Solid-phase optical sensing techniques for sensitive virus detection

Date
2023-05-24
Authors
Seymour, Elif
Ekiz Kanik, Fulya
Bakhshpour-Yucel, Monireh
Araz, Ali
Lortlar Ünlü, Nese
Ünlü, M. Selim
Version
Published version
OA Version
Citation
E. Seymour, F. Ekiz Kanik, S. Diken Gür, M. Bakhshpour-Yucel, A. Araz, N. Lortlar Ünlü, M.S. Ünlü. 2023. "Solid-Phase Optical Sensing Techniques for Sensitive Virus Detection." Diversity, Volume 23, Issue 11, pp.5018-. https://doi.org/10.3390/s23115018
Abstract
Viral infections can pose a major threat to public health by causing serious illness, leading to pandemics, and burdening healthcare systems. The global spread of such infections causes disruptions to every aspect of life including business, education, and social life. Fast and accurate diagnosis of viral infections has significant implications for saving lives, preventing the spread of the diseases, and minimizing social and economic damages. Polymerase chain reaction (PCR)-based techniques are commonly used to detect viruses in the clinic. However, PCR has several drawbacks, as highlighted during the recent COVID-19 pandemic, such as long processing times and the requirement for sophisticated laboratory instruments. Therefore, there is an urgent need for fast and accurate techniques for virus detection. For this purpose, a variety of biosensor systems are being developed to provide rapid, sensitive, and high-throughput viral diagnostic platforms, enabling quick diagnosis and efficient control of the virus's spread. Optical devices, in particular, are of great interest due to their advantages such as high sensitivity and direct readout. The current review discusses solid-phase optical sensing techniques for virus detection, including fluorescence-based sensors, surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), optical resonators, and interferometry-based platforms. Then, we focus on an interferometric biosensor developed by our group, the single-particle interferometric reflectance imaging sensor (SP-IRIS), which has the capability to visualize single nanoparticles, to demonstrate its application for digital virus detection.
Description
License
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).