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"IEEE Sensors Alert" is a pilot project of the IEEE Sensors Council. Started as one of its new initiatives, this weekly digest publishes teasers and condensed versions of our journal papers in layperson's language.
Articles Posted in the Month (May 2025)
Acoustofluidic Particle Trapping in a Structured Microchannel Using Lateral Transducer Modes
Author: Fuchsluger Andreas, Andrianov Nikolai, Cselyuszka Norbert, De Pastina Annalisa, Ecker Rafael, Jakoby Bernhard, Mitteramskogler Tina, Voglhuber-Brunnmaier Thomas
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Fuchsluger Andreas (Author)
Acoustofluidics uses sound waves for contactless manipulation of particles and fluids within microfluidic systems, which is relevant for various medical applications. This study presents a novel lateral-mode acoustofluidic trapping device using a disc-shaped resonator to create a two-dimensional standing wave for efficient particle trapping. The device operates at lower frequencies and efficiently traps large sizes and volumes of particles, demonstrating high predictability, reproducibility, and stability, making it suitable for advanced particle manipulation.
Ultrahigh Sensitivity Surface Plasmon Resonance Magnetic Field Sensor Based on D-Shape Four-Hole Fiber
Author: Chen Zhenshi, Chen Cheng, Chu Paul K., Fu Haihao
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Payal Savani
Magnetic field sensors are essential in modern technology, with applications ranging from smart gadgets, biomedicine, industrial automation, and environmental monitoring to aerospace technology. This paper presents a highly sensitive sensor using surface plasmon resonance (SPR) and a D-shaped four-hole fiber designed for accurate magnetic field detection. Integrating SPR with fiber optics enhances the devices' sensitivity and performance, advancing its potential applications in areas where detecting weak magnetic signals is crucial.
Antibody-Free SERS Detection of Severe Fever With Thrombocytopenia Syndrome Virus Using Micron Bowl Array PDMS Substrates
Author: Hsu Wei-li, Wang Gou-jen, Lin Ying-Ting, Lin Ze-Cheng, Tseng Ching-Yu
Published in: IEEE Sensors Journal (Volume: 25, Issue: 4, February 2025)
Summary Contributed by: Hsu Wei-li (Author)
Severe fever with thrombocytopenia syndrome (SFTS) is a newly identified zoonotic infectious disease discovered in several East Asian countries. It is caused by the SFTS virus (SFTSV), also known as Dabie bandavirus or Huaiyangshan virus. The paper presents a novel surface-enhanced Raman scattering (SERS) chip with silver nanoparticles (AgNPs) uniformly deposited on a micron bowl array polydimethylsiloxane (PDMS) substrate to detect the virus responsible for SFTS effectively.
Scorpion-Inspired, Hydrophobic, Highly Sensitive, and Paper-Based Magnetoelastic Biosensor for C-Reactive Protein Detection
Author: Sang Shengbo, Ge Yang, Guo Xing, Yuan Zhongyun, Zhao Dong, Luo Man
Published in: IEEE Sensors Journal (Volume: 24, Issue: 8, April 2024)
Summary Contributed by: Saurabh Dubey
C-reactive protein (CRP) in human blood is a vital biomarker for detecting inflammation or acute infection. This study presents a hydrophobic, paper-based magnetoelastic biosensor inspired by scorpion anatomy and made using eco-friendly materials and V-shaped grooves to enhance sensitivity for detecting CRP. The sensor overcomes the limitations of traditional detection methods and offers rapid, cost-effective, and highly sensitive diagnostics for acute inflammation and tissue damage.
Improving the Spatial Resolution of Small Satellites by Implementing a Super-Resolution Algorithm Based on the Optical Imaging Sensor’s Rotation Approach
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Iman Kazemi (Author)
Image processing can improve the image quality of data transmitted by small satellites. This paper presents a novel method of enhancing small satellite image resolution using a super-resolution algorithm combined with a rotating sensor. The algorithm reconstructs a high-resolution image by boosting spatial resolution. This method increases image clarity by gathering more data in flight and vertical directions and efficiently processing images in approximately 0.713 seconds, making it suitable for microsatellite applications.
Rule the Joule: An Energy Management Design Guide for Self-Powered Sensors
Author: Monagle Daniel, Ponce Eric Andrew, Leeb Steven
Published in: IEEE Sensors Journal (Volume: 24, Issue: 01, January 2024)
Summary Contributed by: Saurabh Dubey
Rule the Joule Energy Management System for self-powered sensors features dynamic control, cold-start capability, and robust maximum power point tracking (MPPT) to optimize energy harvesting and storage. Its real-time energy flow regulation reduces reliance on predictive models, enhancing efficiency in noisy environments. Experimental validation confirms its reliability for powering wireless sensor nodes, providing overvoltage protection and improved component longevity, paving the way for advancement in IoT, smart technologies, and wireless sensor networks.
Microfluidic Electrochemical Sensor for Online Detection of Chemical Oxygen Demand Based on AuNPs/Au Electrodes
Author: Yang Xiaozhan, Wu Haotian, Xie Song
Published in: IEEE Sensors Journal (Volume: 24, Issue: 23, December 2024)
Summary Contributed by: Xiaozhan Yang (Author)
Chemical oxygen demand (COD) is a key parameter for water quality assessment. The paper presents a compact, microfluidic electrochemical sensor for real-time monitoring of COD in water. The sensor uses gold nanoparticles (AuNPs) on modified gold electrodes to enhance sensitivity and accuracy. It does real-time COD monitoring with high efficiency and quick response, i.e., 3 minutes. Successful tests on water samples highlight its potential for water quality monitoring and environmental management.
Triaxial 3-D-Channeled Soft Optical Sensor for Tactile Robots
Author: Matteo Lo Preti, Federico Bernabei, Anderson B. Nardin, Lucia Beccai
Published in: IEEE Sensors Journal (Volume: 24, Issue: 17, September 2024)
Summary Contributed by: Payal Savani
Robotic systems integrated with sensors show enhanced performance in challenging environments and tasks. The proposed novel triaxial 3D-channeled soft fingertip-shaped optical sensor designed for tactile robots uses transparent channels to detect forces in three dimensions. The compact and flexible sensors made from soft materials with optical waveguides enhance the robot's sensitivity to touch. It offers flexibility and accuracy for real-time tactile feedback, showing potential for real-time force detection in robotic hands.
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Toshihiko Noda (Author)
Accurate plant monitoring is vital for smart agriculture. Traditional pH sensors struggle with light interference and require dark conditions for accurate pH measurement. This study introduces a novel pH image sensor mitigating light interference. Employing dual-pixel technology, it distinguishes between pH and light signals, enabling precise measurements under illumination. Results show errors within 10%, a significant improvement over existing methods. This advancement facilitates real-time multi-ion sensing for optimized crop management.
Noninvasive Blood Glucose Measurement Using RF Spectroscopy and a LightGBM AI Model
Author: Dominic Klyve, Steve Lowe, Kaptain Currie, James H. Anderson, Carl Ward, Barry Shelton
Published in: IEEE Sensors Journal (Volume: 24, Issue: 17, September 2024)
Summary Contributed by: Saurabh Dubey
Blood glucose monitoring is crucial in diabetes patients. This paper combines radiofrequency (RF) spectroscopy with a LightGBM AI model to explore a non-invasive method for measuring blood glucose levels. RF signals detect the change in blood glucose concentration in the skin, which is processed through the AI model to estimate blood glucose levels accurately. The approach aims to provide a non-invasive, safe, and convenient way for regular glucose monitoring in diabetic care.
Radar detection of smaller targets requires lowering the radar cross-section and velocity thresholds. With it, an abundance of target signatures gets generated, making it necessary to classify only relevant targets. Micro-motions of targets are significant characteristics. Micro-Doppler signatures have emerged as an effective method of classifying such targets. The study presents a systematic review of various micro-Doppler-based radar target signature analysis and classification techniques.
Smart bandages can accelerate healing, avoiding infections of severe injuries or surgical wounds by real-time wound assessments. The wound’s healing state can be predicted by tracking parameters like temperature, pressure, pH, and acidity. A smart bandage prototype embedded with wireless temperature and pressure sensors based on a conductive polymer, PEDOT: PSS (poly(3,4-ethylenedioxythiophene) polystyrene sulfonate), and an NFC (Near-field communication) tag is proposed. This battery-less system provides a cost-effective alternative for medical applications.
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