Pub Date : 2020-10-25DOI: 10.1109/SENSORS47125.2020.9278884
B. B. Atitallah, Muhammed Bilal Abbasi, Rim Barioul, D. Bouchaala, N. Derbel, O. Kanoun
The tracking and prediction of gestures present a high interest in many applications such as Prosthesis control, robotic tele manipulation, and rehabilitation. The common challenge thereby is the acquisition of suitable signals related to muscles constructions and to identify the corresponding gestures. In this paper, an measurement band based on 8 FSR sensors is proposed for the monitoring of the forearm surface force distribution as a basis for detecting muscle contractions related to gesture. A measurement system realizing simultaneous data acquisition of all sensors has been developed based on Bit-banging over a SPI communication protocol in a Raspberry pi 3 B+ board and 8 external ADSs. To build a data basis, ten healthy male volunteers were asked to perform 11 gestures belonging to American Sign Language numbers (from 0 to 10). For a real time classification, an algorithm is developed based on the Extreme Learning Machine method. The results demonstrate the feasibility of monitoring 8 sensor values simultaneously every 6 ms. The classification accuracy reached 90.09% for all tests.
{"title":"Simultaneous Pressure Sensors Monitoring System for Hand Gestures Recognition","authors":"B. B. Atitallah, Muhammed Bilal Abbasi, Rim Barioul, D. Bouchaala, N. Derbel, O. Kanoun","doi":"10.1109/SENSORS47125.2020.9278884","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278884","url":null,"abstract":"The tracking and prediction of gestures present a high interest in many applications such as Prosthesis control, robotic tele manipulation, and rehabilitation. The common challenge thereby is the acquisition of suitable signals related to muscles constructions and to identify the corresponding gestures. In this paper, an measurement band based on 8 FSR sensors is proposed for the monitoring of the forearm surface force distribution as a basis for detecting muscle contractions related to gesture. A measurement system realizing simultaneous data acquisition of all sensors has been developed based on Bit-banging over a SPI communication protocol in a Raspberry pi 3 B+ board and 8 external ADSs. To build a data basis, ten healthy male volunteers were asked to perform 11 gestures belonging to American Sign Language numbers (from 0 to 10). For a real time classification, an algorithm is developed based on the Extreme Learning Machine method. The results demonstrate the feasibility of monitoring 8 sensor values simultaneously every 6 ms. The classification accuracy reached 90.09% for all tests.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"160 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":"134042295","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/SENSORS47125.2020.9278610
M. Carandell, D. Toma, J. Río, M. Gasulla
Maximum Power Point Tracking (MPPT) techniques for low-power pendulum-type Wave Energy Converters were evaluated. A Kinetic Energy Harvester previously designed, together with a Power Management Unit, were tested on a linear shaker to compare three MPPT techniques, the Constant Voltage versus two variants of the Fractional Open Circuit Voltage (FOCV). Results show a 25% improvement on the scavenged energy with one of the proposed FOCV techniques with respect to the other ones.
{"title":"Optimum MPPT Strategy for Low-Power Pendulum-Type Wave Energy Converters","authors":"M. Carandell, D. Toma, J. Río, M. Gasulla","doi":"10.1109/SENSORS47125.2020.9278610","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278610","url":null,"abstract":"Maximum Power Point Tracking (MPPT) techniques for low-power pendulum-type Wave Energy Converters were evaluated. A Kinetic Energy Harvester previously designed, together with a Power Management Unit, were tested on a linear shaker to compare three MPPT techniques, the Constant Voltage versus two variants of the Fractional Open Circuit Voltage (FOCV). Results show a 25% improvement on the scavenged energy with one of the proposed FOCV techniques with respect to the other ones.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"13 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":"131808807","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/SENSORS47125.2020.9278820
Arun Arun, S. Bhadra
This paper presents a smart eyeglass to monitor temporalis muscle movement for automatic food intake monitoring. The temple of the eyeglass is equipped with an accelerometer based sensing platform. The eyeglass is evaluated using four different classifiers for detection of chewing events during free-living studies. In addition, the in-lab studies are designed with two classifiers to detect chewing events and differentiate between various consumed foods based on their hardness. The system can achieve 86% accuracy, 82.14% precision, 85.49% recall and 82.23% F1-score for chewing detection in free living. For in lab studies, the system achieves 99.37% accuracy to detect chewing and 88% accuracy to differentiate between food based on hardness. The high accuracy results in both free living and in lab tests indicate that this eyeglass can be a preferable wearable to record food intake habits of people.
{"title":"An Accelerometer based EyeGlass to Monitor Food Intake in Free-Living and Lab Environment","authors":"Arun Arun, S. Bhadra","doi":"10.1109/SENSORS47125.2020.9278820","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278820","url":null,"abstract":"This paper presents a smart eyeglass to monitor temporalis muscle movement for automatic food intake monitoring. The temple of the eyeglass is equipped with an accelerometer based sensing platform. The eyeglass is evaluated using four different classifiers for detection of chewing events during free-living studies. In addition, the in-lab studies are designed with two classifiers to detect chewing events and differentiate between various consumed foods based on their hardness. The system can achieve 86% accuracy, 82.14% precision, 85.49% recall and 82.23% F1-score for chewing detection in free living. For in lab studies, the system achieves 99.37% accuracy to detect chewing and 88% accuracy to differentiate between food based on hardness. The high accuracy results in both free living and in lab tests indicate that this eyeglass can be a preferable wearable to record food intake habits of people.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"79 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":"132242228","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/SENSORS47125.2020.9278765
Alexander C. Abad, Daniel Swarup, David Reid, Anuradha Ranasinghe
This study presents a novel 4×4 fingertip tactile matrix actuator that can be strapped on a finger. It is made from Dot Braille cells purchased from Dot Inc., Korea. The prototype has a surface area of 1.08 cm2 with a pin pitch of 2.6 mm and operates at 5V supply. Each tactile pin can be controlled using an h-bridge motor driver and Arduino microcontroller. The tactile matrix is coupled with a tactile matrix simulator that scans a binary image or edges of an image using Canny edge detector. The simulator has 16 sections corresponding to the 16 actuator pins. The integration of the simulator to the hardware prototype allows the user to feel a binary image of a plane geometric figure or to feel the edges of an image as the scanning region of interest (ROI) moves across the visual screen. This fingertip tactile matrix display would be useful in many Virtual Reality (VR) applications to provide tactile feedback on the textures of virtual objects. Therefore, the authors suggest that this device will be beneficial in many applications such as virtual surgery, virtual fashion, remote sensing, and telerobotics.
{"title":"4×4 Fingertip Tactile Matrix Actuator with Edge Detection Scanning ROI Simulator","authors":"Alexander C. Abad, Daniel Swarup, David Reid, Anuradha Ranasinghe","doi":"10.1109/SENSORS47125.2020.9278765","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278765","url":null,"abstract":"This study presents a novel 4×4 fingertip tactile matrix actuator that can be strapped on a finger. It is made from Dot Braille cells purchased from Dot Inc., Korea. The prototype has a surface area of 1.08 cm2 with a pin pitch of 2.6 mm and operates at 5V supply. Each tactile pin can be controlled using an h-bridge motor driver and Arduino microcontroller. The tactile matrix is coupled with a tactile matrix simulator that scans a binary image or edges of an image using Canny edge detector. The simulator has 16 sections corresponding to the 16 actuator pins. The integration of the simulator to the hardware prototype allows the user to feel a binary image of a plane geometric figure or to feel the edges of an image as the scanning region of interest (ROI) moves across the visual screen. This fingertip tactile matrix display would be useful in many Virtual Reality (VR) applications to provide tactile feedback on the textures of virtual objects. Therefore, the authors suggest that this device will be beneficial in many applications such as virtual surgery, virtual fashion, remote sensing, and telerobotics.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"65 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":"134156928","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/SENSORS47125.2020.9278586
Daqian Cheng, Haowen Shi, M. Schwerin, Michelle Crivella, Lu Li, H. Choset
High-precision inspection and metrology in short-range and tight spaces are challenging due to the lack of a commercial off-the-shelf (COTS) 3D scanner that is compact and does not rely on any external infrastructure (e.g., fiducial markers, motion-capture cameras, or laser tracking interferometer) to provide positioning or localization support. This paper presents a hardware and software design framework for creating a low-cost, miniature, yet intelligent sensor that is able to capture visual imagery, reconstruct 3D geometry, and most importantly, perform Simultaneous Localization and Mapping (SLAM) without sensory feedback from external devices. We further present an example sensor design that follows this framework, with experiments to evaluate and compare the sensor performance against a state-of-the-art COTS sensor, under both feature-sparse and feature-dense scenarios to simulate industrial and household 3D scanning application scenarios.
{"title":"A Compact and Infrastructure-free Confined Space Sensor for 3D Scanning and SLAM","authors":"Daqian Cheng, Haowen Shi, M. Schwerin, Michelle Crivella, Lu Li, H. Choset","doi":"10.1109/SENSORS47125.2020.9278586","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278586","url":null,"abstract":"High-precision inspection and metrology in short-range and tight spaces are challenging due to the lack of a commercial off-the-shelf (COTS) 3D scanner that is compact and does not rely on any external infrastructure (e.g., fiducial markers, motion-capture cameras, or laser tracking interferometer) to provide positioning or localization support. This paper presents a hardware and software design framework for creating a low-cost, miniature, yet intelligent sensor that is able to capture visual imagery, reconstruct 3D geometry, and most importantly, perform Simultaneous Localization and Mapping (SLAM) without sensory feedback from external devices. We further present an example sensor design that follows this framework, with experiments to evaluate and compare the sensor performance against a state-of-the-art COTS sensor, under both feature-sparse and feature-dense scenarios to simulate industrial and household 3D scanning application scenarios.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"39 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":"134174070","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/SENSORS47125.2020.9278845
D. Vatanparvar, A. Shkel
In order to improve the angular rate sensitivity in Coriolis Vibratory Gyroscopes (CVG), an electrostatic frequency tuning mechanism is often used to reduce the split in the resonant frequency of gyroscopes. In this paper, the effect of the amplitude-frequency coupling, as a ramification of the electrostatic frequency tuning, on gyroscope operation in the open-loop angular rate mode is studied. We demonstrate that the amplitude-frequency coupling results in instability in the resonant frequency along the drive axis which degrades the noise performance of a CVG. We present a model that describes the non-linear dynamics of a gyroscope along the drive axis, including the amplitude-frequency coupling terms beyond the Duffing and quintic nonlinearity. Analytical equations were derived to estimate the correlation between frequency noise and amplitude noise. The non-linear electrostatic spring stiffness and the frequency noise in a Dual Foucault Pendulum (DFP) gyroscope were characterized and a good agreement with the predictive analytical model was observed. Our study suggests that as the required tuning voltage for mode-matching is increased, the frequency stability in the gyroscope degrades and the quadrature noise limits the noise performance of the gyroscope. In the case of the DFP gyroscope, we demonstrated that a reduction of the drive amplitude, which reduces the amplitude-frequency coupling, resulted in a 3 times improvement in the Angle Random Walk (ARW) and Bias Instability (BI).
{"title":"Instabilities due to Electrostatic Tuning of Frequency-Split in Coriolis Vibratory Gyroscopes","authors":"D. Vatanparvar, A. Shkel","doi":"10.1109/SENSORS47125.2020.9278845","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278845","url":null,"abstract":"In order to improve the angular rate sensitivity in Coriolis Vibratory Gyroscopes (CVG), an electrostatic frequency tuning mechanism is often used to reduce the split in the resonant frequency of gyroscopes. In this paper, the effect of the amplitude-frequency coupling, as a ramification of the electrostatic frequency tuning, on gyroscope operation in the open-loop angular rate mode is studied. We demonstrate that the amplitude-frequency coupling results in instability in the resonant frequency along the drive axis which degrades the noise performance of a CVG. We present a model that describes the non-linear dynamics of a gyroscope along the drive axis, including the amplitude-frequency coupling terms beyond the Duffing and quintic nonlinearity. Analytical equations were derived to estimate the correlation between frequency noise and amplitude noise. The non-linear electrostatic spring stiffness and the frequency noise in a Dual Foucault Pendulum (DFP) gyroscope were characterized and a good agreement with the predictive analytical model was observed. Our study suggests that as the required tuning voltage for mode-matching is increased, the frequency stability in the gyroscope degrades and the quadrature noise limits the noise performance of the gyroscope. In the case of the DFP gyroscope, we demonstrated that a reduction of the drive amplitude, which reduces the amplitude-frequency coupling, resulted in a 3 times improvement in the Angle Random Walk (ARW) and Bias Instability (BI).","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"2 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":"133896752","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/SENSORS47125.2020.9278726
F. Pennec, E. Amine, S. Bernardini, C. Perrin-Pellegrino, K. Aguir, M. Bendahan
A barium titanate thin film was deposited by drop coating for carbon dioxide detection. The measurements are based on a resistance change and provided a sensitive response to different CO2 concentrations under a humidity environment. The concentration measurement range was between 100 and 5000 ppm of CO2 in synthetic air, and likewise, the relative humidity was between 20 and 70%. The response and recovery times of the BaTiO3 based resistive sensors were determined to 2 min and 4 min, respectively, for 400 ppm of carbon dioxide and 50% relative humidity.
{"title":"BaTiO3 sensitive film enhancement for CO2 detection","authors":"F. Pennec, E. Amine, S. Bernardini, C. Perrin-Pellegrino, K. Aguir, M. Bendahan","doi":"10.1109/SENSORS47125.2020.9278726","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278726","url":null,"abstract":"A barium titanate thin film was deposited by drop coating for carbon dioxide detection. The measurements are based on a resistance change and provided a sensitive response to different CO2 concentrations under a humidity environment. The concentration measurement range was between 100 and 5000 ppm of CO2 in synthetic air, and likewise, the relative humidity was between 20 and 70%. The response and recovery times of the BaTiO3 based resistive sensors were determined to 2 min and 4 min, respectively, for 400 ppm of carbon dioxide and 50% relative humidity.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"38 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114038474","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/SENSORS47125.2020.9278717
Jingui Qian, Jifeng Ren, Yi Liu, Raymond H. W. Lam, Joshua E.-Y. Lee
We report the first demonstration of two-dimensional (2D) patterning of microparticles on a silicon superstrate via a plug-and-play reusable acoustofluidic setup. The proposed integrated device comprises two independent parts: (1) a silicon superstrate enclosed in a PDMS microfluidic chamber (containing the particles) and (2) a reusable lithium niobate (LN) piezoelectric substrate for generating standing surface acoustic waves (SSAW). The proposed method enables patterning of particles on a silicon superstrate with the aim of ultimately enabling 2D patterning of particles or cells on functional silicon micromechanical chips. Such a capability would enable functional applications such as diagnostics and biosensing. This contactless, label-free, low-cost technique would be widely employed in biological application regardless of shape, size, charge or polarity of samples.
{"title":"Reusable acoustic tweezers enable 2D patterning of microparticles in microchamber on a disposable silicon chip superstrate","authors":"Jingui Qian, Jifeng Ren, Yi Liu, Raymond H. W. Lam, Joshua E.-Y. Lee","doi":"10.1109/SENSORS47125.2020.9278717","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278717","url":null,"abstract":"We report the first demonstration of two-dimensional (2D) patterning of microparticles on a silicon superstrate via a plug-and-play reusable acoustofluidic setup. The proposed integrated device comprises two independent parts: (1) a silicon superstrate enclosed in a PDMS microfluidic chamber (containing the particles) and (2) a reusable lithium niobate (LN) piezoelectric substrate for generating standing surface acoustic waves (SSAW). The proposed method enables patterning of particles on a silicon superstrate with the aim of ultimately enabling 2D patterning of particles or cells on functional silicon micromechanical chips. Such a capability would enable functional applications such as diagnostics and biosensing. This contactless, label-free, low-cost technique would be widely employed in biological application regardless of shape, size, charge or polarity of samples.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"47 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":"114189202","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/SENSORS47125.2020.9278888
M. Kiuchi, Ryoma Miyake, S. Yoshida, Shuji Tanaka, Tsuyoshi Takemoto, Y. Yamaguchi, K. Komaki
Monocrystalline-like epitaxial PZT films for commercial use are described for piezoelectric MEMS applications. The composition ratios of Zr and Ti in the films are Morphotropic phase boundary (52:48) and Ti rich (42:58). The films with a thickness of 1 μm to 2 μm exhibit typical transverse piezoelectric d31 coefficients of -185 pm/V and -149 pm/V, respectively. Relative dielectric permittivities are 430 and 264. Dielectric losses are 0.015 and 0.020. Both of films of figure-of-merit for MEMS device are more than 50 GPa. These films are commercially available for piezoelectric MEMS device development and production.
{"title":"Commercial Production of Low-k PZT film using Sputtering Method","authors":"M. Kiuchi, Ryoma Miyake, S. Yoshida, Shuji Tanaka, Tsuyoshi Takemoto, Y. Yamaguchi, K. Komaki","doi":"10.1109/SENSORS47125.2020.9278888","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278888","url":null,"abstract":"Monocrystalline-like epitaxial PZT films for commercial use are described for piezoelectric MEMS applications. The composition ratios of Zr and Ti in the films are Morphotropic phase boundary (52:48) and Ti rich (42:58). The films with a thickness of 1 μm to 2 μm exhibit typical transverse piezoelectric d31 coefficients of -185 pm/V and -149 pm/V, respectively. Relative dielectric permittivities are 430 and 264. Dielectric losses are 0.015 and 0.020. Both of films of figure-of-merit for MEMS device are more than 50 GPa. These films are commercially available for piezoelectric MEMS device development and production.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"4 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":"114307226","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/SENSORS47125.2020.9278674
M. Bhattacharjee, P. Escobedo, R. Dahiya
Disposable and flexible sensors are needed in biomedical and healthcare applications because of hygiene requirements. At the same time, they should provide an affordable solution for point-of-care (POC) testing and large-scale deployment. In this view, herein we report flexible polyimide-based disposable sensor patch for the detection of a-amylase in blood serum. The concentration of a-amylase in blood serum is a potential indicator of health issues such as pancreatitis and pancreatic cancer and an affordable solution to detect its concentration could benefit many. Here, the detection is based on thermal Marangoni circulation inside a microfluidic droplet of starch-FeSO4 salt solution, which detects the a-amylase concentration upon addition of blood serum. It was observed that the temperature difference between the droplet substrate and ambient sets a thermal Marangoni and natural convections motion inside the droplet. The performance of the microdropletbased sensor was best at temperature difference (~18–20°C). The sensor is capable of detecting 20-110 units/liter concentration of α-amylase with ~80% change in the electrical resistance across the microdroplet (at ~40°C substrate temperature), and with a sensitivity of 0.88% (units/liter)-1. The response of the sensor was also compared with pathological laboratory results and both were found to be in agreement. The presented sensor has the potential to be used as a POC device for detecting α-amylase in real-time.
{"title":"Disposable and Flexible Sensor Patch for α-amylase Detection in Human Blood Serum","authors":"M. Bhattacharjee, P. Escobedo, R. Dahiya","doi":"10.1109/SENSORS47125.2020.9278674","DOIUrl":"https://doi.org/10.1109/SENSORS47125.2020.9278674","url":null,"abstract":"Disposable and flexible sensors are needed in biomedical and healthcare applications because of hygiene requirements. At the same time, they should provide an affordable solution for point-of-care (POC) testing and large-scale deployment. In this view, herein we report flexible polyimide-based disposable sensor patch for the detection of a-amylase in blood serum. The concentration of a-amylase in blood serum is a potential indicator of health issues such as pancreatitis and pancreatic cancer and an affordable solution to detect its concentration could benefit many. Here, the detection is based on thermal Marangoni circulation inside a microfluidic droplet of starch-FeSO4 salt solution, which detects the a-amylase concentration upon addition of blood serum. It was observed that the temperature difference between the droplet substrate and ambient sets a thermal Marangoni and natural convections motion inside the droplet. The performance of the microdropletbased sensor was best at temperature difference (~18–20°C). The sensor is capable of detecting 20-110 units/liter concentration of α-amylase with ~80% change in the electrical resistance across the microdroplet (at ~40°C substrate temperature), and with a sensitivity of 0.88% (units/liter)-1. The response of the sensor was also compared with pathological laboratory results and both were found to be in agreement. The presented sensor has the potential to be used as a POC device for detecting α-amylase in real-time.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"17 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":"117166933","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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