Pub Date : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967041
Jacob Martin, Austin Downey, Mohammed Baalousha, S. Won
Wildfire ash plumes deposit magnetic particles (nanoscale and larger) into rivers and streams. Post-fire runoff contains increased levels of suspended particles and contaminants; including traces of metals, nutrients, and total suspended solids that affect the water quality and aquatic species. This work reports on a compact and portable Nuclear Magnetic Resonance (NMR) system capable of measuring the magnetic particle content in wildfire ash. The system is comprised of a custom NMR device with a specially designed permanent magnet that shapes the magnetic field to provide the basis of a compact and robust NMR-based sensing system for the future in-field measurements of ash in aqueous solutions. The system is set up to measure transverse relaxation processes and can acquire sufficient data in as little as two minutes. Experimental results confirmed the linear relationship between magnetic content in water and transverse relaxation rates, and can therefore be used as a method for estimating magnetic content in wildfire ash.
{"title":"Measurement of Magnetic Particle Concentrations in Wildfire Ash via Compact NMR","authors":"Jacob Martin, Austin Downey, Mohammed Baalousha, S. Won","doi":"10.1109/SENSORS52175.2022.9967041","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967041","url":null,"abstract":"Wildfire ash plumes deposit magnetic particles (nanoscale and larger) into rivers and streams. Post-fire runoff contains increased levels of suspended particles and contaminants; including traces of metals, nutrients, and total suspended solids that affect the water quality and aquatic species. This work reports on a compact and portable Nuclear Magnetic Resonance (NMR) system capable of measuring the magnetic particle content in wildfire ash. The system is comprised of a custom NMR device with a specially designed permanent magnet that shapes the magnetic field to provide the basis of a compact and robust NMR-based sensing system for the future in-field measurements of ash in aqueous solutions. The system is set up to measure transverse relaxation processes and can acquire sufficient data in as little as two minutes. Experimental results confirmed the linear relationship between magnetic content in water and transverse relaxation rates, and can therefore be used as a method for estimating magnetic content in wildfire ash.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131173968","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967061
K. Budidha, M. Thaha, M. Eschbach, E. Mejía-Mejía, P. Kyriacou
Intestinal resections are commonly performed to treat different colorectal conditions, including colorectal cancer. A successful primary anastomosis is the desired optimal outcome after intestinal resection. Maintaining adequate blood flow across the anastomosis is paramount for reducing anastomotic failure. Currently, there are no clinical devices capable of continuously assessing blood flow and blood perfusion at an anastomosis during and after surgery. The aim of this study was to develop an indwelling optical sensor for the monitoring of perfusion biomarkers using photoplethysmography and near-infrared spectroscopy principles. In an animal in-vivo proof-of-principle study, it was found that the developed sensor performed appropriately for the assessment of blood flow and perfusion in an anastomosis, showing changes in the assessed parameters after gradual devascularization of the transected bowel.
{"title":"Proof-of-principle validation of a novel intraluminal optical sensor for dynamic monitoring of intestinal anastomosis: An in vivo animal model case study","authors":"K. Budidha, M. Thaha, M. Eschbach, E. Mejía-Mejía, P. Kyriacou","doi":"10.1109/SENSORS52175.2022.9967061","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967061","url":null,"abstract":"Intestinal resections are commonly performed to treat different colorectal conditions, including colorectal cancer. A successful primary anastomosis is the desired optimal outcome after intestinal resection. Maintaining adequate blood flow across the anastomosis is paramount for reducing anastomotic failure. Currently, there are no clinical devices capable of continuously assessing blood flow and blood perfusion at an anastomosis during and after surgery. The aim of this study was to develop an indwelling optical sensor for the monitoring of perfusion biomarkers using photoplethysmography and near-infrared spectroscopy principles. In an animal in-vivo proof-of-principle study, it was found that the developed sensor performed appropriately for the assessment of blood flow and perfusion in an anastomosis, showing changes in the assessed parameters after gradual devascularization of the transected bowel.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131216008","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967278
Johanna Zikulnig, W. Mühleisen, M. Simor, Veronique Gevaerts, M. D. Biasio
Thin- film photovoltaics (PV), and in particular Copper Indium Gallium Selenide (CIGS) technologies, will play an important role in the turnaround in inevitable energy policy due to their high efficiencies, easy installation, high product flexibility, and a lower carbon footprint when compared to silicon solar cells. However, due to the delicate processing and associated costs in the manufacturing of CIGS cells, inline quality control during production is a hot topic for PV industry. In this work we demonstrate that photoluminescence (PL) imaging can be a powerful enabling technology for improving the process efficiency. Using Python based image processing and analysis, defects that lead to failure of individual cells can be detected early in the production process, which ultimately saves resources and costs by not further processing nonconformal batches.
{"title":"Photoluminescence Imaging for Industrial Quality Control during Manufacturing of Thin-Film Solar Cells","authors":"Johanna Zikulnig, W. Mühleisen, M. Simor, Veronique Gevaerts, M. D. Biasio","doi":"10.1109/SENSORS52175.2022.9967278","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967278","url":null,"abstract":"Thin- film photovoltaics (PV), and in particular Copper Indium Gallium Selenide (CIGS) technologies, will play an important role in the turnaround in inevitable energy policy due to their high efficiencies, easy installation, high product flexibility, and a lower carbon footprint when compared to silicon solar cells. However, due to the delicate processing and associated costs in the manufacturing of CIGS cells, inline quality control during production is a hot topic for PV industry. In this work we demonstrate that photoluminescence (PL) imaging can be a powerful enabling technology for improving the process efficiency. Using Python based image processing and analysis, defects that lead to failure of individual cells can be detected early in the production process, which ultimately saves resources and costs by not further processing nonconformal batches.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994286","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.10015718
T. Palinski, B. Guan, B. Bradshaw-Hajek, M. Lienhard, C. Priest, F. Miranda
An optofluidic sensor for rapid detection of gas-phase analytes from a flowing micro-volume fluid sample towards wearable colorimetric sensing is reported. The sensor is comprised of a metal-insulator-metal (MIM) thin-film structure integrated with a quartz micropillar array for improved delivery of vapor analytes onto the sensing surface. For our proof-of-principle demonstration, we utilized a poly(methyl methacrylate) (PMMA) spacer and evaluated its response to ethanol vapors that were delivered in close proximity to the sensing material via the micropillar array. It is demonstrated that the micropillar array reduces the sensor response time from minutes to seconds compared with experiments using a conventional chamber. The sensor’s concentration-dependent response also confirms its potential for continuous, compact, and quantitative colorimetric analysis of volatile analytes in low-volume samples.
{"title":"Fast Vapor Detection by a Micropillar Array-integrated Colorimetric Sensor","authors":"T. Palinski, B. Guan, B. Bradshaw-Hajek, M. Lienhard, C. Priest, F. Miranda","doi":"10.1109/SENSORS52175.2022.10015718","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.10015718","url":null,"abstract":"An optofluidic sensor for rapid detection of gas-phase analytes from a flowing micro-volume fluid sample towards wearable colorimetric sensing is reported. The sensor is comprised of a metal-insulator-metal (MIM) thin-film structure integrated with a quartz micropillar array for improved delivery of vapor analytes onto the sensing surface. For our proof-of-principle demonstration, we utilized a poly(methyl methacrylate) (PMMA) spacer and evaluated its response to ethanol vapors that were delivered in close proximity to the sensing material via the micropillar array. It is demonstrated that the micropillar array reduces the sensor response time from minutes to seconds compared with experiments using a conventional chamber. The sensor’s concentration-dependent response also confirms its potential for continuous, compact, and quantitative colorimetric analysis of volatile analytes in low-volume samples.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122048","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967311
Ralph Rudi Schmidt, J. Hildebrand, I. Kraljevski, Frank Duckhorn, Constanze Tschöpe
This paper demonstrates the use of acoustic emissions (AEs) to monitor the quality, and material used, for the laser additive manufacturing (LAM) process with steel and copper wire. Layers of deposited material (steel or copper) were created using LAM. The quality of these layers was either good or unstable. The AEs were recorded using three sensors, one microphone, and two structure-borne sound probes. The recorded signals were processed and transformed using the fast Fourier method. Then models were trained with the processed data and evaluated using a fivefold cross-validation. Results show that it is possible to accurately classify the materials used during LAM (up to a balanced accuracy [BAcc] score of 0.99). Also, the process quality could be classified with a BAcc score of up to 0.81. Overall, the results are promising, but further research and data collection are necessary for a proper validation of our results.
{"title":"A Study for Laser Additive Manufacturing Quality and Material Classification Using Machine Learning","authors":"Ralph Rudi Schmidt, J. Hildebrand, I. Kraljevski, Frank Duckhorn, Constanze Tschöpe","doi":"10.1109/SENSORS52175.2022.9967311","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967311","url":null,"abstract":"This paper demonstrates the use of acoustic emissions (AEs) to monitor the quality, and material used, for the laser additive manufacturing (LAM) process with steel and copper wire. Layers of deposited material (steel or copper) were created using LAM. The quality of these layers was either good or unstable. The AEs were recorded using three sensors, one microphone, and two structure-borne sound probes. The recorded signals were processed and transformed using the fast Fourier method. Then models were trained with the processed data and evaluated using a fivefold cross-validation. Results show that it is possible to accurately classify the materials used during LAM (up to a balanced accuracy [BAcc] score of 0.99). Also, the process quality could be classified with a BAcc score of up to 0.81. Overall, the results are promising, but further research and data collection are necessary for a proper validation of our results.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817111","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967239
Mingde Zheng, Hassan Jahanandish, Bibek R. Samanta
Electrically-stimulated sensors for spectroscopy and tomography have been widely adopted because they are non-invasive, relatively inexpensive, and straightforward in implementation. Despite decades of development, their widespread adoption is limited partly due to their low-spatial resolution. In this work, we propose a technique based on the electrical impedance tomography sensing principle without the image reconstruction and tomographic processing modules. By tailoring the stimulation and measurement protocols and evaluating the raw data output for markers of highly discernible patterns, we demonstrate the technique's ability in identifying minute object variance in key physical parameters such as movement, size, shape, and conductivity. With a bare-bones hardware system setup, we observed that raw impedance data are discernably sensitive to minute variations within a typical electrical impedance phantom. With generic machine learning models, we further reveal these signal patterns are autonomously classifiable at high accuracy, leading to a sensitive, and operationally simplistic sensing approach adaptable to applications such as biophysiological sensing.
{"title":"Imageless Electrical Impedance Tomography for Highly Sensitive Object Dynamics Detection","authors":"Mingde Zheng, Hassan Jahanandish, Bibek R. Samanta","doi":"10.1109/SENSORS52175.2022.9967239","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967239","url":null,"abstract":"Electrically-stimulated sensors for spectroscopy and tomography have been widely adopted because they are non-invasive, relatively inexpensive, and straightforward in implementation. Despite decades of development, their widespread adoption is limited partly due to their low-spatial resolution. In this work, we propose a technique based on the electrical impedance tomography sensing principle without the image reconstruction and tomographic processing modules. By tailoring the stimulation and measurement protocols and evaluating the raw data output for markers of highly discernible patterns, we demonstrate the technique's ability in identifying minute object variance in key physical parameters such as movement, size, shape, and conductivity. With a bare-bones hardware system setup, we observed that raw impedance data are discernably sensitive to minute variations within a typical electrical impedance phantom. With generic machine learning models, we further reveal these signal patterns are autonomously classifiable at high accuracy, leading to a sensitive, and operationally simplistic sensing approach adaptable to applications such as biophysiological sensing.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133048928","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967269
Che-Wei Chang, Jiun-Lin Yan, Chen-Nen Chang, K. Wen
Nowadays, foot gait analysis has been widely used in the diagnosis and treatment of neuromusculoskeletal diseases and has received much more attention. The motion of the human hip joint can be simplified into three degrees of freedom: flexionextension, exhibition-adduction, and internal-external rotation motion. We can encompass these types of hip movements by using four types of walking gait: normal walking, tandem walking, toe walking, and heel walking. In this paper, we proposed a real-time and applicable system, which has low computational complexity while maintaining high accuracy for four kinds of gait analysis and recognition with a single Inertial Measurement Unit (IMU) sensor. The orientation is estimated by fast complementary filter (FCF) and Attitude and heading reference system (AHRS). Then the linear acceleration is integrated twice and calculated many spatial-temporal parameters of gait can be obtained, and the zero velocity update (ZUPT) method is used to suppress the integral drift. Experimental results show that the error rate of the four type of walking stride length can reach 1.34%, 1.65%, 2.26%, 2.13% respectively. The system has a recognition accuracy rate of 83.3%. Implemented with TSMC 0.18 µm process. To achieve a low power design, set the clock frequency to 45 kHz. The performance of the chip achieves an area of 2.47 x 2.47 mm2 and a power consumption of 0.1198 mW.
目前，足部步态分析已广泛应用于神经肌肉骨骼疾病的诊断和治疗，受到越来越多的关注。人类髋关节的运动可以简化为三个自由度:屈伸、外展、内收和内外旋转运动。我们可以通过使用四种走路方式来包含这些类型的髋关节运动:正常走路，串联走路，脚趾走路和脚跟走路。本文提出了一种基于惯性测量单元(IMU)传感器的四种步态分析识别系统，该系统具有较低的计算复杂度和较高的精度。利用快速互补滤波(FCF)和姿态航向参考系统(AHRS)估计目标的方位。然后对线性加速度进行两次积分，计算得到步态的多个时空参数，并采用零速度更新(ZUPT)方法抑制积分漂移。实验结果表明，四种步行步幅的错误率分别达到1.34%、1.65%、2.26%、2.13%。该系统的识别准确率为83.3%。采用台积电0.18µm工艺实现。为了实现低功耗设计，将时钟频率设置为45khz。该芯片的性能达到2.47 x 2.47 mm2，功耗为0.1198 mW。
{"title":"IMU-Based Real Time Four Type Gait Analysis and Classification and Circuit Implementation","authors":"Che-Wei Chang, Jiun-Lin Yan, Chen-Nen Chang, K. Wen","doi":"10.1109/SENSORS52175.2022.9967269","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967269","url":null,"abstract":"Nowadays, foot gait analysis has been widely used in the diagnosis and treatment of neuromusculoskeletal diseases and has received much more attention. The motion of the human hip joint can be simplified into three degrees of freedom: flexionextension, exhibition-adduction, and internal-external rotation motion. We can encompass these types of hip movements by using four types of walking gait: normal walking, tandem walking, toe walking, and heel walking. In this paper, we proposed a real-time and applicable system, which has low computational complexity while maintaining high accuracy for four kinds of gait analysis and recognition with a single Inertial Measurement Unit (IMU) sensor. The orientation is estimated by fast complementary filter (FCF) and Attitude and heading reference system (AHRS). Then the linear acceleration is integrated twice and calculated many spatial-temporal parameters of gait can be obtained, and the zero velocity update (ZUPT) method is used to suppress the integral drift. Experimental results show that the error rate of the four type of walking stride length can reach 1.34%, 1.65%, 2.26%, 2.13% respectively. The system has a recognition accuracy rate of 83.3%. Implemented with TSMC 0.18 µm process. To achieve a low power design, set the clock frequency to 45 kHz. The performance of the chip achieves an area of 2.47 x 2.47 mm2 and a power consumption of 0.1198 mW.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"399 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132448786","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967192
L. Su, Pau Casacuberta, P. Vélez, J. Muñoz-Enano, M. Gil, F. Martín
This paper presents a submersible sensor devoted to the dielectric characterization of liquids and/or to the determination of liquid composition. The device is a one-port microwave permittivity sensor operating in reflective mode and implemented in microstrip technology. Particularly, the sensor consists of a step-impedance open-ended transmission line, and the sensing region, the one that should be in contact with the liquid under test (LUT), is the open-ended section. Such section is designed to exhibit an electrical length of roughly 90° at the operating frequency and a high characteristic impedance, since this enhances the sensitivity. In order to avoid substrate absorption, a PET film covers the sensing region, whereas the non-sensitive region of the device is coated with rubber and PLA in a mechanical arrangement (case) that prevents from liquid leakage to that region. The device exhibits good sensitivity, and it is validated by submersing it in various mixtures of DI water and ethanol.
{"title":"Reflective-Mode Submersible Microwave Sensor","authors":"L. Su, Pau Casacuberta, P. Vélez, J. Muñoz-Enano, M. Gil, F. Martín","doi":"10.1109/SENSORS52175.2022.9967192","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967192","url":null,"abstract":"This paper presents a submersible sensor devoted to the dielectric characterization of liquids and/or to the determination of liquid composition. The device is a one-port microwave permittivity sensor operating in reflective mode and implemented in microstrip technology. Particularly, the sensor consists of a step-impedance open-ended transmission line, and the sensing region, the one that should be in contact with the liquid under test (LUT), is the open-ended section. Such section is designed to exhibit an electrical length of roughly 90° at the operating frequency and a high characteristic impedance, since this enhances the sensitivity. In order to avoid substrate absorption, a PET film covers the sensing region, whereas the non-sensitive region of the device is coated with rubber and PLA in a mechanical arrangement (case) that prevents from liquid leakage to that region. The device exhibits good sensitivity, and it is validated by submersing it in various mixtures of DI water and ethanol.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127802868","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967265
Bang Hyun Lee, A. Aroche, S. Menegatti, Michael A. Daniele
Developing a simple and accurate method for monitoring the levels of circulating tacrolimus (TAC) can inform dosing schedule and reduce the risk of rejection in solid organ transplantation. Thus, an aptasensor was designed, fabricated, and characterized for electrochemical quantification of TAC concentration. The TAC-aptasensor comprised a gold electrode functionalized with a thiolated TAC-binding aptamer (APT122) derivatized with methylene blue. Surface plasmon resonance (SPR) was used to characterize the binding strength and specificity of the TAC:APT122 complex. Square wave voltammetry (SWV) was used to quantify the aptasensor response to varying concentrations of TAC. A dose-response curve was observed at concentrations of TAC < 7 µM, when operated at 50 and 80 Hz. Typical sensitivity of 0.07 µA· µM-1 was observed at 50 Hz. Limited specificity for the TAC aptasensors was observed with SWV against cyclosporine, amoxicillin, and tetracycline. Future efforts will explore a multi-aptamer system to extend the dynamic range and improve surface functionality to limit non-specific binding.
{"title":"Toward an Aptasensor for Monitoring of Tacrolimus","authors":"Bang Hyun Lee, A. Aroche, S. Menegatti, Michael A. Daniele","doi":"10.1109/SENSORS52175.2022.9967265","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967265","url":null,"abstract":"Developing a simple and accurate method for monitoring the levels of circulating tacrolimus (TAC) can inform dosing schedule and reduce the risk of rejection in solid organ transplantation. Thus, an aptasensor was designed, fabricated, and characterized for electrochemical quantification of TAC concentration. The TAC-aptasensor comprised a gold electrode functionalized with a thiolated TAC-binding aptamer (APT122) derivatized with methylene blue. Surface plasmon resonance (SPR) was used to characterize the binding strength and specificity of the TAC:APT122 complex. Square wave voltammetry (SWV) was used to quantify the aptasensor response to varying concentrations of TAC. A dose-response curve was observed at concentrations of TAC < 7 µM, when operated at 50 and 80 Hz. Typical sensitivity of 0.07 µA· µM-1 was observed at 50 Hz. Limited specificity for the TAC aptasensors was observed with SWV against cyclosporine, amoxicillin, and tetracycline. Future efforts will explore a multi-aptamer system to extend the dynamic range and improve surface functionality to limit non-specific binding.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127845069","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 : 2022-10-30DOI: 10.1109/SENSORS52175.2022.9967158
Ru Yin, G. Wei, Guishuai Zhang, ZhiQiang Zou, Zhilin Zhu, Jun Yu
Oysters have high nutritional value and will rapidly inactivated when they leave their native environment, which makes the detection and evaluation of oyster freshness value much. To make the oyster monitoring noninvasive, a distance-based freshness evaluation method by electronic nose is proposed. Oyster samples of different degrees of freshness at storage conditions were tested for 8 consecutive days using a laboratory-developed electronic nose. Features were extracted and downscaled by Principal Component Analysis (PCA). Taking the sample of day 1 as the base, the Euclidean distance between the samples of following days and the base was proposed as the degree of deviation of freshness. Results prove the method interesting to evaluate the oyster freshness noninvasive.
{"title":"A Distance Based Freshness Evaluation Method for Oyster Monitoring by Electronic Nose","authors":"Ru Yin, G. Wei, Guishuai Zhang, ZhiQiang Zou, Zhilin Zhu, Jun Yu","doi":"10.1109/SENSORS52175.2022.9967158","DOIUrl":"https://doi.org/10.1109/SENSORS52175.2022.9967158","url":null,"abstract":"Oysters have high nutritional value and will rapidly inactivated when they leave their native environment, which makes the detection and evaluation of oyster freshness value much. To make the oyster monitoring noninvasive, a distance-based freshness evaluation method by electronic nose is proposed. Oyster samples of different degrees of freshness at storage conditions were tested for 8 consecutive days using a laboratory-developed electronic nose. Features were extracted and downscaled by Principal Component Analysis (PCA). Taking the sample of day 1 as the base, the Euclidean distance between the samples of following days and the base was proposed as the degree of deviation of freshness. Results prove the method interesting to evaluate the oyster freshness noninvasive.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133716319","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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