Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model
Тип публикации: Journal Article
Дата публикации: 2021-11-03
SCImago Q1
Tоп 10% SCImago
WOS Q1
БС1
SJR: 1.358
CiteScore: 10.7
Impact factor: 7.3
ISSN: 00032700, 15206882, 21542686
PubMed ID:
34730332
Analytical Chemistry
Краткое описание
It is highly challenging to construct the best SERS hotspots for the detection of proteins by surface-enhanced Raman spectroscopy (SERS). Using its own characteristics to construct hotspots can achieve the effect of sensitivity and specificity. In this study, we built a fishing mode device to detect the receptor-binding domain (RBD) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at low concentrations in different detection environments and obtained a sensitive SERS signal response. Based on the spatial resolution of proteins and their protein-specific recognition functions, SERS hotspots were constructed using aptamers and small molecules that can specifically bind to RBD and cooperate with Au nanoparticles (NPs) to detect RBD in the environment using SERS signals of beacon molecules. Therefore, two kinds of AuNPs modified with aptamers and small molecules were used in the fishing mode device, which can specifically recognize and bind RBD to form a stable hotspot to achieve high sensitivity and specificity for RBD detection. The fishing mode device can detect the presence of RBD at concentrations as low as 0.625 ng/mL and can produce a good SERS signal response within 15 min. Meanwhile, we can detect an RBD of 0.625 ng/mL in the mixed solution with various proteins, and the concentration of RBD in the complex environment of urine and blood can be as low as 1.25 ng/mL. This provides a research basis for SERS in practical applications for protein detection work.
Найдено
Ничего не найдено, попробуйте изменить настройки фильтра.
Для доступа к списку цитирований публикации необходимо авторизоваться.
Топ-30
Журналы
|
1
2
3
4
|
|
|
Analytical Chemistry
4 публикации, 11.11%
|
|
|
Sensors and Actuators, B: Chemical
3 публикации, 8.33%
|
|
|
The Analyst
2 публикации, 5.56%
|
|
|
ACS Applied Nano Materials
2 публикации, 5.56%
|
|
|
Analytica Chimica Acta
2 публикации, 5.56%
|
|
|
ACS Nano
2 публикации, 5.56%
|
|
|
ACS Applied Polymer Materials
1 публикация, 2.78%
|
|
|
Biosensors
1 публикация, 2.78%
|
|
|
Diagnostics
1 публикация, 2.78%
|
|
|
Advanced Fiber Materials
1 публикация, 2.78%
|
|
|
Biosensors and Bioelectronics
1 публикация, 2.78%
|
|
|
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
1 публикация, 2.78%
|
|
|
ChemMedChem
1 публикация, 2.78%
|
|
|
Analysis & Sensing
1 публикация, 2.78%
|
|
|
Chemistry - An Asian Journal
1 публикация, 2.78%
|
|
|
Chemical Science
1 публикация, 2.78%
|
|
|
Journal of Physical Chemistry Letters
1 публикация, 2.78%
|
|
|
Applied Physics Reviews
1 публикация, 2.78%
|
|
|
Nano Convergence
1 публикация, 2.78%
|
|
|
ACS applied materials & interfaces
1 публикация, 2.78%
|
|
|
Journal of Physical Chemistry C
1 публикация, 2.78%
|
|
|
Chemical Society Reviews
1 публикация, 2.78%
|
|
|
Analytical and Bioanalytical Chemistry
1 публикация, 2.78%
|
|
|
Advanced Science
1 публикация, 2.78%
|
|
|
Journal of Raman Spectroscopy
1 публикация, 2.78%
|
|
|
Russian Chemical Reviews
1 публикация, 2.78%
|
|
|
1
2
3
4
|
Издатели
|
2
4
6
8
10
12
|
|
|
American Chemical Society (ACS)
12 публикаций, 33.33%
|
|
|
Elsevier
7 публикаций, 19.44%
|
|
|
Wiley
5 публикаций, 13.89%
|
|
|
Springer Nature
4 публикации, 11.11%
|
|
|
Royal Society of Chemistry (RSC)
4 публикации, 11.11%
|
|
|
MDPI
2 публикации, 5.56%
|
|
|
AIP Publishing
1 публикация, 2.78%
|
|
|
Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 публикация, 2.78%
|
|
|
2
4
6
8
10
12
|
- Мы не учитываем публикации, у которых нет DOI.
- Статистика публикаций обновляется еженедельно.
Вы ученый?
Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
Войти с ORCID
Метрики
36
Всего цитирований:
36
Цитирований c 2025:
5
(13.89%)
Цитировать
ГОСТ |
RIS |
BibTex |
MLA
Цитировать
ГОСТ
Скопировать
Huang G. et al. Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model // Analytical Chemistry. 2021. Vol. 93. No. 48. pp. 16086-16095.
ГОСТ со всеми авторами (до 50)
Скопировать
Huang G., Zhao H., Li P., Liu J., Chen S., Ge M., Qin M., Zhou G., Wang Y., Li S., Cheng Y., Huang Q., Wang J., Wang H., Yang L. Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model // Analytical Chemistry. 2021. Vol. 93. No. 48. pp. 16086-16095.
Цитировать
RIS
Скопировать
TY - JOUR
DO - 10.1021/acs.analchem.1c03807
UR - https://doi.org/10.1021/acs.analchem.1c03807
TI - Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model
T2 - Analytical Chemistry
AU - Huang, Guangyao
AU - Zhao, Hongxin
AU - Li, Pan
AU - Liu, Juanjuan
AU - Chen, Siyu
AU - Ge, Meihong
AU - Qin, Miao
AU - Zhou, Guoliang
AU - Wang, Yongtao
AU - Li, Shaofei
AU - Cheng, Yizhuang
AU - Huang, Qiang
AU - Wang, Junfeng
AU - Wang, Hongzhi
AU - Yang, Liangbao
PY - 2021
DA - 2021/11/03
PB - American Chemical Society (ACS)
SP - 16086-16095
IS - 48
VL - 93
PMID - 34730332
SN - 0003-2700
SN - 1520-6882
SN - 2154-2686
ER -
Цитировать
BibTex (до 50 авторов)
Скопировать
@article{2021_Huang,
author = {Guangyao Huang and Hongxin Zhao and Pan Li and Juanjuan Liu and Siyu Chen and Meihong Ge and Miao Qin and Guoliang Zhou and Yongtao Wang and Shaofei Li and Yizhuang Cheng and Qiang Huang and Junfeng Wang and Hongzhi Wang and Liangbao Yang},
title = {Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model},
journal = {Analytical Chemistry},
year = {2021},
volume = {93},
publisher = {American Chemical Society (ACS)},
month = {nov},
url = {https://doi.org/10.1021/acs.analchem.1c03807},
number = {48},
pages = {16086--16095},
doi = {10.1021/acs.analchem.1c03807}
}
Цитировать
MLA
Скопировать
Huang, Guangyao, et al. “Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model.” Analytical Chemistry, vol. 93, no. 48, Nov. 2021, pp. 16086-16095. https://doi.org/10.1021/acs.analchem.1c03807.
Ошибка в публикации?