Pub Date : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278851
Martina Zaltieri, E. D. Vita, Francesca De Tommasi, C. Massaroni, E. Faiella, B. Zobel, A. Iadicicco, E. Schena, R. Grasso, S. Campopiano
Thermal ablation procedures are gaining ever-growing acceptance in the treatment of hepatic tumors. In this context, the use of microwave ablation (MWA) has been firmly consolidated during the last decades. Being able to monitor the temperature increment within tissues undergoing MWA can be beneficial for improving the treatment outcome, especially for liver tissue which is notoriously not homogeneous and reports the presence of large vessels.In this work a multi-point temperature monitoring was performed on ex vivo liver tissue undergoing MWA. The aim was to investigate the transient phase of the tissue temperature in terms of the constant time (τ). The influence on τ of the following two aspects has been assessed: i) the blood perfusion due to the presence of a blood vessel and ii) the distance between the heat source (i.e., antenna) and the site where the temperature was measured. A power of 50 W was delivered for a treatment time of 480 s by means of a MW system. An aluminum duct providing a flowrate of 0.8 L•min-1 of water at 37 °C was inserted to mimic the presence of a blood vessel. A multi-point temperature measurement was carried out by using three fiber optics, each embedding an array of 10 fiber Bragg Grating (FBGs) sensors. The fibers were placed into the tissue sample at different distances from both the antenna and the blood vessel. The temperature variations (ΔT) recorded by the FBGs were then plotted, and τ values were calculated. The high dependence of the temperature transient dynamics on both the abovementioned distance and the presence of the vessel was found.
{"title":"Evaluation of the Thermal Response of Liver Tissue Undergoing Microwave Treatment by Means of Fiber Bragg Grating Sensors","authors":"Martina Zaltieri, E. D. Vita, Francesca De Tommasi, C. Massaroni, E. Faiella, B. Zobel, A. Iadicicco, E. Schena, R. Grasso, S. Campopiano","doi":"10.1109/SENSORS47125.2020.9278851","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278851","url":null,"abstract":"Thermal ablation procedures are gaining ever-growing acceptance in the treatment of hepatic tumors. In this context, the use of microwave ablation (MWA) has been firmly consolidated during the last decades. Being able to monitor the temperature increment within tissues undergoing MWA can be beneficial for improving the treatment outcome, especially for liver tissue which is notoriously not homogeneous and reports the presence of large vessels.In this work a multi-point temperature monitoring was performed on ex vivo liver tissue undergoing MWA. The aim was to investigate the transient phase of the tissue temperature in terms of the constant time (τ). The influence on τ of the following two aspects has been assessed: i) the blood perfusion due to the presence of a blood vessel and ii) the distance between the heat source (i.e., antenna) and the site where the temperature was measured. A power of 50 W was delivered for a treatment time of 480 s by means of a MW system. An aluminum duct providing a flowrate of 0.8 L•min-1 of water at 37 °C was inserted to mimic the presence of a blood vessel. A multi-point temperature measurement was carried out by using three fiber optics, each embedding an array of 10 fiber Bragg Grating (FBGs) sensors. The fibers were placed into the tissue sample at different distances from both the antenna and the blood vessel. The temperature variations (ΔT) recorded by the FBGs were then plotted, and τ values were calculated. The high dependence of the temperature transient dynamics on both the abovementioned distance and the presence of the vessel was found.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122719934","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278911
Christoph Voelkel, Tyler M. Lovelly, A. Pineda, Peter N. McMahon-Crabtree, G. Mounce
Event-based cameras are emerging as new potential solutions for a variety of sensing applications. However, their capabilities must be better characterized before deploying in real systems. This research presents a new methodology to measure power usage and sensitivity to movement for event- based cameras, demonstrated with the iniVation DAVIS346. Power is measured with strobing images ranging from 0% to 100% pixel activation and with real-time satellite imagery. Results demonstrate that power usage varies by up to ~1.3W depending on pixel activation. A space-based system is estimated to use ~3W with ~20% pixel activation. Sensitivity is measured with an object moving across the field of view at varying speeds, and it was found that the object needed to move at a minimum of ~1.44 pixels per second to be registered by the camera. These methods can be applied to other event-based cameras and results can inform decisions about how to best deploy in real systems.
{"title":"Measuring Power Usage and Sensitivity to Movement for Event-Based Cameras","authors":"Christoph Voelkel, Tyler M. Lovelly, A. Pineda, Peter N. McMahon-Crabtree, G. Mounce","doi":"10.1109/SENSORS47125.2020.9278911","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278911","url":null,"abstract":"Event-based cameras are emerging as new potential solutions for a variety of sensing applications. However, their capabilities must be better characterized before deploying in real systems. This research presents a new methodology to measure power usage and sensitivity to movement for event- based cameras, demonstrated with the iniVation DAVIS346. Power is measured with strobing images ranging from 0% to 100% pixel activation and with real-time satellite imagery. Results demonstrate that power usage varies by up to ~1.3W depending on pixel activation. A space-based system is estimated to use ~3W with ~20% pixel activation. Sensitivity is measured with an object moving across the field of view at varying speeds, and it was found that the object needed to move at a minimum of ~1.44 pixels per second to be registered by the camera. These methods can be applied to other event-based cameras and results can inform decisions about how to best deploy in real systems.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125188307","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278862
R. V. Dommelen, Julien Berger, R. Haque, M. Binelli, G. Siqueira, A. Studart, D. Briand
Recent advances in 3D printing techniques are allowing for new ways to manufacture sensors with materials and geometries previously not exploited. In this work we present a fabrication approach for fully 3D printed soft mechanical pressure sensors, as well as their characterisation. These sensors were created out of soft materials only using the Direct Ink Writing (DIW) printing technique. The applicability of both piezoresistive and capacitive transducing mechanisms were evaluated for the sensing of normal pressures. The produced sensors were tested by means of automated mechanical tests and compared based on their performance. In this way, we determined and analysed both their static and dynamic behaviours.
{"title":"Fully 3D Printed Mechanical Pressure Sensors: A Comparison of Sensing Mechanisms","authors":"R. V. Dommelen, Julien Berger, R. Haque, M. Binelli, G. Siqueira, A. Studart, D. Briand","doi":"10.1109/SENSORS47125.2020.9278862","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278862","url":null,"abstract":"Recent advances in 3D printing techniques are allowing for new ways to manufacture sensors with materials and geometries previously not exploited. In this work we present a fabrication approach for fully 3D printed soft mechanical pressure sensors, as well as their characterisation. These sensors were created out of soft materials only using the Direct Ink Writing (DIW) printing technique. The applicability of both piezoresistive and capacitive transducing mechanisms were evaluated for the sensing of normal pressures. The produced sensors were tested by means of automated mechanical tests and compared based on their performance. In this way, we determined and analysed both their static and dynamic behaviours.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126123999","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278939
Jacob Dawes, Jinwon Kim, M. Johnston
Recent developments in impedance-based flow cytometry have shown it to be a promising alternative to conventional optical approaches for point-of-care (POC) applications. While analysis tools such as finite element analysis provide unique insight for designers of such systems, they provide limited utility for system-level design and are computationally prohibitive for large design space explorations. In this work, an electrical model is presented for resistive impedance-based cytometry to inform system-level design choices such as bandwidth requirements and to provide a flexible way of simulating particle transits for arbitrary arrangements of particles and electrodes. The model is validated using measured results from a microfluidic flow cell.
{"title":"Modeling and Design Considerations for Resistive Impedance-Based Flow Cytometry","authors":"Jacob Dawes, Jinwon Kim, M. Johnston","doi":"10.1109/SENSORS47125.2020.9278939","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278939","url":null,"abstract":"Recent developments in impedance-based flow cytometry have shown it to be a promising alternative to conventional optical approaches for point-of-care (POC) applications. While analysis tools such as finite element analysis provide unique insight for designers of such systems, they provide limited utility for system-level design and are computationally prohibitive for large design space explorations. In this work, an electrical model is presented for resistive impedance-based cytometry to inform system-level design choices such as bandwidth requirements and to provide a flexible way of simulating particle transits for arbitrary arrangements of particles and electrodes. The model is validated using measured results from a microfluidic flow cell.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126306814","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278701
A. Rathnayaka, M. Mamun, Fan Wu, S. Curtis, A. Stewardson, M. Yuce
The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed.
{"title":"Protecting Health Care Workers from Infectious Diseases using Physical Proximity Networks (PPN)","authors":"A. Rathnayaka, M. Mamun, Fan Wu, S. Curtis, A. Stewardson, M. Yuce","doi":"10.1109/SENSORS47125.2020.9278701","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278701","url":null,"abstract":"The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129786591","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278707
Max Stapelfeld, F. Schmidl, P. Seidel, Sabine Stück, V. Tympel, T. Stöhlker, D. Haider, M. Schwickert, T. Sieber, M. Schmelz, T. Schönau, R. Stolz
Cryogenic Current Comperators (CCC) are an innovative concept for non-destructive measurements of nA currents caused by moving charged particles in beam lines. Classical CCC designs consist of a toroidal pickup coil around a highly magnetic permeable core inductively coupled to a Direct Current Superconducting Quantum Interference Device (DC-SQUID) in combination with a meander shaped superconducting shield. Previous experiments have shown that increasing the inductance of the pickup coil by utilizing a larger amount of the same ring core material reduces the noise density by the square root of the inductance change. We introduce a novel prototype, the Dual-CCC (DCCC), which doubles the pickup inductance in respect to the previous design by adding a second identical core with a second pickup coil and SQUID, which can be read out independently. The combined output exhibits a current sensitivity of about 2 pAHz−1/2 in the white noise region.
{"title":"The Dual-Cryogenic Current Comperator (DCCC) as a new Prototype CCC for Beamline Monitoring","authors":"Max Stapelfeld, F. Schmidl, P. Seidel, Sabine Stück, V. Tympel, T. Stöhlker, D. Haider, M. Schwickert, T. Sieber, M. Schmelz, T. Schönau, R. Stolz","doi":"10.1109/SENSORS47125.2020.9278707","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278707","url":null,"abstract":"Cryogenic Current Comperators (CCC) are an innovative concept for non-destructive measurements of nA currents caused by moving charged particles in beam lines. Classical CCC designs consist of a toroidal pickup coil around a highly magnetic permeable core inductively coupled to a Direct Current Superconducting Quantum Interference Device (DC-SQUID) in combination with a meander shaped superconducting shield. Previous experiments have shown that increasing the inductance of the pickup coil by utilizing a larger amount of the same ring core material reduces the noise density by the square root of the inductance change. We introduce a novel prototype, the Dual-CCC (DCCC), which doubles the pickup inductance in respect to the previous design by adding a second identical core with a second pickup coil and SQUID, which can be read out independently. The combined output exhibits a current sensitivity of about 2 pAHz−1/2 in the white noise region.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129691910","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278864
S. Gurbuz, A. Gürbüz, E. Malaia, Darrin J. Griffin, Chris S. Crawford, Emre Kurtoğlu, Mohammad Mahbubur Rahman, Ridvan Aksu, Robiulhossain Mdrafi
As a means for leveraging technology in the design of Deaf spaces, this paper presents initial results on American Sign Language (ASL) recognition using RF sensing. RF sensors are non-contact, non-invasive, and protective of privacy, making them of special interest for use in personal areas. Using just the kinematic properties of signing as captured by the micro-Doppler signatures of a multi-frequency RF sensor network, this paper shows that native and imitation signing can be differentiated with %99 accuracy, while up to 20 ASL signs are recognized with an accuracy of %72 or higher.
{"title":"ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network","authors":"S. Gurbuz, A. Gürbüz, E. Malaia, Darrin J. Griffin, Chris S. Crawford, Emre Kurtoğlu, Mohammad Mahbubur Rahman, Ridvan Aksu, Robiulhossain Mdrafi","doi":"10.1109/SENSORS47125.2020.9278864","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278864","url":null,"abstract":"As a means for leveraging technology in the design of Deaf spaces, this paper presents initial results on American Sign Language (ASL) recognition using RF sensing. RF sensors are non-contact, non-invasive, and protective of privacy, making them of special interest for use in personal areas. Using just the kinematic properties of signing as captured by the micro-Doppler signatures of a multi-frequency RF sensor network, this paper shows that native and imitation signing can be differentiated with %99 accuracy, while up to 20 ASL signs are recognized with an accuracy of %72 or higher.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129521845","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278673
A. Gueddida, Y. Pennec, S. Hémon, F. Lucklum, M. Vellekoop, N. Mukhin, R. Lucklum, B. Bonello, B. Djafari-Rouhani
We present a theoretical investigation of the dispersion and transmission properties of a tubular phononic crystal for sensing application. We show the existence of modes confined in a cavity with displacement field spreading over both the solid and fluid parts. Therefore, the frequency of the transmission peak associated to this mode should be sensitive to the sound velocity of the fluid filling the tube.
{"title":"Numerical Analysis of a Tubular Phononic Crystal Sensor","authors":"A. Gueddida, Y. Pennec, S. Hémon, F. Lucklum, M. Vellekoop, N. Mukhin, R. Lucklum, B. Bonello, B. Djafari-Rouhani","doi":"10.1109/SENSORS47125.2020.9278673","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278673","url":null,"abstract":"We present a theoretical investigation of the dispersion and transmission properties of a tubular phononic crystal for sensing application. We show the existence of modes confined in a cavity with displacement field spreading over both the solid and fluid parts. Therefore, the frequency of the transmission peak associated to this mode should be sensitive to the sound velocity of the fluid filling the tube.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130866365","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278683
Sruthy Skaria, Da Huang, A. Al-Hourani, R. Evans, M. Lech
In this paper, we present a framework for integrating two different types of sensors for hand-gesture recognition using deep-learning. The two sensors utilize completely different approaches for detecting the signal, namely; an ultra-wideband (UWB) impulse radar sensor and a thermal sensor. For robust gesture classification two parallel paths are utilized, each employs a combination of a convolutional neural network (CNN) and a long short-term memory (LSTM) network on both the radar signal and the thermal signal. The classification results from the two paths are then fused to improve the overall detection probability. The two sensors compliment the capability of each other; while the UWB radar is accurate for radial movement and less accurate for lateral movement, the thermal sensor is vice-versa. Thus, we find that combining both sensors produces near perfect classification accuracy of 99 % for 14 different hand-gestures.
{"title":"Deep-Learning for Hand-Gesture Recognition with Simultaneous Thermal and Radar Sensors","authors":"Sruthy Skaria, Da Huang, A. Al-Hourani, R. Evans, M. Lech","doi":"10.1109/SENSORS47125.2020.9278683","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278683","url":null,"abstract":"In this paper, we present a framework for integrating two different types of sensors for hand-gesture recognition using deep-learning. The two sensors utilize completely different approaches for detecting the signal, namely; an ultra-wideband (UWB) impulse radar sensor and a thermal sensor. For robust gesture classification two parallel paths are utilized, each employs a combination of a convolutional neural network (CNN) and a long short-term memory (LSTM) network on both the radar signal and the thermal signal. The classification results from the two paths are then fused to improve the overall detection probability. The two sensors compliment the capability of each other; while the UWB radar is accurate for radial movement and less accurate for lateral movement, the thermal sensor is vice-versa. Thus, we find that combining both sensors produces near perfect classification accuracy of 99 % for 14 different hand-gestures.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131290217","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 : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278742
R. Massey, R. Amache, Siziwe Bebe, R. Prakash
The impetus to power wearable or miniaturized sensors has led to interest in the Double Layer Capacitor (DLC), a small footprint (ecologically and physically) energy storage device with the optimal benefits of high energy and power density. DLCs leverage complex double layer capacitances dictated by material and electrolyte-interface properties. Moreover, DLC operation is analogous to the sensing mechanism of our reported Organic Electrolyte Gated Field Effect Transistor (OEGFET) biosensor. In this work, we present a comprehensive modelling approach for Bio-electrolyte DLCs (Bio-EDLC) to accurately simulate them as electronic circuit components. This model can further be extended to predict the transient characteristics of our OEGFET Biosensors. We evaluate three common DLC equivalent models — the Classical Equivalent model, Zubieta model and Two-Branch model — to determine which most accurately captures the charge storage characteristics of our novel planar Bio-EDLC, containing a Carrageenan:PVA:Agarose (16:8:1) polymer-blended bioelectrolyte. We establish that Zubieta model most effectively captures the complex internal electrochemistry of these systems, predicting the transient characteristics with a 0.7% standard error (Classical Equivalent: 5.0%; Two-Branch: 1.7%).
{"title":"A Comprehensive Modelling Approach for Bio-EDLC systems","authors":"R. Massey, R. Amache, Siziwe Bebe, R. Prakash","doi":"10.1109/SENSORS47125.2020.9278742","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278742","url":null,"abstract":"The impetus to power wearable or miniaturized sensors has led to interest in the Double Layer Capacitor (DLC), a small footprint (ecologically and physically) energy storage device with the optimal benefits of high energy and power density. DLCs leverage complex double layer capacitances dictated by material and electrolyte-interface properties. Moreover, DLC operation is analogous to the sensing mechanism of our reported Organic Electrolyte Gated Field Effect Transistor (OEGFET) biosensor. In this work, we present a comprehensive modelling approach for Bio-electrolyte DLCs (Bio-EDLC) to accurately simulate them as electronic circuit components. This model can further be extended to predict the transient characteristics of our OEGFET Biosensors. We evaluate three common DLC equivalent models — the Classical Equivalent model, Zubieta model and Two-Branch model — to determine which most accurately captures the charge storage characteristics of our novel planar Bio-EDLC, containing a Carrageenan:PVA:Agarose (16:8:1) polymer-blended bioelectrolyte. We establish that Zubieta model most effectively captures the complex internal electrochemistry of these systems, predicting the transient characteristics with a 0.7% standard error (Classical Equivalent: 5.0%; Two-Branch: 1.7%).","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131317710","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}
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