation and transportation of the photocarriers. Moreover, the magnetostrictive effect and the magnetoelectric coupling-induced ferroelectric polarization promote the separation and transport of photogenerated carriers, thereby enhancing the overall photoresponse performance. This work establishes a promising strategy for employing multiferroic materials in low-power-consumption UV detection applications.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117507"},"PeriodicalIF":4.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981895","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 : 2026-01-14DOI: 10.1016/j.sna.2026.117501
Vanessa Barton , Hridyesh Tewani , Xiangyu Sun , Christian Franck , Pavana Prabhakar , Joseph Andrews
Flexible pressure sensors have a wide range of applications, including human body monitoring and robotic control. Recent work has focused on developing pressure sensors that excel at measuring pressure in the ultrasensitive range, often with parallel plate piezocapacitive sensors and a dielectric that relies on pores or microstructures. However, these approaches have a few drawbacks, including a limited pressure range and high complexity, leading to expensive and time-consuming manufacturing. To mitigate these problems, here we demonstrate the fabrication of a low-cost, flexible, interdigitated electrode (IDE) pressure sensor with an overlaid layered elastomer composed of polydimethylsiloxane (PDMS) and barium titanate (BaTiO3). The elastomers are manipulated by modifying the mixing ratio, curing temperature, and incorporation of BaTiO3. Characterization of these elastomers under compression at two strain rates allows for insight into their behavior and the tunability of the layered macrostructure. Additionally, the IDE geometry is explored with emphasis on the effect of the number of fingers, finger length, finger width, and gap width. As a result, the leading IDE geometry can be tuned to work in a lower pressure range with a higher sensitivity of 1.654 % kPa−1 from 0 to 10 kPa and 0.053 % kPa−1 from 10 to 100 kPa, or in a larger range with a sensitivity of 0.53 % kPa−1 from 0 to 10 kPa, 0.112 % kPa−1 from 10 to 100 kPa, and 0.009 % kPa−1 from 100 to 500 kPa. The results from all IDE designs are analyzed to fundamentally understand the importance of each geometric parameter for optimizing sensitivity and pressure range.
{"title":"Single-sided capacitive pressure sensor with tunable performance over a wide pressure range","authors":"Vanessa Barton , Hridyesh Tewani , Xiangyu Sun , Christian Franck , Pavana Prabhakar , Joseph Andrews","doi":"10.1016/j.sna.2026.117501","DOIUrl":"10.1016/j.sna.2026.117501","url":null,"abstract":"<div><div>Flexible pressure sensors have a wide range of applications, including human body monitoring and robotic control. Recent work has focused on developing pressure sensors that excel at measuring pressure in the ultrasensitive range, often with parallel plate piezocapacitive sensors and a dielectric that relies on pores or microstructures. However, these approaches have a few drawbacks, including a limited pressure range and high complexity, leading to expensive and time-consuming manufacturing. To mitigate these problems, here we demonstrate the fabrication of a low-cost, flexible, interdigitated electrode (IDE) pressure sensor with an overlaid layered elastomer composed of polydimethylsiloxane (PDMS) and barium titanate (BaTiO<sub>3</sub>). The elastomers are manipulated by modifying the mixing ratio, curing temperature, and incorporation of BaTiO<sub>3</sub>. Characterization of these elastomers under compression at two strain rates allows for insight into their behavior and the tunability of the layered macrostructure. Additionally, the IDE geometry is explored with emphasis on the effect of the number of fingers, finger length, finger width, and gap width. As a result, the leading IDE geometry can be tuned to work in a lower pressure range with a higher sensitivity of 1.654 % kPa<sup>−1</sup> from 0 to 10 kPa and 0.053 % kPa<sup>−1</sup> from 10 to 100 kPa, or in a larger range with a sensitivity of 0.53 % kPa<sup>−1</sup> from 0 to 10 kPa, 0.112 % kPa<sup>−1</sup> from 10 to 100 kPa, and 0.009 % kPa<sup>−1</sup> from 100 to 500 kPa. The results from all IDE designs are analyzed to fundamentally understand the importance of each geometric parameter for optimizing sensitivity and pressure range.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"400 ","pages":"Article 117501"},"PeriodicalIF":4.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025124","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}