Issue |
MATEC Web Conf.
Volume 410, 2025
2025 3rd International Conference on Materials Engineering, New Energy and Chemistry (MENEC 2025)
|
|
---|---|---|
Article Number | 04018 | |
Number of page(s) | 7 | |
Section | Intelligent Systems and Sensor Technologies for Autonomous Operations | |
DOI | https://doi.org/10.1051/matecconf/202541004018 | |
Published online | 24 July 2025 |
Electromedical Biosensors for the Detection of Diseases
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China
* Corresponding author: 2619879@dundee.ac.uk
Infectious illnesses are harmful to all organisms, including animals and plants. The detection of the virus is limited by the level of virus number and the symptom of the patient. In order to observe the existence of a virus in time and get more time for the healthcare work for the patient, the development of an electromedical biosensor that can detect the existence of the pathogen is essential. This essay mainly discusses the structure and the principle of the new form of biosensor. During the process of researching, the author took a look at the related essays in this field to make a correct description of all the nouns mentioned in the article. The electromedical biosensor has three main components: the electrode, the biosensor elements, and immobilization and surface passivation. Every component has its own function, such as transportation and dating. The result shows that the electromedical biosensor has advantages such as higher sensitivity and wider detection limit.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.