IEEE Sensors Magazine (SEM)

Design and Optimization of a Highly Sensitive Surface Plasmon Resonance Biosensor for Accurate Detection of Mycobacterium tuberculosis

Author: Mahmud Russel Reza, Barua Bobby, Islam M. Shariful, Mondal Tanu Prava, Rafi Shah Ali
Published in: IEEE Sensors Journal (Volume: 25, Issue: 6, March 2025)
Surface Plasmon Resonance (SPR) has transformed medical diagnostics. This paper presents a highly sensitive SPR biosensor developed for the accurate detection of tuberculosis (TB) causing bacteria, Mycobacterium tuberculosis. By leveraging a novel hybrid structure incorporating black phosphorus and optimized material layers, the sensor achieved remarkable angular sensitivity, enabling rapid, label-free diagnosis with high precision. It can detect even trace amounts of bacteria, providing a powerful tool for faster and accurate TB screening.
5 min
October 7, 2025

A Fully Differential Analog Read-Out Circuit for Differential Capacitive Sensors

Author: Barile Gianluca, Esposito Paolo, Ferri Giuseppe, Stornelli Vincenzo
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
The ease of fabrication and versatile use make capacitive sensors a popular choice. This work introduces a fully differential analogue read-out circuit for differential capacitive sensors, featuring an auto-balancing bridge with voltage-controlled capacitors (VCCs) and integral negative feedback. The interface achieved 102 mV/pF sensitivity, and a linearity error of 0.47%, with 8–11 ms dynamic response times. The design enhances sensitivity and linearity, reduces parasitic effects, and demonstrates strong potential for precision sensing.
5 min
October 14, 2025

Smart, Wearable and Power-Controlled Mixed-Signal Platform for Screening and Follow-Up of Cystic Fibrosis Based on Real-Time Chloride Concentration Evaluation in Sweat

Author: De Venuto Daniela, Bollella Paolo, De Venuto Domenica, Mascellaro Grazia, Spadavecchia Giuseppe, Torsi Luisa
Published in: IEEE Sensors Journal (Volume: 25, Issue: 5, March 2025)
Wearable sensors have garnered significant attention in recent years, particularly in the realm of personalized diagnostics and continuous health monitoring. This paper discusses the development of a wearable sweat-based sensor system for monitoring cystic fibrosis (CF) in patients. It offers a resolution of ±2 mV and sensitivity of 56.9 mV/dec, with an average power consumption of 350 micro watts. The sensor is a compact, energy-efficient, and developed for home use.
5 min
September 16, 2025