Impact of Nanotechnology on Conventional and Artificial Intelligence-based Biosensing Strategies for the Detection of Viruses

Overview

Journal Discov Nano

Date 2023 Apr 10

PMID 37032711

Authors

Murugan Ramalingam

Abinaya Jaisankar

Lijia Cheng

Sasirekha Krishnan

Liang Lan

Anwarul Hassan

Hilal Turkoglu Sasmazel

Hirokazu Kaji

Hans-Peter Deigner

Jose Luis Pedraz

Hae-Won Kim

Zheng Shi

Giovanna Marrazza

Affiliations

Soon will be listed here.

Abstract

Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensitivity remains an issue. Therefore, the development of better diagnostic tools that facilitate the more efficient detection of viruses and other pathogens has become important. Nanotechnology has been recognized as a powerful tool for the detection of viruses, and it is expected to change the landscape of virus detection and analysis. Recently, nanomaterials have gained enormous attention for their value in improving biosensor performance owing to their high surface-to-volume ratio and quantum size effects. This article reviews the impact of nanotechnology on the design, development, and performance of sensors for the detection of viruses. Special attention has been paid to nanoscale materials, various types of nanobiosensors, the internet of medical things, and artificial intelligence-based viral diagnostic techniques.

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