Open Access
Intelligent and ligand-based surface-enhanced Raman spectroscopy biosensors for the instant screening of viral respiratory infections
Bo Cao
1, 2
,
Peng Lin
1, 2, 3
,
Yanling Wang
1, 2
,
Gaofeng Wang
1, 2
,
Weiwei Yang
1, 2
,
Longxiang Ren
1, 2
,
Ren Luo
1, 2
,
Zhongqiao Ge
1, 2
,
Hongjing Sui
1, 2
,
Hongtao Sui
1, 2
,
Yuan Gao
1, 2
,
Mengyuan Liu
1, 2
,
Guangcheng Bei
1, 2
,
H. Susan Zhou
4
,
Qin Zhou
1, 2
,
Feiyun Cui
1, 2
2
The Heilongjiang Provincial Joint Laboratory of Basic Medicine and Multiple Organ System Diseases (International Cooperation), Harbin, Heilongjiang, 150086, China
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Publication type: Journal Article
Publication date: 2024-10-01
scimago Q1
SJR: 0.821
CiteScore: 8.4
Impact factor: —
ISSN: 25901370
Abstract
The global spread of viral respiratory infections continues to pose a substantial threat to human health, exacerbating the societal burden. Timely and precise detection of viruses is pivotal in mitigating pandemic transmission. Currently, the prevalent diagnostic techniques for viruses include real-time quantitative polymerase chain reaction (RT-qPCR), enzyme-linked immunosorbent assay (ELISA), and colloidal gold assays. However, intricate workflows and protracted processing times of RT-qPCR and ELISA preclude real-time diagnostics, despite their high accuracy. Colloidal gold assays offer rapid turnaround. However, their accuracy and sensitivity are limited, particularly in the context of emerging variants like SARS-CoV-2, which renders them suboptimal test tools. Mounting evidence suggests that surface-enhanced Raman spectroscopy (SERS), with its streamlined operation, rapid analysis, high specificity and sensitivity, holds significant potential as a superior alternative test tool. This review consolidates various SERS-based approaches for detecting respiratory infection virus (RIV) and delineates their characteristics. The unique strengths of SERS technology, including its exceptional sensitivity, robust specificity, and expedited turnaround times, earmark it as particularly well-suited for large-scale instant screening of viral infections within populations.
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Cao B. et al. Intelligent and ligand-based surface-enhanced Raman spectroscopy biosensors for the instant screening of viral respiratory infections // Biosensors and Bioelectronics: X. 2024. Vol. 20. p. 100527.
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Cao B. et al. Intelligent and ligand-based surface-enhanced Raman spectroscopy biosensors for the instant screening of viral respiratory infections // Biosensors and Bioelectronics: X. 2024. Vol. 20. p. 100527.
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TY - JOUR
DO - 10.1016/j.biosx.2024.100527
UR - https://linkinghub.elsevier.com/retrieve/pii/S2590137024000918
TI - Intelligent and ligand-based surface-enhanced Raman spectroscopy biosensors for the instant screening of viral respiratory infections
T2 - Biosensors and Bioelectronics: X
AU - Cao, Bo
AU - Lin, Peng
AU - Wang, Yanling
AU - Wang, Gaofeng
AU - Yang, Weiwei
AU - Ren, Longxiang
AU - Luo, Ren
AU - Ge, Zhongqiao
AU - Sui, Hongjing
AU - Sui, Hongtao
AU - Gao, Yuan
AU - Liu, Mengyuan
AU - Bei, Guangcheng
AU - Zhou, H. Susan
AU - Zhou, Qin
AU - Cui, Feiyun
PY - 2024
DA - 2024/10/01
PB - Elsevier
SP - 100527
VL - 20
SN - 2590-1370
ER -
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@article{2024_Cao,
author = {Bo Cao and Peng Lin and Yanling Wang and Gaofeng Wang and Weiwei Yang and Longxiang Ren and Ren Luo and Zhongqiao Ge and Hongjing Sui and Hongtao Sui and Yuan Gao and Mengyuan Liu and Guangcheng Bei and H. Susan Zhou and Qin Zhou and Feiyun Cui and others},
title = {Intelligent and ligand-based surface-enhanced Raman spectroscopy biosensors for the instant screening of viral respiratory infections},
journal = {Biosensors and Bioelectronics: X},
year = {2024},
volume = {20},
publisher = {Elsevier},
month = {oct},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2590137024000918},
pages = {100527},
doi = {10.1016/j.biosx.2024.100527}
}