Self-Cognizant Bionic Liquid Sensor for Pathogen Diagnosis
Author(s) -
Bernard Fong
Publication year - 2021
Publication title -
cyborg and bionic systems
Language(s) - English
Resource type - Journals
eISSN - 2097-1087
pISSN - 2692-7632
DOI - 10.34133/2021/9861513
Subject(s) - outbreak , pandemic , infectious disease (medical specialty) , communicable disease , computer science , public health , disease , engineering , covid-19 , virology , medicine , pathology
As observed in the outbreaks of SARS and swine flu, as well as many other infectious diseases, the huge volume of human traffic across numerous enclosed public venues has posed immense challenges to preventing the spread of communicable diseases. There is an urgent need for effective disease surveillance management in public areas under pandemic outbreaks. The physicochemical properties associated with ionic liquids make them particularly suited for molecular communications in sensing networks where low throughput is quite adequate for pathogen detection. This paper presents a self-cognizant system for rapid diagnosis of infectious disease using a bionic sensor such that testing can be supported without collecting a fluid sample from a subject through any invasive methods. The system is implemented for testing the performance of the proposed bionic liquid sensing network.
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