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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)
High-Throughput Separation of Alexandrium Cells Based on Deterministic Lateral Displacement Arrays With Different Post Shapes
Author: Wang Junsheng, Ding Gege, Liu Jiayue, Wang Yanjuan, Wen Jie, Yan Yuxian, Zhao Jun
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Kamalesh Tripathy
Separating and purifying algae cells is crucial for studying algae and monitoring algal blooms in water bodies. This paper explores a novel algae separation technique, mainly for Alexandrium algae, a leading cause of red tide that affects the marine environment. It utilizes a deterministic lateral displacement (DLD)-based microfluidic chip with two different micropillar designs to separate microalgae cells, facilitating fast, high-throughput, and large-scale separation of Alexandrium cells vital for protecting marine ecosystems.
A 30-nΩ Accuracy Low Power Two-Step Ratiometric Shunt Resistance Measurement System Using a Switching Regulator- Based Current Generator for Shunt- Based Current Sensors
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Shogo Kawahara (Author)
Shunt-based current sensors have low offset and low gain error, and they are used for accurate estimation of the state-of-charge of the batteries in automotive applications. However, the gain error changes by ~1% due to the long-term drift of the shunt resistance (RS). This paper proposes a two-step ratiometric resistance measurement system that can measure a 25 µΩ RS with an accuracy of ≤ 30 nΩ (0.12%) to calibrate the drift.
Split Gate Bulk-Planar Junctionless FET-Based Biosensor for Label-Free Detection of Biomolecules
Author: Deepika Singh, Ganesh C. Patil, Bikash Dev Choudhury
Published in: IEEE Sensors Journal (Volume: 24, Issue: 18, September 2024)
Summary Contributed by: Saurabh Dubey
The split-gate Bulk-planar junctionless field-effect transistors (SG-BPJLFET) biosensor offers cost-effective, high sensitivity, and precise detection of biomolecules through drain current changes. Its innovative design enhances selectivity and sensitivity by leveraging a split-gate structure and junctionless architecture, ensuring effective biomolecule interaction and charge modulation. The device exhibits fast response and high performance due to the reduced leakage current and scalable fabrication. It holds the potential for medical diagnostics and advanced biosensing.
Double-Beam Cantilever Probe for Crack Probability Analysis of Multilayer Substrates During Wafer Probing
Author: Tremmel Florian, Holmer Rainer, Kutter Christoph, Nagler Oliver
Published in: IEEE Sensors Journal (Volume: 24, Issue: 24, December 2024)
Summary Contributed by: Tremmel Florian (Author)
Semiconductor devices undergo mechanical stress during functionality checks in the wafer prober, which may cause hidden cracks. This paper introduces an innovative double-beam cantilever probe to evaluate these cracks in multilayer substrate during wafer probing. This sensor solution regulates the load limits of the chips and detects crack sounds faster in real-time, ensures safer and more reliable chip testing, and offers a promising solution for wafer probing processes in semiconductor manufacturing.
Subblescope: Novel Thin-Film Haptic Sensing Using a Single-Bubble Approach
Author: Debadutta Subudhi, Prasanna K. Routray, Manivannan Muniyandi
Published in: IEEE Sensors Journal (Volume: 24, Issue: 18, September 2024)
Summary Contributed by: Anupama
The Subblescope is a novel vision-based haptic sensor that uses a single air bubble embedded in a flexible elastomer to detect and measure forces. By capturing and analyzing the deformation of the bubble, the sensor can perform precise measurements of force and torque, enabling accurate tactile sensing. This simple yet effective design has potential applications in robotics, virtual reality, and human-computer interaction.
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.
The emerging application of consumer grade EEG measuring sensors and advancement in technology, which had made it portable and affordable, has made it accessible in the general market. EEG devices now have a broader use other than medicine. The researchers, educationists, game developers, engineers, and psychiatrists are enthusiastic about the consumer grade EEG device, which has made the study of the brain accessible and its application quite convenient.
In the realm of smart machines and interconnected devices, the Industrial Internet of Things (IIoT) is ushering in a revolution across industries. Due to a constant stream of diverse and time-stamped data, real-time anomaly detection becomes paramount for industrial process improvement. The article explores a hybrid deep anomaly detection (DAD) model that could accurately identify real-time anomalies. Experimental results showcase its superior performance in terms of accuracy and precision over existing methods.
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