Synchronous Diagnosis of Respiratory Viruses Variants via Receptonics Based on Modeling Receptor‒Ligand Dynamics

Abstract

The transmission and pathogenesis of highly contagious fatal respiratory viruses are increasing, and the need for an on‐site diagnostic platform has arisen as an issue worldwide. Furthermore, as the spread of respiratory virus continues, different variants have become the dominant circulating strains. To prevent virus transmission, the development of highly sensitive and accurate on‐site diagnostic assays is urgently needed. Herein, we present a facile diagnostic device for multi‐detection based on the results of detailed receptor‒ligand dynamics simulations for the screening of various viral strains. Our novel bioreceptor‒treated electronics (receptonics) device consists of a multichannel graphene transistor and cell‐entry receptors conjugated to N‐heterocyclic carbene (NHC). We achieved ultrasensitive multi‐detection performance without the need for sample pretreatment, which will enable rapid diagnosis and prevent the spread of pathogens. This platform can be applied for the diagnosis of variants of concern in clinical respiratory virus samples and primate models. Our multi‐screening platform can be used to enhance surveillance and discriminate emerging virus variants before they become a severe threat to public health.This article is protected by copyright. All rights reserved

Rational Design of 3D Polymer Corona Interfaces of Single-Walled Carbon Nanotubes for Receptor-Free Virus Recognition

“…We constructed structural models of the virus–nanosensor docking complexes based on the lowest-energy docking solutions identified within each cluster of AutoDock results (Figure a). Due to the computational limitation of SWCNTs, the docking simulations between the PEG-lipid ligand and protein were only conducted. , Among our 14 nanosensors, those involving PEG5000 and the DSPE lipid series were excluded from the simulations due to their excessively large memory for simulation. Docking affinity is calculated based on chemical potential energy (kcal/mol).…”

N‐Heterocyclic Carbene–Graphene Nanotransistor Based on Covalent Bond for Ultrastable Biosensors

“…[4] Therefore, interfacing chemistry for the modification of graphene surfaces, which provides more stability, sensitivity and specificity owing to its doping effect and covalent surface modification, has been developed to overcome the limitations of GFET. [5,6] The main modification techniques on a graphene basal plane to achieve GFET interfacing chemistry in biosensors are i) covalent functionalization with a single bond, double bond or two single bonds [7][8][9][10] and ii) noncovalent functionalization. [6,[11][12][13] Compared to the latter method, the covalent bonding methodology is a more attractive method because the electrical properties of Graphene fieldeffect transistors can be controlled; as a result, the attachment capacity of bioreceptors is controlled, the passivation effect of the graphene surface is enhanced, and ultrastable high-performance GFET biosensors are produced.…”