ECS sensors plus最新文献_第4页

Perspective-The Feasibility of Continuous Protein Monitoring in Interstitial Fluid. 透视间质液中蛋白质连续监测的可行性。

ECS sensors plus Pub Date : 2023-06-01 Epub Date: 2023-04-28 DOI: 10.1149/2754-2726/accd7e

Thomas Young, Vincent Clark, Netzahualcóyotl Arroyo-Currás, Jason Heikenfeld

引用次数: 1

Review—Basic and Advanced Inertial Navigation Fluid-Based Technology 综述-基于流体的基本和先进惯性导航技术

ECS sensors plus Pub Date : 2023-04-27 DOI: 10.1149/2754-2726/acd0c0

R. Elaswad, N. El-Sheimy, A. A. Mohamad

{"title":"Review—Basic and Advanced Inertial Navigation Fluid-Based Technology","authors":"R. Elaswad, N. El-Sheimy, A. A. Mohamad","doi":"10.1149/2754-2726/acd0c0","DOIUrl":"https://doi.org/10.1149/2754-2726/acd0c0","url":null,"abstract":"The article reviews most published inertial sensor technologies, including dynamically tuned, optical, MEMS vibratory, mechanical, solid-state, and fluid-based. The working principles of the technologies are elaborated. Also, the advantages and disadvantages of those sensors are laid out. Owing to its excellent overall performance, such as its simple structure, low cost, large measurement range, etc, the current review focuses on the state-of-the-art of fluid-based technology of accelerometers and gyroscopes. The sensing elements of the fluid-based technology that are used in the accelerometer and gyroscope are explained. Moreover, a comparison and analysis of those sensing elements are presented. The comparison shows that the thermal resistor has five orders of magnitude which is the highest dynamic range. However, the porous transducer is higher in bandwidth which is almost 120 Hz. Furthermore, the particle imaging velocimetry gyroscope (PIVG) is reviewed. The PIVG is an innovative technology that is used to measure the angular rate where fluid is used as proof of mass. The review shows that the PIVG is low-cost and almost drift-free. Additionally, compared to commercially available gyroscopes, PIVG provides a superior signal-to-noise ratio (SNR).","PeriodicalId":72870,"journal":{"name":"ECS sensors plus","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44581462","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}

引用次数: 0

Watch-Type Dual-Mode Wearable Health Device 手表型双模可穿戴健康设备

ECS sensors plus Pub Date : 2023-03-24 DOI: 10.1149/2754-2726/acc74d

Hyusim Park, Liem H. T. Nguyen, Shanthala Lakshminarayana, Yuze Sun, Sungyong Jung

{"title":"Watch-Type Dual-Mode Wearable Health Device","authors":"Hyusim Park, Liem H. T. Nguyen, Shanthala Lakshminarayana, Yuze Sun, Sungyong Jung","doi":"10.1149/2754-2726/acc74d","DOIUrl":"https://doi.org/10.1149/2754-2726/acc74d","url":null,"abstract":"Wearable devices can be found as numerous types of health devices ranging from monitoring hazardous environments to detecting physiological signals. Its utilities have also shown encouraging improvements toward personalized healthcare. Thus, many kinds of wearable health devices (WHD) have been reported and developed. Those reports highlight their efficiency in monitoring harmful environmental factors and various diseases for diagnostic and treatment purposes. This paper proposes a watch-type of dual-mode WHD that can perform gaseous phase detection to monitor dangerous environmental situations such as bad air quality and aqueous phase detection to measure physiological signals from human sweat or blood. The proposed system was fabricated on a printed circuit board and its size is 3 cm × 3 cm which is suitable as a wearable device. It also consumes very low power and has capabilities of wired/wireless charging and wired/wireless communication. Furthermore, customized windows and Android applications have been developed to visualize obtained data in a user’s computer or smartphone. The system was tested both electrically and chemically and showed promising results as the WHD.","PeriodicalId":72870,"journal":{"name":"ECS sensors plus","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46879189","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}

引用次数: 2

Modified Fe3O4 Magnetite Core@Shell Type Nanomaterials for Highly-Responsive LPG Sensing: A Comparative Analysis 用于高响应LPG传感的改性Fe3O4磁铁矿Core@Shell型纳米材料的比较分析

ECS sensors plus Pub Date : 2023-03-13 DOI: 10.1149/2754-2726/acc3ab

Shakti Singh, A. Dzeranov, L. Bondarenko, K. Kydralieva, G. Dzhardimalieva, A. Babaytsev, G. Kugabaeva, N. Golubeva, B. Yadav

{"title":"Modified Fe3O4 Magnetite Core@Shell Type Nanomaterials for Highly-Responsive LPG Sensing: A Comparative Analysis","authors":"Shakti Singh, A. Dzeranov, L. Bondarenko, K. Kydralieva, G. Dzhardimalieva, A. Babaytsev, G. Kugabaeva, N. Golubeva, B. Yadav","doi":"10.1149/2754-2726/acc3ab","DOIUrl":"https://doi.org/10.1149/2754-2726/acc3ab","url":null,"abstract":"The present work focuses on the synthesis of Fe3O4 magnetite core@shell type nanoparticles modified with three types of ligands: Magnetite with activated carbon (MAC), Magnetite with silica (tetraethoxysilane, TEOS, and 3-aminopropyltriethoxysilane, APTES) (MTA) and Magnetite with silica, APTES and humic acids (MTAH). The MTAH sample shows greater porosity in comparison to MTA, and MAC samples. The band gap of MTAH is 4.08 eV, which is higher than MTA (2.92 eV), and MAC (2.80 eV). Rietveld quantitative phase analysis of all derivatives was performed and compared with all three samples. The LPG sensing at room temperature shows the highest sensor response of 9.42, in comparison to 3.87 sensor response for MAC, and 4.60 for MTA. This approximately double sensor response increment is justified with the help of band gap, porosity, and size of all 3 the samples. The MTAH sample shows the lowest response-recovery time of 9.33 and 10.78 s respectively in comparison to MAC and MTA samples. In conclusion, this manuscript describes the synthesis procedure of different derivatives of Fe3O4 core@shell materials along with the relation of LPG sensing with different parameters of the materials.","PeriodicalId":72870,"journal":{"name":"ECS sensors plus","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49090336","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}

引用次数: 2

Progression in Quantum Sensing/Bio-Sensing Technologies for Healthcare 用于医疗保健的量子传感/生物传感技术进展

ECS sensors plus Pub Date : 2023-03-06 DOI: 10.1149/2754-2726/acc190

Vibhas Chugh, Adreeja Basu, A. Kaushik, A. Basu

引用次数: 10

Expanding the Monolayer Scope for Nucleic Acid-Based Electrochemical Sensors Beyond Thiols on Gold: Alkylphosphonic Acids on ITO. 扩大基于核酸的电化学传感器的单层范围，超越金上的硫醇:ITO上的烷基膦酸。

ECS sensors plus Pub Date : 2023-03-01 Epub Date: 2023-03-29 DOI: 10.1149/2754-2726/acc4d9

Alexander Shaver, Netzahualcóyotl Arroyo-Currás

{"title":"Expanding the Monolayer Scope for Nucleic Acid-Based Electrochemical Sensors Beyond Thiols on Gold: Alkylphosphonic Acids on ITO.","authors":"Alexander Shaver, Netzahualcóyotl Arroyo-Currás","doi":"10.1149/2754-2726/acc4d9","DOIUrl":"10.1149/2754-2726/acc4d9","url":null,"abstract":"<p><p>Electrochemical biosensors are a powerful and rapidly evolving molecular monitoring technology. Evidenced by the success of the continuous glucose monitor in managing Type 1 Diabetes, these sensors are capable of precise, accurate measurements in unprocessed biological environments. Nucleic acid-based electrochemical sensors (NBEs) are a specific type of biosensor that employs the target binding and conformational dynamics of nucleic acids for signal transduction. Currently, the vast majority of NBEs are fabricated via self-assembly of alkylthiols on Au electrodes. However, this architecture is limited in scope, as Au electrodes are not universally deployable for all potential NBE applications. Here, to expand the repertoire of materials on which NBEs can be made, we describe the multistep procedure for creating sensing monolayers of alkylphosphonic acids on a conductive oxide surface. Using such monolayers on indium tin oxide (ITO)-coated glass slides, we couple redox reporter-modified nucleic acids and demonstrate signaling of procaine-binding NBE sensors in buffer and human serum. We investigate the operational stability of these NBE sensors to reveal faster signal loss relative to benchmark thiol-on-gold sensing layers, a result that arises due to poor stability of the underlying ITO. Finally, we discuss future directions to continue expansion of NBE sensor materials and applications.</p>","PeriodicalId":72870,"journal":{"name":"ECS sensors plus","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053865/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10348772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Machine Learning Algorithms for Natural Gas Identification with Mixed Potential Electrochemical Sensor Arrays 混合电位电化学传感器阵列识别天然气的机器学习算法比较

ECS sensors plus Pub Date : 2023-02-22 DOI: 10.1149/2754-2726/acbe0c

Neal Ma, Sleight Halley, K. Ramaiyan, F. Garzon, L. Tsui

{"title":"Comparison of Machine Learning Algorithms for Natural Gas Identification with Mixed Potential Electrochemical Sensor Arrays","authors":"Neal Ma, Sleight Halley, K. Ramaiyan, F. Garzon, L. Tsui","doi":"10.1149/2754-2726/acbe0c","DOIUrl":"https://doi.org/10.1149/2754-2726/acbe0c","url":null,"abstract":"Mixed-potential electrochemical sensor arrays consisting of indium tin oxide (ITO), La0.87Sr0.13CrO3, Au, and Pt electrodes can detect the leaks from natural gas infrastructure. Algorithms are needed to correctly identify natural gas sources from background natural and anthropogenic sources such as wetlands or agriculture. We report for the first time a comparison of several machine learning methods for mixture identification in the context of natural gas emissions monitoring by mixed potential sensor arrays. Random Forest, Artificial Neural Network, and Nearest Neighbor methods successfully classified air mixtures containing only CH4, two types of natural gas simulants, and CH4+NH3 with >98% identification accuracy. The model complexity of these methods were optimized and the degree of robustness against overfitting was determined. Finally, these methods are benchmarked on both desktop PC and single-board computer hardware to simulate their application in a portable internet-of-things sensor package. The combined results show that the random forest method is the preferred method for mixture identification with its high accuracy (>98%), robustness against overfitting with increasing model complexity, and had less than 10 ms training time and less than 0.1 ms inference time on single-board computer hardware.","PeriodicalId":72870,"journal":{"name":"ECS sensors plus","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49121417","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}

引用次数: 1

The Era of Biosensors and Diagnostics 生物传感器和诊断的时代

ECS sensors plus Pub Date : 2023-01-23 DOI: 10.1149/2754-2726/acb3de

N. Arroyo-Currás

引用次数: 0

AI Enabled Ensemble Deep Learning Method for Automated Sensing and Quantification of DNA Damage in Comet Assay 人工智能集成深度学习方法用于彗星检测中DNA损伤的自动传感和量化

ECS sensors plus Pub Date : 2023-01-13 DOI: 10.1149/2754-2726/acb2da

Prateek Mehta, Srikanth Namuduri, L. Barbé, Stephanie Lam, Zohreh Faghihmonzavi, Vivek Kamat, S. Finkbeiner, S. Bhansali

{"title":"AI Enabled Ensemble Deep Learning Method for Automated Sensing and Quantification of DNA Damage in Comet Assay","authors":"Prateek Mehta, Srikanth Namuduri, L. Barbé, Stephanie Lam, Zohreh Faghihmonzavi, Vivek Kamat, S. Finkbeiner, S. Bhansali","doi":"10.1149/2754-2726/acb2da","DOIUrl":"https://doi.org/10.1149/2754-2726/acb2da","url":null,"abstract":"Comet assay is a widely used technique to assess and quantify DNA damage in individual cells. Recently, researchers have applied various deep learning techniques to automate the analysis of comet assay. Image analysis using deep learning allows combining multiple parameters of images and performing computation at a pixel level to provide quantifiable information about the comets. The current deep learning analysis algorithms use a single neural network as a standard method, which relies on many comet images and prone to high variance in predictions. Here, we propose a new ensemble model consisting of a collection of deep learning networks with different configurations and different initial random weights trained on the same dataset to calculate one weighted prediction for DNA damage quantification. To develop this model, we curated a trainable comet assay image dataset consisting of1309 images with 9204 extracted features of cell head and tail length, area, etc With the proposed method we could achieve significantly higher accuracy (R2 = 89.3%, compared to 74% with the standard single neural network as reported in data published by M. D. Zeiler and R Fergus (European conference on computer vision, pp. 818–833 2014). Furthermore, deep regression with the proposed architecture produced much more reliable and accurate results than conventional method.","PeriodicalId":72870,"journal":{"name":"ECS sensors plus","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48258673","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}

引用次数: 1

Perspective—Supercapacitor-Powered Flexible Wearable Strain Sensors 透视-超级电容器供电的柔性可穿戴应变传感器

ECS sensors plus Pub Date : 2023-01-12 DOI: 10.1149/2754-2726/acb27a

C. Manjunatha, K. Shwetha, Y. Athreya, S. G. Kumar, M. K. S. Kamath

引用次数: 7