Plasmonic metamaterial based virus detection system: a review

TL;DR

This review explores recent advances in plasmonic metamaterial biosensors for rapid, low-cost virus detection, highlighting emerging quantum, AI, and novel material applications to improve healthcare diagnostics.

Contribution

It provides a comprehensive overview of recent developments in plasmonic metamaterial biosensors and discusses future research directions including quantum effects and AI integration.

Findings

Advances in plasmonic metamaterials enable rapid virus detection.

Integration of machine learning enhances biosensor performance.

Emerging quantum properties offer new sensing capabilities.

Abstract

Our atmosphere is constantly changing and new pathogens are erupting now and then and the existing pathogens are mutating continuously. Some of these pathogens, such as SARS-CoV-2, become so deadly that they put the whole technological advancement of healthcare under challenge. Within this very decade several other deadly virus outbreaks were witnessed by humans such as Zika virus, Ebola virus, MERS-coronavirus etc. Though conventional techniques have succeeded in detecting these viruses to some extent, these techniques are time-consuming, costly, and require trained human-resources. Plasmonic metamaterial-based biosensors might pave the way to low-cost rapid virus detection. So this review discusses in details the latest development in plasmonics and metamaterial-based biosensors for virus, viral particles and antigen detection and the future direction of research in this field. Emergence of quantum properties in biosensing, application of machine learning, artificial intelligence and novel materials in biosensing is also discussed in brief.