Andrei Shkel
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IEEE Sensors Letters

IEEE Sensors Letters is an electronic journal dedicated to publishing short manuscripts, quickly, on the latest and most significant developments in the field of sensors.

Latest Articles

Tear-Based Electrochemical Sensor for Detecting Complement III Protein Using Indium-Doped Zinc Oxide Nanofibers With Superior Dielectric Properties

Dinesh Ramkrushna Rotake; Tanmoya Nemai Ghosh; Shiv Govind Singh

The development of biomarker-based diagnostic devices is undoub-tedly changing the healthcare sector and reshaping clinical trial designs for disease prediction and therapeutic guidance. Age-related macular degeneration (AMD) is a chronic eye disease for ageing adults, which severely affects their vision, and the damage is irreversible. The use of tears for noninvasive sampling to quickly diagnose ocular diseases has always been appealing. In this work, we aim to deliver a noninvasive complement component III (C3) biomarker-based electrochemical biosensor for early diagnosis of AMD using human tears. Here, indium zinc oxide (InZnO) nanofibers are used as a biotransducing element, where ZnO is an n-type semiconductor with a wide band gap of 3.35–3.37 eV, and the incorporation of a group III element, i.e., indium, is used to improve its free charge carrier concentration. The conduction mechanism in the InZnO nanofibers is investigated through a dielectric study, unveiling that conduction depends on both frequency and temperature. Furthermore, the electrochemical biosensor was constructed by immobilizing the monoclonal anti-C3 antibody on the InZnO nanofiber using a suitable linker. The biosensor was calibrated by spiking a wide range of C3 protein concentrations from 50 pg/mL to 5 μ g/mL in an artificial tears matrix and capturing the electrochemical response using electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and differential pulse voltammetry (DPV) techniques. The developed InZnO-based electrochemical biosensor response was also validated by testing the C3 protein in human tears from three healthy adults.

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Popular Articles

Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat

In this letter, we present a custom-designed and flexible readout circuitry for the characterization of flexible and planar electrolyte-gated carbon nanotube field-effect transistor-based biosensors for ammonium detection in sweat. We employed spray-deposited semiconducting carbon nanotubes as active material, and functionalized the devices with previously synthesized ion-selective membrane, based on the nonactin ionophore. In the design of the readout circuitry, we focused on enabling low-power operation with a single coin-cell battery with compact wireless data transmission. To maximize the bendability of the flexible PCB, particular attention was taken in layout routing as well as in selecting small-sized packages for the commercial integrated circuits and all-in-one systems such as programmable Bluetooth system-on-chip (i.e., ST microelectronics BlueNRG SoC). We recorded a high sensitivity of 4.516 μ A/decade for sweat ammonium level analysis between 0.1 and 100 mM, which fully covers the relevant range of interest in the context of sport monitoring. The characterization was carried out with the introduced front-end readout, and the results were benchmarked with a “gold standard” instrument, showing good and reliable performance of the developed fully flexible bioelectronic system.

Soft Tactile Sensors Having Two Channels With Different Slopes for Contact Position and Pressure Estimation

Tactile information is usually important for object manipulation and grasping. Typically, soft hands and tactile sensors can deform passively and contribute to stable grasping. In particular, soft tactile sensors that use conductive materials as sensor elements can acquire contact information, including the contact position and pressure; however, this tactile information cannot be classified. This study attempts to classify tactile information based on conductive material arrangements. To this end, we develop a soft tactile sensor composed of a silicone rubber body with two channels filled with a conductive material. The two channels are arranged so that they are parallel from the top view and angled with different slopes from the side view. Our experimental data reveal that the contact position parallel to the channels can be determined based on the resistance changes in the two channels, whereas the pressure can be obtained through a model based on the estimated value of the contact position.

Smart Glove With Fully Integrated Textile Sensors And Wireless Sensor Frontend For The Tactile Internet

In this letter, we present a smart glove for Tactile Internet applications. The individual finger motions are measured via resistive strain sensors. The strain sensors are directly integrated with the textile glove and are produced in an automated process. The sensor glove is integrated with sensor conditioning, controller, wireless frontend, and battery. We investigate the measured sensor data for a variety of gestures, demonstrating the good quality of the data allowing for easy and low-energy gesture recognition.

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Editorial Board

Andrei Shkel
University of California, Irvine, USA
Deepak Uttamchandani
Associate Editor-in-Chief
Strathclyde University, Glasgow, UK
Francisco Falcone
Associate Editor-in-Chief
Univ. Publica de Navarra, Spain
Thilo Sauter
Associate Editor-in-Chief
TU Wien and Danube University, Krems, Austria
Srinivas Tadigadapa
Founding Editor-in-Chief (2017-2022)
Northeastern University, USA
David Elata
Sensor Phenomena and Modeling Topical Editor
Technion, Haifa, Israel
Michael Kraft
Sensor/Electronic Interfaces Topical Editor
University of Liège, Belgium
Doruk Senka
Associate Editor
Reality Labs, Meta, USA
Chia-Chan Chang
Associate Editor
National Chung-Cheng University, Taiwan
Karthik Shankar
Associate Editor
University of Alberta, Edmonton, Canada
Sheng-Shian Li
Associate Editor
National Tsing Hua University, Taiwan
Saakshi Dhanekar
Associate Editor
Indian Institute of Technology, Jodhpur, India
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