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volume 14 issue 1 pages 20

Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus

Publication typeJournal Article
Publication date2023-12-29
scimago Q1
wos Q1
SJR0.885
CiteScore9.8
Impact factor5.6
ISSN20796374, 0265928X
PubMed ID:  38248397
General Medicine
Clinical Biochemistry
Analytical Chemistry
Biotechnology
Instrumentation
Biomedical Engineering
Engineering (miscellaneous)
Abstract

Surface-enhanced Raman spectroscopy (SERS)-based aptasensors for virus determination have attracted a lot of interest recently. This approach provides both specificity due to an aptamer component and a low limit of detection due to signal enhancement by a SERS substrate. The most successful SERS-based aptasensors have a limit of detection (LoD) of 10–100 viral particles per mL (VP/mL) that is advantageous compared to polymerase chain reactions. These characteristics of the sensors require the use of complex substrates. Previously, we described silver nanoisland SERS-substrate with a reproducible and uniform surface, demonstrating high potency for industrial production and a suboptimal LoD of 4 × 105 VP/mL of influenza A virus. Here we describe a study of the sensor morphology, revealing an unexpected mechanism of signal enhancement through the distortion of the nanoisland layer. A novel modification of the aptasensor was proposed with chromium-enhanced adhesion of silver nanoparticles to the surface as well as elimination of the buffer-dependent distortion-triggering steps. As a result, the LoD of the Influenza A virus was decreased to 190 VP/mL, placing the nanoisland SERS-based aptasensors in the rank of the most powerful sensors for viral detection.

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GOST Copy
Zhdanov G. A. et al. Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus // Biosensors. 2023. Vol. 14. No. 1. p. 20.
GOST all authors (up to 50) Copy
Zhdanov G. A., Gambaryan A., Akhmetova A., Yaminsky I., Kukushkin V., Zavyalova E. Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus // Biosensors. 2023. Vol. 14. No. 1. p. 20.
RIS |
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RIS Copy
TY - JOUR
DO - 10.3390/bios14010020
UR - https://doi.org/10.3390/bios14010020
TI - Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus
T2 - Biosensors
AU - Zhdanov, Gleb A
AU - Gambaryan, Alexandra
AU - Akhmetova, Assel
AU - Yaminsky, Igor
AU - Kukushkin, Vladimir
AU - Zavyalova, Elena
PY - 2023
DA - 2023/12/29
PB - MDPI
SP - 20
IS - 1
VL - 14
PMID - 38248397
SN - 2079-6374
SN - 0265-928X
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Zhdanov,
author = {Gleb A Zhdanov and Alexandra Gambaryan and Assel Akhmetova and Igor Yaminsky and Vladimir Kukushkin and Elena Zavyalova},
title = {Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus},
journal = {Biosensors},
year = {2023},
volume = {14},
publisher = {MDPI},
month = {dec},
url = {https://doi.org/10.3390/bios14010020},
number = {1},
pages = {20},
doi = {10.3390/bios14010020}
}
MLA
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MLA Copy
Zhdanov, Gleb A., et al. “Nanoisland SERS-Substrates for Specific Detection and Quantification of Influenza A Virus.” Biosensors, vol. 14, no. 1, Dec. 2023, p. 20. https://doi.org/10.3390/bios14010020.