IEEE Open Journal of Instrumentation and Measurement最新文献

Characterizing the Real-Time Communication Performance of Virtual PLC in Industrial Edge Platform 工业边缘平台中虚拟PLC实时通信性能的表征

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-04-11 DOI: 10.1109/OJIM.2025.3559573

Massimiliano Gaffurini;Dennis Brandão;Stefano Rinaldi;Alessandra Flammini;Emiliano Sisinni;Paolo Ferrari

{"title":"Characterizing the Real-Time Communication Performance of Virtual PLC in Industrial Edge Platform","authors":"Massimiliano Gaffurini;Dennis Brandão;Stefano Rinaldi;Alessandra Flammini;Emiliano Sisinni;Paolo Ferrari","doi":"10.1109/OJIM.2025.3559573","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3559573","url":null,"abstract":"The integration of virtual programmable logic controllers (vPLCs) into industrial automation systems introduces the potential for enhanced maintainability and scalability through container-based automation. Unlike traditional hardware-based PLCs, vPLCs operate within edge computing environments, leveraging lightweight virtualization to provide flexibility and support modern microservices architectures. However, the open question is: can vPLCs meet the stringent real-time performance requirements of industrial control applications, particularly in communication with sensors and actuators? This article objective is to fill this gap. Differently from other works in the literature, the performance of the real-time data exchange between vPLCs and sensors/actuators is evaluated. In particular, this article presents and describes a methodology designed for comparing real PLC and vPLC in real-time industrial automation scenarios. The methodology includes the definition of specific performance metrics, the design of a standardized experimental setup to characterize both device real-time performance and uncertainty sources, and the development of analytical models to support simulations and digital twin applications. The proposed method of comparison is demonstrated in a reference use case, including real-time Ethernet connectivity; results lead to: 1) important conclusions about methodology effectiveness and 2) the analytical model of the considered use case. In detail, the analysis indicates that vPLCs exhibit approximately 50% higher jitter, suggesting a minimum recommended PROFINET cycle time of 2 ms for optimal performance. The findings contribute to the broader understanding of vPLC capabilities in industrial automation, offering practical insights for industries aiming to transition to modern, containerized control systems without compromising real-time communication performance.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10963754","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143892503","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

Analysis of Partial Discharges in Oil-Impregnated Transformer Paper Insulation and PET-G Insulation 油浸变压器纸绝缘和PET-G绝缘局部放电分析

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-28 DOI: 10.1109/OJIM.2025.3555323

Sayed Mohammad Kameli;Abdelaziz Abuelrub;Mohammad AlShaikh Saleh;Shady S. Refaat;Ali Ghrayeb;Haitham Abu-Rub;Marek Olesz

{"title":"Analysis of Partial Discharges in Oil-Impregnated Transformer Paper Insulation and PET-G Insulation","authors":"Sayed Mohammad Kameli;Abdelaziz Abuelrub;Mohammad AlShaikh Saleh;Shady S. Refaat;Ali Ghrayeb;Haitham Abu-Rub;Marek Olesz","doi":"10.1109/OJIM.2025.3555323","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3555323","url":null,"abstract":"Partial discharge (PD) is a widespread phenomenon instigated in power transformer (PT) insulation systems. PDs are triggered by voids that vary in size and position within the PT insulation. The electrical characteristics of those damaging, PD-causing cavities must be well understood, to accelerate the development of advanced PD detection techniques. Thus, the impact of varying the radius and position of spherical air voids on the characteristics of PDs in PTs is examined using a 3-D finite element analysis (FEA) model designed in COMSOL Multiphysics. The spherical voids are positioned between two windings of a 512 kV, three-phase (3<inline-formula> <tex-math>$varphi $ </tex-math></inline-formula>) PT. The peak electric field (EF) and aggregate energy in the FEA model are used in conjunction with laboratory measurements of the apparent discharge magnitude, for detailed analysis of Polyethylene Terephthalate Glycol (PET-G)-based cylindrical voids with different heights. Simulations demonstrate that the inception of PD activity in the PT model occurs for spherical voids with a radius exceeding 1 mm. Furthermore, the most severe PDs occur within the press-board insulation, adjacent to the uppermost part of the innermost windings. Experiments demonstrate that a significant increase in PD activity was observed for PET-G-based cylindrical voids with heights exceeding 1 mm.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10943204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913403","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

Real-Time Player Engagement Measurement Using Nonintrusive Game Telemetry 使用非侵入式游戏遥测技术测量实时玩家粘性

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-27 DOI: 10.1109/OJIM.2025.3555326

Ammar Rashed;Shervin Shirmohammadi;Mohamed Hefeeda

{"title":"Real-Time Player Engagement Measurement Using Nonintrusive Game Telemetry","authors":"Ammar Rashed;Shervin Shirmohammadi;Mohamed Hefeeda","doi":"10.1109/OJIM.2025.3555326","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3555326","url":null,"abstract":"Player engagement is crucial for the success of modern video games, yet its real-time measurement remains challenging due to the intrusive nature of traditional measurement methods. In this article, we present a novel framework for nonintrusive, real-time, and indirect measurement of engagement in multiplayer online games based on flow theory. Our approach combines graph convolutional networks for modeling player interactions with Transformer networks for temporal processing, enabling indirect measurement of both player skill and game challenge, which in turn are used to classify player engagement. Using playerunknown’s battlegrounds (PUBGs) as a case study, we demonstrate that our framework can effectively measure phase-specific engagement using one minute of gameplay telemetry data. Our framework achieves 73% accuracy and 0.83 ROC-AUC in engagement classification, matching the performance of traditional survey-based methods while operating nonintrusively and in real time. Further cross-domain validation of the framework, as is and without transfer learning, with the games FIFA’23 and Street Fighter V, leads to 66% accuracy, demonstrating the model’s stable performance despite the significant differences in the test domains. Interestingly, our results suggest that objective gameplay metrics may better reflect engagement than subjective player assessments, with skill estimates showing significant correlation with self-reports.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10943161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875213","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

Analyzing Random Forest’s Predictive Capability for Type 1 Diabetes Progression 随机森林对1型糖尿病进展的预测能力分析

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-17 DOI: 10.1109/OJIM.2025.3551837

Niels F. Cleymans;Mark Van De Casteele;Julie Vandewalle;Aster K. Desouter;Frans K. Gorus;Kurt Barbé

{"title":"Analyzing Random Forest’s Predictive Capability for Type 1 Diabetes Progression","authors":"Niels F. Cleymans;Mark Van De Casteele;Julie Vandewalle;Aster K. Desouter;Frans K. Gorus;Kurt Barbé","doi":"10.1109/OJIM.2025.3551837","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3551837","url":null,"abstract":"Type 1 diabetes (T1Ds) is a chronic, for now, incurable multifactorial disease caused by the immune-mediated destruction of insulin-producing pancreatic <inline-formula> <tex-math>$beta $ </tex-math></inline-formula>-cells, causing devastating and costly acute and chronic complications, despite lifelong insulin treatment. Abrupt clinical onset is preceded by an asymptomatic disease phase of highly variable duration which is marked by the sequential appearance of various types of <inline-formula> <tex-math>$beta $ </tex-math></inline-formula>-cell autoantibodies (AAbs). Optimized predictions of time to clinical onset facilitate early diagnosis which is also key to reducing the incidence of inaugural life-threatening diabetic ketoacidosis and planning novel prevention trials in the asymptomatic stage. Research in first-degree relatives of known T1D patients has shown that disease progression can be predicted by genetic and immune biomarkers, but these predictions are limited by using the traditional statistical approaches such as Cox regression models. This explorative study aims to uncover the potential of random forest machine learning algorithms as survival models within the biomedical context of T1D. Two random forest survival models were constructed in R. The first constructed model predicts how long it will take for individuals to go from single to multiple AAb positivity (AAb+), a crucial step in T1D development. The second model predicts the transition from multiple AAb+ to the onset of T1D. This article demonstrates that our random forest survival models outperform traditional Cox regression methods; we conduct a detailed analysis of variable importance to uncover novel biomarker interactions; and we establish a refined framework for precise measurement and risk stratification of T1D, paving the way for earlier and more targeted intervention.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10929762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800845","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

Reentry CubeSat Heatshield Monitoring System Using Fiber Bragg Gratings 利用光纤光栅的再入立方体卫星隔热监测系统

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-15 DOI: 10.1109/OJIM.2025.3569358

Jurgen Vanhamel;Kin Chio Chao;Yifeng Chen

{"title":"Reentry CubeSat Heatshield Monitoring System Using Fiber Bragg Gratings","authors":"Jurgen Vanhamel;Kin Chio Chao;Yifeng Chen","doi":"10.1109/OJIM.2025.3569358","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3569358","url":null,"abstract":"In space applications, CubeSats are used for all kinds of commercial and research purposes. These small satellites are launched in such large numbers that from a pollution point of view it makes sense to return them intact to Earth. To establish this, a dedicated reentry is needed. During this reentry process, the CubeSat has to make use of a heatshield which deforms due to multiple forces acting upon the structure. In order to monitor this heatshield, this study aims at investigating, designing, simulating, and testing the integration and readout of fiber Bragg gratings (FBGs) into a mock-up heatshield, in order to monitor its shape. Therefore, a mock-up of a CubeSat and its accompanying heatshield is constructed to simulate the realistic use of FBGs. Based on the external dimensions of the heatshield, the study gives a practical installation pattern for the FBGs. A 3-D simulation model of the heatshield and accompanying CubeSat is built. To achieve deformation in this 3-D model, the study proposes an algorithm based on single-point data. Using existing OROCOS/ROS middleware, the study establishes a comprehensive system for setting up and reading out FBGs in order to gather information on the heatshield’s status. Finally, after testing the mock-up heatshield set, the system can reflect the deformation of the heatshield in real-time in the 3-D model. Additionally, the system can save the entire deformation process of the heatshield as a series of model files, which can be used for sophisticated static analysis.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11005409","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139977","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

Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm 基于KPCA-mnc-FastICA和Sparrow搜索算法的双阵列混合TDOA/DOA多PD定位

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-10 DOI: 10.1109/OJIM.2025.3548817

Zeyu Zhang;Xiaojun Tang;Xiaoshan Li;Chongzhi Liu

{"title":"Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm","authors":"Zeyu Zhang;Xiaojun Tang;Xiaoshan Li;Chongzhi Liu","doi":"10.1109/OJIM.2025.3548817","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3548817","url":null,"abstract":"Time difference of arrival (TDOA) and direction of arrival (DOA) are, respectively, applied to detect partial discharge (PD) target with ultrasonic signal. The reason why these two methods cannot be applied at the same time is that the required parameters, such as arrival time differences and directions, cannot be extracted simultaneously. This article solves the problem of calculating these two parameters simultaneously, and then proposes the hybrid TDOA/DOA localization with two <inline-formula> <tex-math>$2times 2$ </tex-math></inline-formula> sensor arrays in PD localization first. This innovation can help PD positioning to obtain better accuracy and lower hardware requirement. Our previous research, which is kernel principal component analysis modified noncircular fast independent component analysis (KPCA-mnc-FastICA), is further studied to calculate arrival time difference and direction of multiple sources simultaneously. To tackle the problem of slow calculation speed, this article explores a combined method of hybrid TDOA/DOA positioning model and sparrow search algorithm (SSA) with two arrays which is sufficient to meet the requirement of multiple PD localization. The spatial accuracy of the discharge model measurement in the laboratory and the numerous PD signals mixed simulation experiment are supported by empirical evidence. The outcomes demonstrate the suggested method’s superior performance in terms of hardware reduction and multiple target localization.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10919048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800913","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

Industrial EV Battery Performance Evaluation: A Review From the Instrumentation Perspective 工业电动汽车电池性能评价：从仪器仪表的角度综述

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-07 DOI: 10.1109/OJIM.2025.3544347

Erik Huemiller;Megan McGovern;Xinyu Du;James Salvador;Sean Wagner;William Collin

{"title":"Industrial EV Battery Performance Evaluation: A Review From the Instrumentation Perspective","authors":"Erik Huemiller;Megan McGovern;Xinyu Du;James Salvador;Sean Wagner;William Collin","doi":"10.1109/OJIM.2025.3544347","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3544347","url":null,"abstract":"The increase in interest in lithium-ion battery cell performance indicators has been propelled by automotive manufacturers’ paradigm shift from internal combustion engine (ICE) vehicles toward electric vehicles (EVs). Accordingly, recent literature has seen a surge in the number of reviews related to nondestructive evaluation for lithium-ion batteries in EVs. Quantifying the battery cell performance is a key to successfully enabling the transition from ICE to EVs. This review seeks to provide an instrumentation and measurement perspective on the state of the art for battery cell performance indicators, including a deeper dive into their limitations and capabilities. This article will cover the most commonly employed measurement techniques, including electrical techniques, mechanical methods, and thermal analysis techniques. This article is organized by measurement technique, where each section will include an introduction to the technique, how it applies to batteries in the EV space, and will conclude with recommendations for extending the state of the art.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10916802","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667398","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

A Resource-Efficient Time-Domain-Based Algorithm to Estimate Respiration Rate From Single-Lead ECG Signal 一种资源高效的基于时域的单导联心电信号呼吸速率估计算法

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-06 DOI: 10.1109/OJIM.2025.3548816

G. B. Krishnapriya;R. N. Ponnalagu;Sanket Goel

{"title":"A Resource-Efficient Time-Domain-Based Algorithm to Estimate Respiration Rate From Single-Lead ECG Signal","authors":"G. B. Krishnapriya;R. N. Ponnalagu;Sanket Goel","doi":"10.1109/OJIM.2025.3548816","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3548816","url":null,"abstract":"This study introduces a novel, computationally efficient time-domain (TD) algorithm for accurate breath rate (BR) estimation from single-lead ECG signals, designed for wearable devices. The proposed algorithm uses statistical TD parameters—mean, prominence, and distance (MPD)—to detect valid respiratory peaks in ECG-derived respiration (EDR) signals. The performance of the MPD algorithm was evaluated using two datasets: 1) a benchmark database containing ECG acquired during dynamic activities and 2) a real-time dataset comprising ECG signals from five subjects performing dynamic activities, including standing, jogging, and recovery. Comparative analysis against state-of-the-art TD methods, such as count-orig, zero-crossing detection, peak detection, and adaptive threshold techniques, demonstrates the superiority of MPD in both accuracy and computational efficiency. On the benchmark dataset, MPD achieved a mean absolute error (MAE) of 3.66 bpm and mean absolute percentage error (MAPE) of 23.69%, outperforming the Count-Orig method (MAE = 5.09 bpm, MAPE = 32.76%). For real-time data, MPD further demonstrated robust performance with an MAE of 1.53 bpm and MAPE of 7.25%. The algorithm’s design simplicity, combined with its ability to handle spurious peaks and varying signal conditions, makes it particularly suitable for resource-constrained wearable applications. Its high accuracy, low computational demands, and adaptability across activity conditions underscore its potential for continuous, real-time respiratory monitoring in diverse scenarios.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10915585","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800846","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

High-Accuracy Linearity Measurement of Broadband Frequency Chirps 宽带频率啁啾高精度线性测量

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-05 DOI: 10.1109/OJIM.2025.3566850

Bent Walther;André Froehly;Thomas Musch;Marcel van Delden

{"title":"High-Accuracy Linearity Measurement of Broadband Frequency Chirps","authors":"Bent Walther;André Froehly;Thomas Musch;Marcel van Delden","doi":"10.1109/OJIM.2025.3566850","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3566850","url":null,"abstract":"High-resolution radar systems use fast and broadband frequency chirps to enable high resolutions with short measurement times. One challenge in these radar systems is minimizing the linearity error in the generated frequency chirps, directly influencing the achievable depth resolution and precision. Current measurement methods cannot meet the bandwidth requirements of modern chirp generators, making it difficult to determine the linearity error precisely. For this reason, we present a novel measurement method that uses a frequency divider to enable linearity measurements with very high accuracy using conventional measurement equipment. Since frequency dividers generate additional artifacts, such as harmonics, we present a novel correction algorithm to prevent these artifacts in the measurement results. The algorithmic framework utilizes a virtual digital frequency chirp to detect RMS frequency errors in the sub-Hz range unprecedentedly. Furthermore, the influence of the frequency divider is systematically characterized, enabling precise correction of its contributions to the measurement results. This method improves the accuracy of chirp linearity measurements and allows for the characterization of current linearity measurement systems. The approach was validated through experimental measurements, even under noise, aliasing, and harmonic conditions.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10985815","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099989","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

Selectivity Enhancement of Pesticide Biosensors via Polymer Coating 通过聚合物涂层提高农药生物传感器的选择性

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2025-03-03 DOI: 10.1109/OJIM.2025.3545978

Angkana Phongphut;Seeroong Prichanont;Chanchana Thanachayanont;Hsin-Yi Tsai;Yu-Hsuan Lin;Keng-Ku Liu;Ruey-An Doong;Bralee Chayasombat

{"title":"Selectivity Enhancement of Pesticide Biosensors via Polymer Coating","authors":"Angkana Phongphut;Seeroong Prichanont;Chanchana Thanachayanont;Hsin-Yi Tsai;Yu-Hsuan Lin;Keng-Ku Liu;Ruey-An Doong;Bralee Chayasombat","doi":"10.1109/OJIM.2025.3545978","DOIUrl":"https://doi.org/10.1109/OJIM.2025.3545978","url":null,"abstract":"This work investigated the effects of polymer films [chitosan (CS), Nafion (NF), and polyvinyl alcohol (PVA)] on the performances of acetylcholinesterase (AChE) biosensors for the selectivity of pesticide types and their concentration levels using principal component analysis (PCA). AChE was immobilized on montmorillonite/gold nanoparticles (Mt/AuNPs). The surface charge of the polymer films significantly influenced sensor performance: NF and PVA films, with negative charges, enhanced the preconcentration of positively charged acetylthiocholine chloride (ATCh), resulting in increased electroactive surface area and current response. In contrast, the positively charged CS film impeded mass diffusion of ATCh, reducing electroactive surface area and current response. Sensor/PVA showed the lowest limit of detection (LOD) for chlorpyrifos and pirimiphos-methyl, while Sensor/CS showed the lowest LOD for carbaryl. The unique response from three different biosensors demonstrated the successful discrimination of the pesticide group and their concentration levels by PCA. The total contribution variance was 99.8%. PC1 suggested the concentration levels, while PC2 was explicitly realized for organophosphate pesticides (negative PC2) and carbaryl (positive PC2). These findings demonstrate that the simple application of polymer coatings, combined with PCA, can significantly improve the selectivity and storage stability of AChE-based biosensors.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"4 ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908626","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645157","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