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Classification of lectins by pattern recognition using glyconanoparticles
- Source :
- Analytical chemistry. 85(21)
- Publication Year :
- 2013
-
Abstract
- Carbohydrate-functionalized gold nanoparticles were employed to differentiate plant-legume lectins using a statistical analysis method of linear discriminant analysis (LDA). Various carbohydrates were conjugated on gold nanoparticles, and the resulting glyconanoparticles were treated with lectins. Changes in the localized surface plasmon resonance of the glyconanoparticles upon lectin binding were recorded, and the data were subjected to LDA. Results showed that the glyconanoparticles successfully differentiated all lectins.
- Subjects :
- Chromatography
Chemistry
Carbohydrates
Discriminant Analysis
Metal Nanoparticles
Conjugated system
Linear discriminant analysis
Article
Analytical Chemistry
Carbohydrate Sequence
Colloidal gold
Lectin binding
Lectins
Pattern recognition (psychology)
Biophysics
Statistical analysis
Spectrophotometry, Ultraviolet
Gold
Surface plasmon resonance
Metal nanoparticles
Subjects
Details
- ISSN :
- 15206882
- Volume :
- 85
- Issue :
- 21
- Database :
- OpenAIRE
- Journal :
- Analytical chemistry
- Accession number :
- edsair.doi.dedup.....d9683388c887d100412daafd29f36d97