Pub Date : 2026-01-01DOI: 10.1016/j.sintl.2026.100373
Lijin Rajan , Toribio F. Otero , Sivakrishna Prakash , Seema Ansari , Yahya A. Ismail
In this study, we present a comprehensive experimental investigation and theoretical description of the sensing capabilities of the electrochemical reactions of PEDOT/PVA interpenetrated film responding to the electrical, chemical, and thermal ambient conditions. The reaction drives reversible conformational movements or cooperative actuation of the PEDOT chains (the macromolecular electrochemical motors) mimicking biological functionalities that has been explored by few. The PEDOT/PVA hybrid film serves as a model material to simulate the cooperative actuation of sarcomeres in muscles. The consumed reaction energy under cyclic voltametric experimental conditions respond to and sense the ambient conditions: electrical (potential scan rate), chemical (electrolyte concentration) and thermal (temperature). Here, only two connecting wires are required to communicate both the command (current) and sensing signals (charge or energy) between the computer (brain) and the film (muscle). In other words, no additional sensors or connecting wires are required. Based on the reaction rate equation, a theoretical description consistent with the experimental results was developed. If these findings are translated to natural muscles and biological systems, they suggest that at any time the reaction energy in functional cells (such as the sarcomeres in muscles) could generate mechanical, chemical, thermal, and neuronal sensing signals to inform the brain during actuation. This remains an open biological question.
{"title":"Biomimetic multi-sensing behavior through co-operative actuation of electrochemical macromolecular motors in conducting polymers: Results from PEDOT/PVA interpenetrated films","authors":"Lijin Rajan , Toribio F. Otero , Sivakrishna Prakash , Seema Ansari , Yahya A. Ismail","doi":"10.1016/j.sintl.2026.100373","DOIUrl":"10.1016/j.sintl.2026.100373","url":null,"abstract":"<div><div>In this study, we present a comprehensive experimental investigation and theoretical description of the sensing capabilities of the electrochemical reactions of PEDOT/PVA interpenetrated film responding to the electrical, chemical, and thermal ambient conditions. The reaction drives reversible conformational movements or cooperative actuation of the PEDOT chains (the macromolecular electrochemical motors) mimicking biological functionalities that has been explored by few. The PEDOT/PVA hybrid film serves as a model material to simulate the cooperative actuation of sarcomeres in muscles. The consumed reaction energy under cyclic voltametric experimental conditions respond to and sense the ambient conditions: electrical (potential scan rate), chemical (electrolyte concentration) and thermal (temperature). Here, only two connecting wires are required to communicate both the command (current) and sensing signals (charge or energy) between the computer (brain) and the film (muscle). In other words, no additional sensors or connecting wires are required. Based on the reaction rate equation, a theoretical description consistent with the experimental results was developed. If these findings are translated to natural muscles and biological systems, they suggest that at any time the reaction energy in functional cells (such as the sarcomeres in muscles) could generate mechanical, chemical, thermal, and neuronal sensing signals to inform the brain during actuation. This remains an open biological question.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100373"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.sintl.2026.100371
Ali Gadelmoula , Xuan Li , Baker Mohammad , Moh'd Rezeq , Wesley Cantwell , Lianxi Zheng
Neuromorphic computing systems could greatly benefit from electronic devices that exhibit analog resistive switching and dynamic adaptation similar to those of biological neurons, particularly for implementing sensory functions such as nociception. Here, we present a graphene oxide–cobalt oxide (GO–CoO) memristor that exhibits analog resistive switching with intrinsic current decay. Successive current–voltage sweeps with varying cutoff voltages demonstrate multilevel, finely tunable resistance states over a broad range without any compliance current. Charge–flux analysis confirms that the device operates as a true memristor, and cumulative conductance buildup under sequential positive and negative biases indicates robust, polarity-independent switching. Moreover, tuning the voltage sweep rate modulates the inertia of charge carriers that governs the switching kinetics. The GO–CoO architecture establishes a conductive network wherein oxygen vacancy dynamics within CoO particles and conductive rGO formation collectively govern analog resistive switching, providing the essential tunability and stability required to emulate synaptic plasticity. Under optimized pulsed stimulation, the memristor faithfully emulates key nociceptive neural responses, including a threshold response, peripheral sensitization (manifested as hyperalgesia and allodynia), central sensitization (temporal summation and facilitation), suprathreshold response, and post-stimulus recovery. The device also exhibits both short-term and long-term synaptic plasticity. These results pave the way for simple, cost-effective memristors capable of emulating neural synaptic functions and pain perception.
{"title":"Toward neuromorphic pain sensors: Full-Spectrum artificial nociception via analog-switching memristors with tunable volatility","authors":"Ali Gadelmoula , Xuan Li , Baker Mohammad , Moh'd Rezeq , Wesley Cantwell , Lianxi Zheng","doi":"10.1016/j.sintl.2026.100371","DOIUrl":"10.1016/j.sintl.2026.100371","url":null,"abstract":"<div><div>Neuromorphic computing systems could greatly benefit from electronic devices that exhibit analog resistive switching and dynamic adaptation similar to those of biological neurons, particularly for implementing sensory functions such as nociception. Here, we present a graphene oxide–cobalt oxide (GO–CoO) memristor that exhibits analog resistive switching with intrinsic current decay. Successive current–voltage sweeps with varying cutoff voltages demonstrate multilevel, finely tunable resistance states over a broad range without any compliance current. Charge–flux analysis confirms that the device operates as a true memristor, and cumulative conductance buildup under sequential positive and negative biases indicates robust, polarity-independent switching. Moreover, tuning the voltage sweep rate modulates the inertia of charge carriers that governs the switching kinetics. The GO–CoO architecture establishes a conductive network wherein oxygen vacancy dynamics within CoO particles and conductive rGO formation collectively govern analog resistive switching, providing the essential tunability and stability required to emulate synaptic plasticity. Under optimized pulsed stimulation, the memristor faithfully emulates key nociceptive neural responses, including a threshold response, peripheral sensitization (manifested as hyperalgesia and allodynia), central sensitization (temporal summation and facilitation), suprathreshold response, and post-stimulus recovery. The device also exhibits both short-term and long-term synaptic plasticity. These results pave the way for simple, cost-effective memristors capable of emulating neural synaptic functions and pain perception.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100371"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gold is a valuable noble metal having widespread applications across various fields. However, Au3+ accumulation in the human body and the environment can pose serious health and ecological risks. Therefore, effective methods for Au3+ detection must be developed. Herein, a fluorescence sensor was successfully synthesized, to the best of our knowledge, as the first dicyano-[5]helicene-based sensor (MP) for Au3+ detection. Spectroscopic techniques and single-crystal X-ray analysis were used to confirm the molecular structure and photophysical properties of MP. The sensor exhibited a large Stokes shift of 111 nm and a high fluorescence quantum yield. Upon exposure to Au3+MP displayed a “turn-off” fluorescence response, which indicates its high selectivity toward Au3+ over other competing metal ions along with excellent sensitivity. The detection limit of MP reached 4.2 ppb, which is lower than the guideline value for Au3+ toxicity in freshwater environments. The sensing mechanism for Au3+ detection was proposed to rely on the alkynophilicity of Au3+, activating the triple bond and inducing hydration of the alkyne moiety. This mechanism was supported by Fourier transform infrared spectroscopy, 1H nuclear magnetic resonance spectroscopy, high-resolution mass spectrometry, and molecular modeling. This sensor demonstrated high potential for qualitative fluorometric assays of Au3+ levels in diverse real samples, such as environmental water, drinking water, tap water, fertilizer solutions, cosmetic products, and human neuroblastoma cells. In addition, it could be applied for the quantitative detection of gold nanorods and further developed into a paper-based test strip for onsite Au3+ screening.
{"title":"Selective detection of toxic Au3+ using novel dicyano-[5]helicene-based fluorescence sensor: Applications in real samples and human neuroblastoma cells","authors":"Raveewan Kittiyaphong , Nirawit Kaewnok , Pramsak Patawanich , Pattarapapa Janthakit , Vinich Promarak , Anyanee Kamkaew , Pattanawit Swanglap , Jitnapa Sirirak , Natdhera Sanmanee , Krit Setthakarn , Nantanit Wanichacheva","doi":"10.1016/j.sintl.2026.100372","DOIUrl":"10.1016/j.sintl.2026.100372","url":null,"abstract":"<div><div>Gold is a valuable noble metal having widespread applications across various fields. However, Au<sup>3+</sup> accumulation in the human body and the environment can pose serious health and ecological risks. Therefore, effective methods for Au<sup>3+</sup> detection must be developed. Herein, a fluorescence sensor was successfully synthesized, to the best of our knowledge, as the first dicyano-[5]helicene-based sensor (<strong>MP</strong>) for Au<sup>3+</sup> detection. Spectroscopic techniques and single-crystal X-ray analysis were used to confirm the molecular structure and photophysical properties of <strong>MP</strong>. The sensor exhibited a large Stokes shift of 111 nm and a high fluorescence quantum yield. Upon exposure to Au<sup>3+</sup> <strong>MP</strong> displayed a “turn-off” fluorescence response, which indicates its high selectivity toward Au<sup>3+</sup> over other competing metal ions along with excellent sensitivity. The detection limit of <strong>MP</strong> reached 4.2 ppb, which is lower than the guideline value for Au<sup>3+</sup> toxicity in freshwater environments. The sensing mechanism for Au<sup>3+</sup> detection was proposed to rely on the alkynophilicity of Au<sup>3+</sup>, activating the triple bond and inducing hydration of the alkyne moiety. This mechanism was supported by Fourier transform infrared spectroscopy, <sup>1</sup>H nuclear magnetic resonance spectroscopy, high-resolution mass spectrometry, and molecular modeling. This sensor demonstrated high potential for qualitative fluorometric assays of Au<sup>3+</sup> levels in diverse real samples, such as environmental water, drinking water, tap water, fertilizer solutions, cosmetic products, and human neuroblastoma cells. In addition, it could be applied for the quantitative detection of gold nanorods and further developed into a paper-based test strip for onsite Au<sup>3+</sup> screening.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100372"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-04DOI: 10.1016/j.sintl.2025.100370
Mohamed Hemid, Hamid Nawaz, Nouha Alcheikh
This study presents a V-shaped microelectromechanical systems (MEMS) device designed to harness mode localization and nonlinear dynamic effects for high-performance pressure and/or multifunctional sensing. Three V-shaped devices with different geometric configurations were fabricated and tested to evaluate their pressure-sensing performance and anti-crossing behavior under pressure. The latter is particularly beneficial for sensing applications, as it ensures the device remains unaffected by pressure variations, eliminating the need for an additional packaging system. By exploiting mode coupling between the frequencies of symmetric and anti-symmetric modes, the sensors exhibited significant frequency and amplitude shifts across a pressure range of 0.1–760 Torr. One device demonstrated a sensitivity of up to 508.4 ppm/Torr near ambient pressure, while another achieved an ultra-high sensitivity of 7460 ppm/Torr in the medium-vacuum range and 1205.4 ppm/Torr in the low-vacuum range, showcasing excellent sensitivity and linearity. The third device showed a robustness against pressure variations, with one mode selectively insensitive to pressure but responsive to other stimuli, enabling multimodal sensing capabilities. Moreover, the device has been tested under temperature environmental variation, showing a low sensitivity of 20.4 ppm/0C. Comparative analysis with existing MEMS pressure sensors underscores the proposed design's advantages in structural simplicity, compact size, and high sensitivity, particularly in low-vacuum environments, positioning it as a promising solution for advanced sensing applications in biomedical, environmental, and industrial domains.
{"title":"A simple V-shaped microdevice for high-performance, wide-range vacuum and multifunctional sensing applications","authors":"Mohamed Hemid, Hamid Nawaz, Nouha Alcheikh","doi":"10.1016/j.sintl.2025.100370","DOIUrl":"10.1016/j.sintl.2025.100370","url":null,"abstract":"<div><div>This study presents a V-shaped microelectromechanical systems (MEMS) device designed to harness mode localization and nonlinear dynamic effects for high-performance pressure and/or multifunctional sensing. Three V-shaped devices with different geometric configurations were fabricated and tested to evaluate their pressure-sensing performance and anti-crossing behavior under pressure. The latter is particularly beneficial for sensing applications, as it ensures the device remains unaffected by pressure variations, eliminating the need for an additional packaging system. By exploiting mode coupling between the frequencies of symmetric and anti-symmetric modes, the sensors exhibited significant frequency and amplitude shifts across a pressure range of 0.1–760 Torr. One device demonstrated a sensitivity of up to 508.4 ppm/Torr near ambient pressure, while another achieved an ultra-high sensitivity of 7460 ppm/Torr in the medium-vacuum range and 1205.4 ppm/Torr in the low-vacuum range, showcasing excellent sensitivity and linearity. The third device showed a robustness against pressure variations, with one mode selectively insensitive to pressure but responsive to other stimuli, enabling multimodal sensing capabilities. Moreover, the device has been tested under temperature environmental variation, showing a low sensitivity of 20.4 ppm/<sup>0</sup>C. Comparative analysis with existing MEMS pressure sensors underscores the proposed design's advantages in structural simplicity, compact size, and high sensitivity, particularly in low-vacuum environments, positioning it as a promising solution for advanced sensing applications in biomedical, environmental, and industrial domains.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100370"},"PeriodicalIF":0.0,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145681172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The gas sensing mechanism is one of the most important parameters of chemiresistive gas sensors, and distinguishing them opens the possibility of manipulating sensor performance. In this study, we introduced the concept of adsorption-type contribution to the gas-sensing performance that could further enhance the fundamental understanding of gas-sensing mechanisms and aid future sensor development. The proposed concept was applied for the examination of Fe-doped SnO2 gas sensors ionic obtained through the successive layer adsorption and reaction (SILAR) method. The 0.5 mol.% Fe-doped SnO2 sensor demonstrated a sensing response of 118 % to 25 ppm acetone at a relatively low optimal working temperature of 175 °C, and a temperature-induced p–n junction shift at around 50 °C. It had an LOD of approximately 250 ppb and a linear sensing range that extended to 25 ppm. Notably, the sensor had a response time of approximately 52 s and a recovery time of around 14 s. These results suggest the potential of Fe-doped SnO2 sensors for acetone detection relevant to self-diagnosis and health monitoring.
{"title":"The role of chemisorption and physisorption in Fe-doped SnO2 acetone sensors","authors":"Yernar Shynybekov , Baktiyar Soltabayev , Almagul Mentbayeva , Amanzhol Turlybekuly","doi":"10.1016/j.sintl.2025.100359","DOIUrl":"10.1016/j.sintl.2025.100359","url":null,"abstract":"<div><div>The gas sensing mechanism is one of the most important parameters of chemiresistive gas sensors, and distinguishing them opens the possibility of manipulating sensor performance. In this study, we introduced the concept of adsorption-type contribution to the gas-sensing performance that could further enhance the fundamental understanding of gas-sensing mechanisms and aid future sensor development. The proposed concept was applied for the examination of Fe-doped SnO<sub>2</sub> gas sensors ionic obtained through the successive layer adsorption and reaction (SILAR) method. The 0.5 mol.% Fe-doped SnO<sub>2</sub> sensor demonstrated a sensing response of 118 % to 25 ppm acetone at a relatively low optimal working temperature of 175 °C, and a temperature-induced p–n junction shift at around 50 °C. It had an LOD of approximately 250 ppb and a linear sensing range that extended to 25 ppm. Notably, the sensor had a response time of approximately 52 s and a recovery time of around 14 s. These results suggest the potential of Fe-doped SnO<sub>2</sub> sensors for acetone detection relevant to self-diagnosis and health monitoring.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100359"},"PeriodicalIF":0.0,"publicationDate":"2025-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145516510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examines the impact of tether length on the mobility performance of a Remotely Operated Vehicle (ROV) in calm-water conditions. Field studies were executed at Laem Chabang Port, during which the ROV was utilized to navigate a 300-m trajectory while consistently documenting velocity and power usage. Results show that as the tether length increases, vehicle speed consistently decreases while power usage increases, indicating the effect of tether-induced hydrodynamic drag. Specifically, the velocity declined from 0.6706 m/s at the start to approximately 0.5500 m/s at 300 m, while power consumption rose from 0.7414 kW to around 0.778 kW. Linear regression was utilized to quantify these patterns, yielding two empirical models: V(x) = 0.6706−0.0003x and P(x) = 0.7414+(8 × 10−5)x, with x representing the tether length in meters. The models gave coefficients of determination of R2 = 0.5834 and R2 = 0.5965, respectively. This research presents one of the first empirical frameworks derived from in-field experimental trials to quantify performance degradation due to tether drag, thereby providing practical tools for energy budgeting and motion forecasting of stationary underwater vehicles in real-time operational planning. Unlike prior works relying mainly on simulations or analytical models, our study delivers regression-based predictive equations validated across different test sites. This contribution not only enhances operational readiness but also establishes a solid foundation for future investigations into nonlinear modeling and the development of adaptive control systems that incorporate tether dynamics to further improve predictive accuracy.
{"title":"The impact of cable length on the mobility performance of a remotely operated underwater vehicle (ROV)","authors":"Sarawuth Srinakaew , Jenjira sukmanee , Ramil Kesvarakul","doi":"10.1016/j.sintl.2025.100358","DOIUrl":"10.1016/j.sintl.2025.100358","url":null,"abstract":"<div><div>This study examines the impact of tether length on the mobility performance of a Remotely Operated Vehicle (ROV) in calm-water conditions. Field studies were executed at Laem Chabang Port, during which the ROV was utilized to navigate a 300-m trajectory while consistently documenting velocity and power usage. Results show that as the tether length increases, vehicle speed consistently decreases while power usage increases, indicating the effect of tether-induced hydrodynamic drag. Specifically, the velocity declined from 0.6706 m/s at the start to approximately 0.5500 m/s at 300 m, while power consumption rose from 0.7414 kW to around 0.778 kW. Linear regression was utilized to quantify these patterns, yielding two empirical models: V(x) = 0.6706−0.0003x and P(x) = 0.7414+(8 × 10−5)x, with x representing the tether length in meters. The models gave coefficients of determination of R<sup>2</sup> = 0.5834 and R<sup>2</sup> = 0.5965, respectively. This research presents one of the first empirical frameworks derived from in-field experimental trials to quantify performance degradation due to tether drag, thereby providing practical tools for energy budgeting and motion forecasting of stationary underwater vehicles in real-time operational planning. Unlike prior works relying mainly on simulations or analytical models, our study delivers regression-based predictive equations validated across different test sites. This contribution not only enhances operational readiness but also establishes a solid foundation for future investigations into nonlinear modeling and the development of adaptive control systems that incorporate tether dynamics to further improve predictive accuracy.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100358"},"PeriodicalIF":0.0,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-04DOI: 10.1016/j.sintl.2025.100357
Gunasekaran Thangavel , V. Joseph Michael Jerard , K. Manivannan , A.N. Sasikumar , Vairaprakash Selvaraj , Manjunathan Alagarsamy
Accurate hemoglobin measurement is essential for diagnosing hematological disorders and monitoring cardiovascular health. This study introduces a terahertz metasurface biosensor combined with machine learning algorithms for rapid and non-invasive hemoglobin detection in clinical settings. The metasurface exhibits dual-band resonance in 2 THz regions, achieving a sensitivity of 450 GHz/RIU within a refractive index range of 1.34–1.43 RIU, with corresponding frequency shifts of 40 GHz and 30 GHz. Machine learning models, including Random Forest, Support Vector Machines, and Neural Networks, enhance the sensor's analytical capability. Across four clinical categories—normal, mild anemia, moderate anemia, and severe anemia—the models attain 96.5 percent classification accuracy, with recall and precision scores above 0.94. Ensemble learning reduces the root mean square error to 0.28 g/dL, while denoising methods increase the signal-to-noise ratio by 16.3 dB. The biosensor supports real-time analysis, requires minimal sample volume, and eliminates complex preparation, making it suitable for continuous hemoglobin monitoring and cardiovascular health management.
{"title":"Simulation-driven dual-band Graphene–Silver terahertz metasurface biosensor integrated with machine learning for mode-resolved hemoglobin detection","authors":"Gunasekaran Thangavel , V. Joseph Michael Jerard , K. Manivannan , A.N. Sasikumar , Vairaprakash Selvaraj , Manjunathan Alagarsamy","doi":"10.1016/j.sintl.2025.100357","DOIUrl":"10.1016/j.sintl.2025.100357","url":null,"abstract":"<div><div>Accurate hemoglobin measurement is essential for diagnosing hematological disorders and monitoring cardiovascular health. This study introduces a terahertz metasurface biosensor combined with machine learning algorithms for rapid and non-invasive hemoglobin detection in clinical settings. The metasurface exhibits dual-band resonance in 2 THz regions, achieving a sensitivity of 450 GHz/RIU within a refractive index range of 1.34–1.43 RIU, with corresponding frequency shifts of 40 GHz and 30 GHz. Machine learning models, including Random Forest, Support Vector Machines, and Neural Networks, enhance the sensor's analytical capability. Across four clinical categories—normal, mild anemia, moderate anemia, and severe anemia—the models attain 96.5 percent classification accuracy, with recall and precision scores above 0.94. Ensemble learning reduces the root mean square error to 0.28 g/dL, while denoising methods increase the signal-to-noise ratio by 16.3 dB. The biosensor supports real-time analysis, requires minimal sample volume, and eliminates complex preparation, making it suitable for continuous hemoglobin monitoring and cardiovascular health management.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100357"},"PeriodicalIF":0.0,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.sintl.2025.100355
Eslam Sherif , Akram Khairi , Hussain Sajwani , Abdullah Solayman , Abdallah Mohammad Alkilany , Ahmed Awadalla , Mohamad Halwani , Laith AbuAssi , Dewald Swart , Abdulla Ayyad , Yahya Zweiri
Early detection of machining faults is critical to avoid damage to high-value workpieces, prevent tool failure, and mitigate safety risks in automated manufacturing environments. While robotic automation has advanced across manufacturing, aerospace machining remains difficult to automate due to strict quality requirements and the lack of intelligent, real-time fault monitoring. During machining, skilled human operators rely on their tactile perception to detect subtle faults such as tool wear, misalignment, or insufficient feed force through vibration cues. Replicating this level of high-resolution tactile fidelity in robotic systems remains a key challenge. We present an event Vision-Based Tactile Sensor (EVBTS) that enables robots to perceive and interpret machining vibrations with a human-like sense of touch. The sensor uses an event camera to observe a deformable, marker-embedded membrane, capturing fine-grained spatiotemporal deformation patterns with microsecond latency. This high-fidelity, biomimetic signal stream allows robotic systems to detect faults in machining dynamics. We evaluate EVBTS on a robotic drilling setup for aerospace nutplate installation, spanning 12 distinct machining conditions. A lightweight convolutional neural network, integrated into a real-time pipeline with Exponential Moving Average (EMA) filtering, achieves 98.56% classification test accuracy, a 98.11% test F1 score, and 100 ms inference latency. This pipeline demonstrates closed-loop feedback, successfully halting faulty operations mid-process to prevent defects. These results demonstrate that EVBTS enables real-time, high-resolution fault detection and intervention, allowing for early correction, much like a skilled human operator, supporting safer, more precise, and autonomous manufacturing.
{"title":"Real-Time Fault Detection in Robotic Manufacturing Using High-Bandwidth Event Vision-Based Tactile Sensing","authors":"Eslam Sherif , Akram Khairi , Hussain Sajwani , Abdullah Solayman , Abdallah Mohammad Alkilany , Ahmed Awadalla , Mohamad Halwani , Laith AbuAssi , Dewald Swart , Abdulla Ayyad , Yahya Zweiri","doi":"10.1016/j.sintl.2025.100355","DOIUrl":"10.1016/j.sintl.2025.100355","url":null,"abstract":"<div><div>Early detection of machining faults is critical to avoid damage to high-value workpieces, prevent tool failure, and mitigate safety risks in automated manufacturing environments. While robotic automation has advanced across manufacturing, aerospace machining remains difficult to automate due to strict quality requirements and the lack of intelligent, real-time fault monitoring. During machining, skilled human operators rely on their tactile perception to detect subtle faults such as tool wear, misalignment, or insufficient feed force through vibration cues. Replicating this level of high-resolution tactile fidelity in robotic systems remains a key challenge. We present an event Vision-Based Tactile Sensor (EVBTS) that enables robots to perceive and interpret machining vibrations with a human-like sense of touch. The sensor uses an event camera to observe a deformable, marker-embedded membrane, capturing fine-grained spatiotemporal deformation patterns with microsecond latency. This high-fidelity, biomimetic signal stream allows robotic systems to detect faults in machining dynamics. We evaluate EVBTS on a robotic drilling setup for aerospace nutplate installation, spanning 12 distinct machining conditions. A lightweight convolutional neural network, integrated into a real-time pipeline with Exponential Moving Average (EMA) filtering, achieves 98.56% classification test accuracy, a 98.11% test F1 score, and <span><math><mo><</mo></math></span>100 ms inference latency. This pipeline demonstrates closed-loop feedback, successfully halting faulty operations mid-process to prevent defects. These results demonstrate that EVBTS enables real-time, high-resolution fault detection and intervention, allowing for early correction, much like a skilled human operator, supporting safer, more precise, and autonomous manufacturing.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100355"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1016/j.sintl.2025.100356
Jessica Centracchio , Eliana Cinotti , Salvatore Parlato , Paolo Bifulco , Pasquale Zamboli , Rosalba Liguori , Giuseppe Longo , Massimo Punzi , Annalisa Liccardo , Francesco Bonavolontà , Giovanna Capolongo , Emilio Andreozzi
Arteriovenous fistulas (AVFs) are the preferred vascular accesses for hemodialysis and are made by anastomosing an artery and a vein. The arterial blood flowing into the anastomosed vein results in abnormal infrasonic and audible vibrations of venous walls, which produce tactile and audible sensations known as thrill and bruit sounds. Physical examination of AVFs is instrumental for early detection of stenoses, but it is operator-dependent. Several measurement systems have been proposed for quantitative analysis of bruit sounds, and only a few focused on thrill. However, none of these has demonstrated that the signals acquired correspond to the thrill and bruit sounds perceived by physicians.
This study presents, for the first time in literature, a novel AVF monitoring system that simultaneously records sphygmic pulses, thrills, and bruit sounds signals, also demonstrating that they share the same behaviors of tactile and audible sensations perceived by physicians. The proposed system is based on a small, non-invasive force sensor that captures both infrasonic and audible vibrations, and an ad hoc signal processing that accurately separates sphygmic pulses from thrills and bruit sounds. Experimental tests were carried out on 18 patients to assess two common behaviors observed during medical routine examinations. In particular, recordings were acquired on 3 measurement sites along the anastomosed vein, to verify the progressive amplitude reduction of thrill and bruit sounds from the anastomosis, and also their brisk amplitude reduction during vein occlusion tests. One-tailed Wilcoxon rank sum tests confirmed the expected amplitude reductions in both tests (p < 0.00001). In conclusion, the proposed AVF monitoring system accurately captures all vibrations produced by AVFs, which could be used to quantitatively evaluate the health status of patients and improve their surveillance.
{"title":"A novel system to record pulses, thrills, and bruit sounds generated by arteriovenous fistulas","authors":"Jessica Centracchio , Eliana Cinotti , Salvatore Parlato , Paolo Bifulco , Pasquale Zamboli , Rosalba Liguori , Giuseppe Longo , Massimo Punzi , Annalisa Liccardo , Francesco Bonavolontà , Giovanna Capolongo , Emilio Andreozzi","doi":"10.1016/j.sintl.2025.100356","DOIUrl":"10.1016/j.sintl.2025.100356","url":null,"abstract":"<div><div>Arteriovenous fistulas (AVFs) are the preferred vascular accesses for hemodialysis and are made by anastomosing an artery and a vein. The arterial blood flowing into the anastomosed vein results in abnormal infrasonic and audible vibrations of venous walls, which produce tactile and audible sensations known as thrill and bruit sounds. Physical examination of AVFs is instrumental for early detection of stenoses, but it is operator-dependent. Several measurement systems have been proposed for quantitative analysis of bruit sounds, and only a few focused on thrill. However, none of these has demonstrated that the signals acquired correspond to the thrill and bruit sounds perceived by physicians.</div><div>This study presents, for the first time in literature, a novel AVF monitoring system that simultaneously records sphygmic pulses, thrills, and bruit sounds signals, also demonstrating that they share the same behaviors of tactile and audible sensations perceived by physicians. The proposed system is based on a small, non-invasive force sensor that captures both infrasonic and audible vibrations, and an <em>ad hoc</em> signal processing that accurately separates sphygmic pulses from thrills and bruit sounds. Experimental tests were carried out on 18 patients to assess two common behaviors observed during medical routine examinations. In particular, recordings were acquired on 3 measurement sites along the anastomosed vein, to verify the progressive amplitude reduction of thrill and bruit sounds from the anastomosis, and also their brisk amplitude reduction during vein occlusion tests. One-tailed Wilcoxon rank sum tests confirmed the expected amplitude reductions in both tests (p < 0.00001). In conclusion, the proposed AVF monitoring system accurately captures all vibrations produced by AVFs, which could be used to quantitatively evaluate the health status of patients and improve their surveillance.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100356"},"PeriodicalIF":0.0,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-18DOI: 10.1016/j.sintl.2025.100354
B.V. Sreenivasappa , A.R. Shashikala
In this paper, a review on recent developments in materials and methodologies for metal oxide semiconductor liquefied petroleum gas sensors operating at room temperature is presented. The goal of this review is to identify various types of gas sensors, LPG sensing materials, preparation and fabrication methods, characterization to study on the properties of the materials and analysis on parameters at room temperature. The review also investigates advanced hybrid nanostructured materials, elemental modifications and doping processes to improve LPG sensor performance. Surface reactivity of the sensing material could be accelerated by the use of appropriate catalyst. The morphology of a material can be improved by various methods, including changing the synthesis conditions, adding additives to alter the material properties and functionality by modifying its size, shape, and structure at the nanoscale. This review also emphasizes the role of suitable dopants in changing bandgap of the materials.
{"title":"A review on recent developments in materials and methodologies for metal oxide semiconductor liquefied petroleum gas sensors operating at room temperature","authors":"B.V. Sreenivasappa , A.R. Shashikala","doi":"10.1016/j.sintl.2025.100354","DOIUrl":"10.1016/j.sintl.2025.100354","url":null,"abstract":"<div><div>In this paper, a review on recent developments in materials and methodologies for metal oxide semiconductor liquefied petroleum gas sensors operating at room temperature is presented. The goal of this review is to identify various types of gas sensors, LPG sensing materials, preparation and fabrication methods, characterization to study on the properties of the materials and analysis on parameters at room temperature. The review also investigates advanced hybrid nanostructured materials, elemental modifications and doping processes to improve LPG sensor performance. Surface reactivity of the sensing material could be accelerated by the use of appropriate catalyst. The morphology of a material can be improved by various methods, including changing the synthesis conditions, adding additives to alter the material properties and functionality by modifying its size, shape, and structure at the nanoscale. This review also emphasizes the role of suitable dopants in changing bandgap of the materials.</div></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":"7 ","pages":"Article 100354"},"PeriodicalIF":0.0,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}