IEEE Sensors Journal最新文献_第8页

A 3-D Equivalent Circuit Modeling Method for the CMOS Thermoelectric Microwave Power Sensor CMOS热电微波功率传感器的三维等效电路建模方法

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-22 DOI: 10.1109/JSEN.2025.3561382

Zehui Xin;Xiaoping Liao;Zaifa Zhou

{"title":"A 3-D Equivalent Circuit Modeling Method for the CMOS Thermoelectric Microwave Power Sensor","authors":"Zehui Xin;Xiaoping Liao;Zaifa Zhou","doi":"10.1109/JSEN.2025.3561382","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561382","url":null,"abstract":"In order to solve the problems of high complexity and insufficient accuracy in modeling methods for the thermoelectric microwave power sensors, a 3-D equivalent circuit model of a complementary metal-oxide–semiconductor (CMOS) thermoelectric microwave power sensor is proposed which is based on the substrate. Various module division schemes are compared to research the influence of substrate division thickness on model accuracy. A gradient division scheme that balances modeling efficiency and model accuracy is obtained. The relative errors of the hot junction and cold junction temperatures compared to the simulation of maximum temperature difference are 3.7% and 1.0%, respectively. The CMOS thermoelectric microwave power sensor is designed and fabricated based on 0.18-<inline-formula> <tex-math>$mu $ </tex-math></inline-formula>m CMOS technology. According to the measurement results, the sensor has a return loss of less than −20 dB at 8–12 GHz, which exhibits good microwave performance. The sensitivities of the sensor at 8, 10, and 12 GHz are 3.8, 3.26, and <inline-formula> <tex-math>$2.77~mu $ </tex-math></inline-formula>V/mW, respectively. The theoretical sensitivity value of the model is <inline-formula> <tex-math>$3.82~mu $ </tex-math></inline-formula>V/mW, which indicates that the measurement results are basically consistent with the theoretical result. This work has certain reference value for the design of thermoelectric microwave power sensors.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19489-19496"},"PeriodicalIF":4.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Anti-Relaxation Material Applied in Miniaturized Atomic Spin Gyroscope 应用于小型化原子自旋陀螺仪的新型抗弛豫材料

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3561017

Shun Li;Longbin Lin;Fangqi Xu;Zhangzhe Bi;Yunong Wu;Haifeng Zhang

{"title":"A Novel Anti-Relaxation Material Applied in Miniaturized Atomic Spin Gyroscope","authors":"Shun Li;Longbin Lin;Fangqi Xu;Zhangzhe Bi;Yunong Wu;Haifeng Zhang","doi":"10.1109/JSEN.2025.3561017","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561017","url":null,"abstract":"In the process of miniaturizing atomic spin gyroscopes, the relaxation due to the wall collisions of the alkali vapor cell leads to a shorter transverse relaxation time, which increases the key index of the atomic spin gyroscope, the angle random walk (ARW), and reduces the gyroscope’s accuracy. This article theoretically analyzes the thermal stability of the interaction between the new anti-relaxation coating and molecules of the vapor cell, as well as the surface energy of the anti-relaxation coating molecular groups. Based on the results, a new anti-relaxation coating material and its preparation process were proposed. A novel anti-relaxation coating was experimentally prepared. The compositional analysis confirmed its successful covalent bonding with hydroxyl groups on the cell’s inner surface, demonstrating superior thermal stability. Through comparative experiments, including surface morphology analysis, contact angle measurement, and transverse relaxation time measurement, the new anti-relaxation coating proposed in this article exhibits lower surface energy. It also has more excellent anti-relaxation performance compared to the traditional octadecyltrichlorosilane (OTS) anti-relaxation coating.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"18796-18811"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tracking a Millimetric Dual-Magnet Assembly: Toward Detecting Torsional Eye Motion 跟踪毫米双磁体组件：用于检测扭眼运动

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3561198

Giuseppe Bevilacqua;Valerio Biancalana;Yordanka Dancheva

引用次数: 0

CBIA-Net for Rapid Detection of Typical Wound Bacteria Using Hyperspectral Imaging ccia - net用于高光谱成像快速检测典型伤口细菌

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3561018

Decheng Wu;Jianzhen Li;Hao Tang;Wendan Liu;Xudong Fu;Anqiang Zhang;Rui Li;Hailin Cao;Lianyang Zhang

{"title":"CBIA-Net for Rapid Detection of Typical Wound Bacteria Using Hyperspectral Imaging","authors":"Decheng Wu;Jianzhen Li;Hao Tang;Wendan Liu;Xudong Fu;Anqiang Zhang;Rui Li;Hailin Cao;Lianyang Zhang","doi":"10.1109/JSEN.2025.3561018","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561018","url":null,"abstract":"Bacterial infection in wounds is one of the critical factors in delayed healing and can lead to life-threatening sepsis in severe cases. The rapid and nondestructive detection of wound bacteria and timely intervention and treatment are of great significance. Hence, a novel CNN-BiGTrans interactive aggregation network (CBIA-Net) is proposed for bacteria detection using hyperspectral imaging (HSI). Specifically, two feature extraction branches BiGTrans_Branch and CNN1D_Branch are designed: the former captures the sequential information and long-distance dependencies of long sequences while acquiring global information, and the latter adequately extracts the key local features of sequences and expands the receptive field. In addition, a cross-branch weighted fusion module (CWFM) is designed to interactively fuse global and local features of spectral sequences to obtain diverse and robust features. Finally, a hyperspectral wound-typical bacteria (HWB) dataset is constructed to evaluate the performance of the proposed method. The experimental results show that the proposed method has better classification performance compared with other models, reaching 97.04%, 97.03%, 97.03%, and 97.03% in the four metrics of precision, recall, accuracy, and <inline-formula> <tex-math>${F}1$ </tex-math></inline-formula>-score, respectively. We believe that this method can be used for the rapid detection of other bacteria and has a great potential application in the task of identifying typical bacteria on real wounds.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19970-19981"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New Semidefinite Programming Joint Localization and Synchronization Using Sequential One-Way TOAs and Doppler Shifts 基于顺序单向toa和多普勒频移的新型半定规划联合定位与同步

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3560989

Yanyan Peng;Ningyan Guo;Sihao Zhao;Chunxiao Jiang;Zhiyong Feng

{"title":"New Semidefinite Programming Joint Localization and Synchronization Using Sequential One-Way TOAs and Doppler Shifts","authors":"Yanyan Peng;Ningyan Guo;Sihao Zhao;Chunxiao Jiang;Zhiyong Feng","doi":"10.1109/JSEN.2025.3560989","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3560989","url":null,"abstract":"In a time-division (TD) broadcast localization and synchronization (TDBLAS) system, moving user nodes (UNs) with the clock offset and the clock drift usually use the sequential one-way time-of-arrival (TOA) and Doppler shift measurements from the anchor nodes (ANs) to resolve the joint localization and synchronization (JLAS) problem in the presence of the AN position error. The objective function of the maximum likelihood (ML) method to solve the above JLAS problem in a TDBLAS system is high-dimensional nonlinear and nonconvex. Thus, the existing iterative method for solving the above ML estimation problem usually encounters issues like local minima or nonconvergence when an accurate initial guess is missing. In this article, we propose a new semidefinite programming (SDP) method to address this issue, which can guarantee the global optimal solution without requiring initialization. We introduce the optimization variable and formulate a nonconvex-constrained weighted least-squares (CWLS) minimization problem. Subsequently, we propose a novel semidefinite relaxation (SDR) approach to relax the complex and nonconvex CWLS problem into a convex and tractable SDP problem. Through theoretical estimation error analysis, we demonstrate that the CWLS solution can achieve the Cramér-Rao lower bound (CRLB) under small Gaussian noise. Simulation results in a 2-D scenario show that the proposed SDP method reaches the CRLB under small Gaussian noise. Compared to the conventional iterative method, the proposed SDP method exhibits greater robustness, achieving the global optima without requiring initialization under small Gaussian noise.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19957-19969"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data Collection in Underwater Acoustic Sensor Networks Using Multiple AUVs With Sequential Greedy-QPSO and Fast Marching Algorithms 基于顺序贪婪- qpso和快速推进算法的多auv水声传感器网络数据采集

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3561025

Mingzhi Chen;Haoxuan Song;Daqi Zhu;Weifeng Chen;Caixia Cai

{"title":"Data Collection in Underwater Acoustic Sensor Networks Using Multiple AUVs With Sequential Greedy-QPSO and Fast Marching Algorithms","authors":"Mingzhi Chen;Haoxuan Song;Daqi Zhu;Weifeng Chen;Caixia Cai","doi":"10.1109/JSEN.2025.3561025","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561025","url":null,"abstract":"Multiple autonomous underwater vehicles (AUVs) face challenges such as ocean currents and obstacles when collecting data from underwater acoustic sensor networks (UASNs). This article proposes a novel method to enhance the safety and efficiency of data collection by focusing on waypoint selection and path optimization. Initially, we integrate the sequential greedy quantum-behaved particle swarm optimization (SeqGreedy-QPSO) algorithm for waypoint selection. Subsequently, task points are clustered using balanced k-means clustering and allocated to each AUV using the self-organizing map (SOM) algorithm. Path planning utilizes the time matrices from the weighted fast marching square (FMS) algorithm and the anisotropic fast marching (AFM) algorithm to generate safe and efficient paths, considering the impact of obstacles and ocean currents. Through comparative simulation experiments, our approach demonstrates significant advantages in waypoint selection and path safety. The findings suggest that our method significantly boosts the efficiency and reliability of multi-AUV data collection in complex underwater environments, providing strong technical support for real-world applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20433-20444"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leakage Localization of Gas Pipelines Based on Modal Acoustic Emission and Cross-Power Spectrum Peak Optimization 基于模态声发射和跨功率谱峰值优化的输气管道泄漏定位

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3561141

Wenbiao Zhang;Kezheng Gong;Xiwang Cui

{"title":"Leakage Localization of Gas Pipelines Based on Modal Acoustic Emission and Cross-Power Spectrum Peak Optimization","authors":"Wenbiao Zhang;Kezheng Gong;Xiwang Cui","doi":"10.1109/JSEN.2025.3561141","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3561141","url":null,"abstract":"Leakage accidents in natural gas pipelines bring huge property losses and pose serious safety risks. Therefore, faster and more accurate leakage localization is of great significance. In this article, a new method based on modal acoustic emission (MAE) and peak optimization of cross-power spectrum is proposed to enhance the performance of leakage localization. When a pipeline leakage occurs, the sensors installed on the pipelines receive acoustic emission (AE) signals, which have various modes. Instead of extracting a single mode through complex algorithms, the proposed method directly extracts the cross-power spectrum of a specified mode by choosing the appropriate window function and window parameters to locate the leakage with velocity information from dispersion curves. Gaussian, Hamming, and Blackman window functions are compared in the extraction of the cross-power spectrum of L(0, 1) mode, among which the Blackman window function is found to be the most effective. The artificial fish swarm algorithm combined with the iteration criterion for peak optimization is used to obtain suitable window parameters. Finally, the localization error of the above method is less than 5.2%. In addition, the performance of the iteration criterion for peak optimization of cross-power spectrum combined with other intelligent swarm algorithms is investigated. The results show that the maximum errors of other intelligent methods are still less than 9%, demonstrating the great compatibility of the proposed method.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19982-19992"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High Accuracy Distributed Strain Sensing Based on Fractional Cyclic Shift With Nondestructive Phase Unwrapping in OFDR 基于分数阶循环位移和无损相位展开的OFDR高精度分布式应变传感

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3560710

Chenhuan Wang;Suozhen Zheng;Ji Liu;Jinhui Wu;Yaoyu Cheng;Haojin Yang;Peng Sun;Boyang Zhang

{"title":"High Accuracy Distributed Strain Sensing Based on Fractional Cyclic Shift With Nondestructive Phase Unwrapping in OFDR","authors":"Chenhuan Wang;Suozhen Zheng;Ji Liu;Jinhui Wu;Yaoyu Cheng;Haojin Yang;Peng Sun;Boyang Zhang","doi":"10.1109/JSEN.2025.3560710","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3560710","url":null,"abstract":"The relative phase method in strain demodulation based on optical frequency domain reflectometry (OFDR) has received much attention for its high accuracy and spatial resolution, but has the unique phase wrapping problem with different proposed solutions. Some relative phase information is lost in these solutions, and the complex algorithms make it difficult to implement in devices. This article proposes a fractional cyclic shift method that matches any slope, which provides a nondestructive solution to phase wrapping and is easy to implement. Additionally, this article presents the theory of cyclic shifts with zero padding, conversion formulae for fractional shift points, and the mathematical relationship between relative phase slope and optical frequency domain shift under the same strain. Using fractional cyclic shift and peak finding method based on variance statistic, this article accurately determines the start and end positions of the strain, providing basic strain phase information. Finally, the method achieves the strain measurement with spatial resolution of 0.907 mm, distance of 36.7 m, strain accuracy of <inline-formula> <tex-math>$0.5~mu varepsilon $ </tex-math></inline-formula>, maximum error of <inline-formula> <tex-math>$0.2~mu varepsilon $ </tex-math></inline-formula>, and standard deviation of <inline-formula> <tex-math>$0.077~mu varepsilon $ </tex-math></inline-formula> through bidirectional Chebyshev low-pass filtering, providing low-error strain demodulation with sub-millimeter resolution in the medium distance. This article also compares different filtering methods finding that bidirectional Chebyshev filtering avoids phase distortion and has one-third the error of finite impulse response (FIR) filtering with different windows.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"19290-19301"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear Activation Functions are Not Necessary: A Lightweight Nonlinear Activation Free Network Based on Multiscale Large Kernel Attention Mechanism for Fault Diagnosis 非线性激活函数是不必要的：一种基于多尺度大核关注机制的轻型非线性无激活网络的故障诊断

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3560461

Jiawei Chen;Jianhai Yue;Yuanyuan Chen;Hang Zhou;Zhunqing Hu

{"title":"Nonlinear Activation Functions are Not Necessary: A Lightweight Nonlinear Activation Free Network Based on Multiscale Large Kernel Attention Mechanism for Fault Diagnosis","authors":"Jiawei Chen;Jianhai Yue;Yuanyuan Chen;Hang Zhou;Zhunqing Hu","doi":"10.1109/JSEN.2025.3560461","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3560461","url":null,"abstract":"In recent years, there has been a notable advancement in the field of fault diagnosis, with the introduction of Transformers and convolutional neural networks (CNNs). These two approaches have demonstrated distinct advantages in global and local feature extraction, respectively. Nevertheless, the introduction of the multihead self-attention (SA) mechanism and the cross-channel convolutional mechanism has led to a notable increase in the system complexity of the networks, resulting in higher hardware requirements, limited industry applications, and the potential for comparative analyses between methods to be hindered. Accordingly, this article proposes a novel lightweight fault diagnosis framework, designated MSLKA-NAFNet, to address the limitations identified in current research. First, a plainNet is constructed using the most common components (e.g., convolutional blocks, ReLU, and shot-cut); second, a multiscale large-kernel attention (MSLKA) mechanism is designed to extract the global information of the vibration signals through a large receptive field, which is added to the plainNet along with other state-of-the-art methodological components, to propose a simple and efficient baseline. To further simplify the network complexity, basic multiplication operations are used instead of nonlinear activation functions (e.g., Sigmoid, ReLU, and GELU) to transform the baseline into a nonlinear activation-free network. The results of three challenging rotating machinery benchmark tests show that the proposed framework is not only more advantageous in terms of lightweight and robustness compared to state-of-the-art algorithms, but also proves that the nonlinear activation functions are nonessential for fault diagnosis tasks.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"18926-18940"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smartphone-Integrated Optomechanical Dual-Mode Instrument for Salmonella Typhimurium Detection 智能手机集成光机械双模鼠伤寒沙门氏菌检测仪器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-04-21 DOI: 10.1109/JSEN.2025.3560823

Hyun Jung Min;Hansel A. Mina;Junseok Oh;Amanda J. Deering;J. Paul Robinson;Bartek Rajwa;Euiwon Bae

{"title":"Smartphone-Integrated Optomechanical Dual-Mode Instrument for Salmonella Typhimurium Detection","authors":"Hyun Jung Min;Hansel A. Mina;Junseok Oh;Amanda J. Deering;J. Paul Robinson;Bartek Rajwa;Euiwon Bae","doi":"10.1109/JSEN.2025.3560823","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3560823","url":null,"abstract":"Salmonella typhimurium is responsible for numerous cases of foodborne illnesses, often resulting in severe hospitalizations and fatalities. The imperative to detect and prevent such foodborne pathogens is crucial for safeguarding public health. This research introduces the creation of a quartz-crystal microbalance (QCM) system integrated with a smartphone, aiming to identify the presence of S. typhimurium through a dual-mode approach. This innovative system employs two distinct mechanisms: first, by gauging frequency changes induced by bacterial mass, and second, by quantifying fluorescence intensities arising from bacteria captured by fluorescein isothiocyanate (FITC)-labeled antibodies. The utilization of FITC-labeled antibodies impacts the measurement in two ways: it enhances the frequency-shift signal for mass change and facilitates the visualization of bacterial cells via optical detection. The integration of the smartphone with the QCM system enables the real-time presentation of frequency data and the recording of fluorescence intensities, allowing for the estimation of cell numbers. The smartphone-based system effectively detected S. typhimurium within a concentration range of <inline-formula> <tex-math>$10^{{3}}$ </tex-math></inline-formula>–<inline-formula> <tex-math>$10^{{5}}$ </tex-math></inline-formula> CFU/mL following the application of FITC-labeled antibodies.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20423-20432"},"PeriodicalIF":4.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0