IEEE Sensors Journal最新文献_第5页

Magnetic Anomaly Detection of an Undersea Tunnel Using a Drone-Mounted All-Optical Pulsed Atomic Magnetometer 无人机全光脉冲原子磁强计在海底隧道磁异常探测中的应用

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-09-04 DOI: 10.1109/JSEN.2026.3729190

Hyeonjae Kim;Sin Hyuk Yim;Sangkyung Lee;Eun-Seok Bang;Sang Rae Yeo;Yun Jeong Kim;Taek Jeong;Younghoon Lim

{"title":"Magnetic Anomaly Detection of an Undersea Tunnel Using a Drone-Mounted All-Optical Pulsed Atomic Magnetometer","authors":"Hyeonjae Kim;Sin Hyuk Yim;Sangkyung Lee;Eun-Seok Bang;Sang Rae Yeo;Yun Jeong Kim;Taek Jeong;Younghoon Lim","doi":"10.1109/JSEN.2026.3729190","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3729190","url":null,"abstract":"We report magnetic anomaly detection of the Boryeong undersea tunnel using a drone-mounted all-optical pulsed atomic magnetometer. The optically pumped rubidium atomic magnetometer, with a single-beam configuration, measures the scalar magnetic field using a free-induction-decay readout. The sensor head has an outer volume of 112 mL and a mass of approximately 100 g. The baseline noise floor measured inside a magnetic shield is 1.98 pT per square root hertz from 5 to 100 Hz. Residual magnetic anomaly maps obtained at flight altitudes of 50, 100, and 150 m show an elongated anomaly pattern consistent with the tunnel location identified from the map data. Line profiles show bipolar magnetic anomalies with zero-crossing positions that remain close at the three flight altitudes, while the peak-to-peak amplitude decreases and the peak-to-peak separation increases with altitude. For the survey line with the largest magnetic anomaly amplitude, the peak-to-peak amplitudes at 50, 100, and 150 m are 225, 93, and 48 nT, respectively. The altitude dependence of the peak-to-peak amplitude is described by an inverse-square model and gives apparent source depths with a mean value of 71 m, comparable to the known maximum tunnel depth of approximately 80 m below sea level.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"30274-30281"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11679131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multicategory Cross-Subject Hand Gesture Recognition Based on Spatiotemporal Decoding via A-Mode Ultrasound Sensing 基于a型超声感知时空解码的多类别跨主体手势识别

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-08-20 DOI: 10.1109/JSEN.2026.3720592

Donghan Liu;Gongyue Zhang;Haoran Zheng;Yixuan Sheng;Honghai Liu

{"title":"Multicategory Cross-Subject Hand Gesture Recognition Based on Spatiotemporal Decoding via A-Mode Ultrasound Sensing","authors":"Donghan Liu;Gongyue Zhang;Haoran Zheng;Yixuan Sheng;Honghai Liu","doi":"10.1109/JSEN.2026.3720592","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3720592","url":null,"abstract":"A-mode ultrasound (AUS) sensing has emerged as a promising modality for human–machine interaction (HMI), owing to its high signal-to-noise ratio (SNR), compact form factor, and ability to capture deep muscle deformation. This study presents a unified spatiotemporal decoding architecture with transfer learning for cross-subject hand gesture recognition (HGR) using wearable AUS. A commercially available four-channel AUS system was employed to noninvasively collect forearm echo signals corresponding to static, dynamic, and in-hand manipulation gestures. A convolutional block attention module (CBAM)–long short-term memory (CBAM–LSTM) network was constructed to model spatial and temporal dependencies, where CBAM enhances discriminative spatial feature extraction, and LSTM captures time-varying muscle dynamics. A fine-tuning strategy enables efficient adaptation to unseen users with limited calibration data. Under a leave-one-subject-out protocol, the proposed architecture achieved average accuracies of 86.75%, 95.6%, and 87.3% for static, dynamic, and in-hand gestures, respectively. In addition, within-subject evaluation yielded macro-<italic>F</i>1-scores above 97%, indicating strong intrasubject consistency. These results validate AUS as a robust and scalable sensing modality for muscle-activity-based gesture recognition, with promising potential for rehabilitation training and intelligent prosthetic control.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"31521-31531"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149175994","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

Advancing Sound Event Localization and Detection: A Multibranch Time--Frequency Separable Convolutional Compression Network Approach 推进声音事件定位与检测：一种多分支时频可分卷积压缩网络方法

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-08-24 DOI: 10.1109/JSEN.2026.3724896

Wenny Ramadha Putri;Shih-Tsung Yang;Bach-Tung Pham;Po-Cheng Chan;An Dang;Shang-Kuan Chen;Chung-I Huang;Kuo-Chen Li;Shih-Lun Chen;Pao-Chi Chang;Jia-Ching Wang

引用次数: 0

A Magneto-Mechanical Gyroscope With Spintronic Readout 带自旋电子读数的磁机械陀螺仪

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-09-07 DOI: 10.1109/JSEN.2026.3728166

Andrea Meo;Francesca Garescì;Pedro Bossi Núñez;Maddalena Fiorentino;Teresa Natale;Ludovico Dindelli;Victor Lopez Dominguez;Banibrato Sinha;Riccardo Tomasello;Francesco Dell'Olio;Pedram Khalili Amiri;Mario Carpentieri;Giovanni Finocchio

{"title":"A Magneto-Mechanical Gyroscope With Spintronic Readout","authors":"Andrea Meo;Francesca Garescì;Pedro Bossi Núñez;Maddalena Fiorentino;Teresa Natale;Ludovico Dindelli;Victor Lopez Dominguez;Banibrato Sinha;Riccardo Tomasello;Francesco Dell'Olio;Pedram Khalili Amiri;Mario Carpentieri;Giovanni Finocchio","doi":"10.1109/JSEN.2026.3728166","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3728166","url":null,"abstract":"Gyroscopes are essential elements in navigation, consumer electronics, robotics, and aerospace applications. Most micro-electromechanical systems (MEMS) implementations rely on capacitive sensing mechanisms, which limit the dimensional scaling to the micrometer scale. In this work, we introduce a MEMS-like two-degree-of-freedom (2-DOF) gyroscope that exploits the rectification functionality of magnetic tunnel junctions (MTJs) as its readout mechanism and as the transducer of the mechanical dynamics. Experimentally characterized MTJs have been used to calibrate and perform an experiment-informed design of the magneto-mechanical model combining micromagnetic theory with 2-DOF mechanical equations. We demonstrated that the output is linear with angular rate, and that the proposed device is able to extract the angular rate in dynamic cases exploiting a homodyne demodulation approach. The results open a path toward a compact, complementary metal-oxide semiconductor (CMOS)-compatible readout pathway that relaxes reliance on tight capacitive gaps and motivates multiphysics designs of the device.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"30182-30192"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11683337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Network-Wide Consistent Fusion for Distributed Multitarget Tracking Under Limited and Occluded Fields of View 受限视场和遮挡视场下分布式多目标跟踪的全网一致性融合

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 DOI: 10.1109/JSEN.2026.3730854

Chengping Ma;Yunxiao Peng;Shuai Yuan;Ci Wang;Xiaoxiao Zhuo;Liang Tang;ChenFeng Xu;Yu Zhao

{"title":"Network-Wide Consistent Fusion for Distributed Multitarget Tracking Under Limited and Occluded Fields of View","authors":"Chengping Ma;Yunxiao Peng;Shuai Yuan;Ci Wang;Xiaoxiao Zhuo;Liang Tang;ChenFeng Xu;Yu Zhao","doi":"10.1109/JSEN.2026.3730854","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3730854","url":null,"abstract":"Distributed multitarget tracking (DMTT) enables multiple sensor nodes with heterogeneous and limited fields of view (FoVs) to cooperatively estimate target trajectories through network-wide fusion. However, when FoVs are occluded, local tracks may become fragmented and inconsistently labeled, and these local identity errors can propagate through distributed fusion. To address these issues, this article proposes consistent fusion by associated groups algorithm with a generated label mechanism (CFAG-GLM), a track-level network-wide fusion framework that integrates associated-group fusion with a generated label mechanism. Internode track association and intragroup state fusion produce consistent fused estimates across nodes, while a unified global-label update maintains persistent fused identities across scans. Within this process, a rebirth relation based on temporal and kinematic consistency reconnects reinitialized local tracks to existing global identities after occlusion-induced interruptions. Comparisons with density-level and track-level fusion baselines, together with a no-rebirth ablation, show that CFAG-GLM preserves network-wide consistency while reducing trajectory fragmentation and identity discontinuities in the tested occluded-FoV scenarios. In the two occluded-FoV scenarios, CFAG-GLM achieves the lowest OSPA<inline-formula> <tex-math>${}^{text {(}{2}text {)}}$ </tex-math></inline-formula> and LP switching errors among the compared methods while retaining runtime comparable to the track-level baselines. Relative to CFAG, it reduces the occlusion-induced OSPA<inline-formula> <tex-math>${}^{text {(}{2}text {)}}$ </tex-math></inline-formula> degradation by 69.2% and 65.7%, respectively, and the corresponding LP total-error degradation by 42.9% and 43.3%, respectively.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"31633-31647"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176090","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

Learning Multihierarchical Spatiotemporal Dependence of Complex Industrial Flowsheets and Its Soft Sensor Applications 复杂工业流程的多层次时空依赖性学习及其软测量应用

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-08-31 DOI: 10.1109/JSEN.2026.3726886

Yalin Wang;Yitao Chen;Chenliang Liu;Yue Cao;Cao Song

{"title":"Learning Multihierarchical Spatiotemporal Dependence of Complex Industrial Flowsheets and Its Soft Sensor Applications","authors":"Yalin Wang;Yitao Chen;Chenliang Liu;Yue Cao;Cao Song","doi":"10.1109/JSEN.2026.3726886","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3726886","url":null,"abstract":"Online prediction of key quality variables is essential for the real-time optimization and stable operation of complex industrial processes. However, with the increasing scale of modern industrial flowsheets, production systems are usually organized into multiple interconnected subprocesses. These subprocesses exhibit relatively independent local dynamic behaviors due to different equipment units and operating mechanisms while remaining globally coupled through material transfer and energy exchange. Such local independence and global interdependence make it difficult for existing soft sensor models to comprehensively characterize multihierarchical spatiotemporal dependencies, thereby posing significant challenges for accurate quality prediction. To address these issues, this article proposes a novel multihierarchical spatial–temporal dependence-aware graph convolutional network (MHSTA-GCN) for online quality prediction in large-scale industrial processes. In particular, an integrated graph topology learning method is designed by combining correlation-based prior knowledge with adaptive parameter learning to construct coupled spatial relationships among variables, thereby enhancing structural reliability while uncovering latent dynamic dependencies. Subsequently, a mix-hop graph convolutional network (GCN) is developed to selectively propagate critical information through multihop operations and is incorporated into the spatial–temporal dependence-aware feature extraction module to capture multiscale sequential patterns and dynamic variations, thereby modeling complex spatiotemporal interactions. Furthermore, a multihierarchical feature extraction framework is introduced to jointly exploit global and local process information, enabling a comprehensive multihierarchical feature representation. Extensive experiments on two real-world large-scale industrial process datasets validate the effectiveness of the proposed method.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"30813-30827"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176189","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

Dual-Mode Adaptive Control Strategy for Modulation Frequency Drift Compensation in Field Mill Sensors 现场磨机传感器调制频率漂移补偿的双模自适应控制策略

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-09-11 DOI: 10.1109/JSEN.2026.3731085

Hanlin Ge;Haiwen Yuan;Haibin Yuan;Jianxun Lv;Yuxin Deng;Cong Chen;Chengxin Liu

{"title":"Dual-Mode Adaptive Control Strategy for Modulation Frequency Drift Compensation in Field Mill Sensors","authors":"Hanlin Ge;Haiwen Yuan;Haibin Yuan;Jianxun Lv;Yuxin Deng;Cong Chen;Chengxin Liu","doi":"10.1109/JSEN.2026.3731085","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3731085","url":null,"abstract":"Accurate monitoring of ground-level synthetic electric fields beneath ultrahigh voltage (UHV) direct current (DC) transmission lines is critical for assessing the electromagnetic environment. As the primary instruments for this task, field mill sensors deployed in outdoor environments are susceptible to ambient temperature fluctuations, particularly in regions with significant diurnal temperature variations. This sensitivity induces substantial measurement drift, which severely constrains the reliability of long-term electric field monitoring under complex operating conditions. This article investigates the mechanism of measurement errors caused by temperature-induced modulation frequency drift, and proposes a dual-mode adaptive control strategy based on a novel circuit topology to achieve automatic regulation of the modulation frequency. The experimental results demonstrate that, compared with conventional methods, the proposed strategy effectively compensates for measurement errors of the field mill sensor across a temperature range from <inline-formula> <tex-math>$- 30~^{circ }$ </tex-math></inline-formula>C to <inline-formula> <tex-math>$70~^{circ }$ </tex-math></inline-formula>C. Specifically, the coefficient of variation (CV) of sensitivity was reduced to 0.64%, and the maximum linearity error was suppressed to 0.28%. This work provides a reliable solution for accurate ground-level synthetic electric field measurement in complex outdoor environments, offering promising potential for engineering applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"31461-31472"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176236","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

Heart Rate Estimation by Different Sensing Modalities Under Resting and Postexercise-Recovery Conditions 静息和运动后恢复条件下不同传感方式的心率估计

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-08-28 DOI: 10.1109/JSEN.2026.3726629

Jelena Kršić;Mirjana G. Stojanović;Marjan N. Miletić;Vladimir A. Atanasoski;Marija D. Ivanović;Aleksandra Maluckov;Jovana Petrović

{"title":"Heart Rate Estimation by Different Sensing Modalities Under Resting and Postexercise-Recovery Conditions","authors":"Jelena Kršić;Mirjana G. Stojanović;Marjan N. Miletić;Vladimir A. Atanasoski;Marija D. Ivanović;Aleksandra Maluckov;Jovana Petrović","doi":"10.1109/JSEN.2026.3726629","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3726629","url":null,"abstract":"Heart rate (HR) is a valuable and widely used indicator of cardiac health. Electrocardiographic (ECG) recordings are the medical gold standard for HR estimation. However, the growing demand for mobile cardiac monitoring prompted investigation of other sensing modalities. Photoplethysmographs (PPGs) and accelerometers (ACCs) have been heavily investigated and made their way to the market. However, direct comparisons of different sensing modalities, besides the individual benchmarking to ECG, needed for their proper placement in the diagnostic and monitoring landscape are scarce. The reasons vary from the challenges with sensor synchronization to a small range of HRs probed at rest. In this article, we exploit the open SensSmartTech dataset recorded by a multimodal device before and immediately after activity, with the HR span of over 100 beats per minute (bpm), to directly compare the HR estimation accuracy from the carotid PPG, brachial PPG, chest-mounted ACC, and phonocardiograph (PCG), with an ECG as a reference. The HR was estimated using peak-finding methods, preceded by envelope detection in fast chest waveforms. ACC and PCG delivered HR with root mean square error (RMSE) below the 5-bpm threshold recommended by the American National Standard for cardiac monitors, HR meters and alarms. Slightly larger RMSEs, in the range of 6–9 bpm, obtained from PPG are attributed to the motion artifacts. The results show that, within the bounds of this controlled comparison, the detection of fast events spectrally distinct from the respiration and body movements renders higher HR accuracy than much slower arterial pulses measured in a comparable measurement configuration and filtered by similar algorithms.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"31562-31574"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176250","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

Vector Magnetic-Field Sensing via Differential Interferometry in a Seven-Core Fiber 基于差分干涉测量的七芯光纤矢量磁场传感

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-09-09 DOI: 10.1109/JSEN.2026.3730097

Qingyu Wei;Yucheng Yao;Yalin Gao;Xuchen Hua;Zhiyong Zhao;Ming Tang

{"title":"Vector Magnetic-Field Sensing via Differential Interferometry in a Seven-Core Fiber","authors":"Qingyu Wei;Yucheng Yao;Yalin Gao;Xuchen Hua;Zhiyong Zhao;Ming Tang","doi":"10.1109/JSEN.2026.3730097","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3730097","url":null,"abstract":"Fiber-optic magnetometers often find it difficult to balance vector discrimination and environmental stability, in particular because of cross-sensitivity to temperature and strain. In this work, a compact vector magnetic-field sensor based on a symmetric seven-core fiber (SCF) Michelson interferometer (MI) is proposed and demonstrated. The sensor combines a fan-in/fan-out (FIFO) device with a sensor head coated with a magnetic-force-driven composite to form a differential sensing structure. This design exploits the consistent spatial properties of the multicore fiber (MCF) and supports a push–pull strain sensing mechanism that doubles the sensitivity while suppressing common-mode thermal noise. The sensor achieves a highly linear vector response (<inline-formula> <tex-math>$text {R}{,}^{{2}}gt {0}.{98}$ </tex-math></inline-formula>) with a maximum sensitivity of 0.485 nm/mT and a figure-of-eight angular dependence that provides directional discrimination of the magnetic field. The differential configuration also shows good short-term stability under zero-field conditions, with a wavelength fluctuation standard deviation of 0.179 nm over 45 min. With its compact structure, simple configuration, and stable directional response, the sensor shows potential for magnetic-field monitoring and orientation-related sensing applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"30503-30510"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176268","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

An Ultrasoft-Diaphragm Fiber-Optic Flow Sensor for In Situ Monitoring in Microfluidic Chips 用于微流控芯片原位监测的超软膜片光纤流量传感器

IF 4.5 2区综合性期刊

IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-09-07 DOI: 10.1109/JSEN.2026.3729334

Xiaoting Wu;Zhuo Ren;Xin Lv;Xuhao Ji;Xi Hu;Zhihai Liu;Yu Zhang

{"title":"An Ultrasoft-Diaphragm Fiber-Optic Flow Sensor for In Situ Monitoring in Microfluidic Chips","authors":"Xiaoting Wu;Zhuo Ren;Xin Lv;Xuhao Ji;Xi Hu;Zhihai Liu;Yu Zhang","doi":"10.1109/JSEN.2026.3729334","DOIUrl":"https://doi.org/10.1109/JSEN.2026.3729334","url":null,"abstract":"Accurate flow rate monitoring is essential for quantitative analysis and precise fluid manipulation in microfluidic systems. However, achieving high-sensitivity in situ flow monitoring remains challenging due to the extremely weak pressure generated by microflows and the stringent miniaturization requirements of microfluidic systems. In this work, an ultrasoft diaphragm-based fiber-tip Fabry–Pérot sensor is proposed for direct in-channel microflow monitoring. The sensor is fabricated by two-photon polymerization (TPP) using a heterogeneous structure composed of a rigid supporting frame and a compliant diaphragm, enabling an effective balance between structural stability and sensitivity. The sensing performance is further enhanced through systematic optimization of the diaphragm geometry. Experimental results demonstrate a sensitivity of −0.4629 nm/(<inline-formula> <tex-math>$mu $ </tex-math></inline-formula>L/min) over a flow rate range of 5–<inline-formula> <tex-math>$25~mu $ </tex-math></inline-formula>L/min. The fiber-tip configuration provides an ultracompact and easily integrated sensing solution. The proposed sensor shows strong potential for in situ microflow monitoring in microfluidic and biomedical applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"26 20","pages":"30495-30502"},"PeriodicalIF":4.5,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176269","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