Concept for Detection of Viral Agents via Optically Induced Electrical Signals
O. Ivanov
, P. Todorov
, Zh. Stoyanov
, K. Kostadinov
, Y. Manga
Abstract: Introduction: In our research we have discovered a phenomenon known as the electro magnetic echo effect (EMEE), which generates a detectable signal when electromagnetic radiation interacts with solid matter. The signal is extremely sensitive to small changes in gas, liquid, and solid composition, allowing fast and real time control. After successful previous experiments, we propose the idea of creating a sensor system to identify viruses. The goal is to detect pathogens in air, on surfaces, and in body fluids by sensing the reaction between viruses and a solid layer of immobilized antibodies. These signals are typically too weak to be perceived, but EMEE is well suited for detecting them. Methods: This article presents the concept of developing such a sensor. This concept is continuation of our previous research projects, such as designing sensors for the detection of chemical and biological fluids and airborne contaminants. The present work is conceptual and does not include direct experimental data for specific viral detection yet. Conclusion: Our previous studies of reactions at the solid–air interface have demonstrated high sensitivity and signal stability, supporting the expectation that similar performance can be achieved in the present case. Discussion: EMEE sensors can be applied to various high-risk locations and connected with artificial intelligence. These sensors can be integrated into mobile and smart infrastructure, with a flexible and scalable platform to advanced bio-sensing and public health monitoring. Potential advantages of the proposed approach include high sensitivity and rapid response, although factors such as selectivity and possible environmental interferences require further investigation.
Series on Biomechanics, Vol.40, No. 1 (2026), 58-66
DOI: 10.7546/SB.01.08.2026
Keywords: Antibodies immobilization; Biosensor; Electromagnetic echo effect; Pathogens; Virus detection
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| Date published: 2026-03-23
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