| Chapter title |
Plasmonics-Based Detection of Virus Using Sialic Acid Functionalized Gold Nanoparticles
|
|---|---|
| Chapter number | 7 |
| Book title |
Biosensors and Biodetection
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6848-0_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6846-6, 978-1-4939-6848-0
|
| Authors |
Changwon Lee, Peng Wang, Marsha A. Gaston, Alison A. Weiss, Peng Zhang, Lee, Changwon, Wang, Peng, Gaston, Marsha A., Weiss, Alison A., Zhang, Peng |
| Editors |
Avraham Rasooly, Ben Prickril |
| Abstract |
Biosensor for the detection of virus was developed by utilizing plasmonic peak shift phenomenon of the gold nanoparticles and viral infection mechanism of hemagglutinin on virus and sialic acid on animal cells. The plasmonic peak of the colloidal gold nanoparticles changes with the aggregation of the particles due to the plasmonic interaction between nearby particles and the color of the colloidal nanoparticle solution changes from wine red to purple. Sialic acid reduced and stabilized colloidal gold nanoparticle aggregation is induced by the addition of viral particles in the solution due to the hemagglutinin-sialic acid interaction. In this work, sialic acid reduced and stabilized gold nanoparticles (d = 20.1 ± 1.8 nm) were synthesized by a simple one-pot, green method without chemically modifying sialic acid. The gold nanoparticles showed target-specific aggregation with viral particles via hemagglutinin-sialic acid binding. A linear correlation was observed between the change in optical density and dilution of chemically inactivated influenza B virus species. The detection limit of the virus dilution (hemagglutinination assay titer, 512) was shown to be 0.156 vol% and the upper limit of the linearity can be extended with the use of more sialic acid-gold nanoparticles. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 10% |
| Professor | 2 | 10% |
| Researcher | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 4 | 19% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Environmental Science | 1 | 5% |
| Chemical Engineering | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Energy | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 11 | 52% |