Design and simulation of a millifluidic device for differential detection of SARS-CoV-2 and H1N1 based on triboelectricity.
Bioelectrochemistry
; 145: 108096, 2022 Jun.
Article
in English
| MEDLINE | ID: covidwho-1739560
ABSTRACT
Differential diagnosis of pathogenic diseases, presently coronavirus disease 2019 (COVID-19) and influenza, is crucial with due attention to their superspreading events, presumably long incubation period, particular complications, and treatments. In this paper, a label-free, self-powered, and ultrafast immunosensor device working based on triboelectric effect is proposed. Equilibrium constants of specific antibody-antigen reactions are accompanied by IEP-relevant electric charges of antigens to recognize SARS-CoV-2 and H1N1. Simulation attributes including fluid flow and geometrical parameters are optimized so that the maximum capture efficiency of 85.63% is achieved. Accordingly, antibody-antigen complexes form electric double layers (EDLs) across the channel interfaces. The resultant built-in electric field affects the following external electric field derived from triboelectricity, leading to the variation of open-circuit voltage as a sensing metric. The device is flexible to operate in conductor-to-dielectric single-electrode and contact-separation modes simultaneously. While the detection limit is reduced utilizing the single-electrode mode compared to the latter one, surface treatment of the triboelectric pair contributes to the sensitivity enhancement. A threshold value equal to -4.113 V is featured to discriminate these two viruses in a vast detectable region; however, further surface engineering can allow the on-site detection of any electrically-charged pathogen applying the emerging triboelectric immunosensor enjoying a lower detection limit.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Biosensing Techniques
/
Influenza A Virus, H1N1 Subtype
/
COVID-19
Type of study:
Diagnostic study
Topics:
Long Covid
Limits:
Humans
Language:
English
Journal:
Bioelectrochemistry
Journal subject:
Biochemistry
Year:
2022
Document Type:
Article
Affiliation country:
J.bioelechem.2022.108096
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