| Title |
Recombinant protein embedded liposome on gold nanoparticle based on LSPR method to detect Corona virus
|
|---|---|
| Published in |
Nano Convergence, October 2023
|
| DOI | 10.1186/s40580-023-00399-x |
| Pubmed ID | |
| Authors |
Lina Kim, Seongjae Jo, Gyeong-Ji Kim, Kyung Ho Kim, Sung Eun Seo, Eunsu Ryu, Chan Jae Shin, Yu Kyung Kim, Jeong-Woo Choi, Oh Seok Kwon |
| Abstract |
Antibody sensor to detect viruses has been widely used but has problems such as the difficulty of right direction control of the receptor site on solid substrate, and long time and high cost for design and production of antibodies to new emerging viruses. The virus detection sensor with a recombinant protein embedded liposome (R/Li) was newly developed to solve the above problems, in which R/Li was assembled on AuNPs (Au@R/Li) to increase the sensitivity using localized surface plasmon resonance (LSPR) method. Recombinant angiotensin-converting enzyme-2 (ACE2) was used as host receptors of SARS-CoV and SARS-CoV-2, and the direction of enzyme active site for virus attachment could be controlled by the integration with liposome. The recombinant protein embedded liposomes were assembled on AuNPs, and LSPR method was used for detection. With the sensor platform S1 protein of both viruses was detected with detection limit of 10 pg/ml and SARS-CoV-2 in clinical samples was detected with 10 ~ 35 Ct values. In the selectivity test, MERS-CoV did not show a signal due to no binding with Au@R/Li. The proposed sensor platform can be used as promising detection method with high sensitivity and selectivity for the early and simple diagnosis of new emerging viruses. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 40% |
| Researcher | 1 | 20% |
| Other | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 40% |
| Environmental Science | 1 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2023.
All research outputs
#17,188,521
of 25,249,294 outputs
Outputs from Nano Convergence
#79
of 128 outputs
Outputs of similar age
#189,258
of 349,173 outputs
Outputs of similar age from Nano Convergence
#3
of 4 outputs
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