Classification of lectins by pattern recognition using glyconanoparticles

Anal Chem. 2013 Nov 5;85(21):10277-81. doi: 10.1021/ac402069j. Epub 2013 Oct 16.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carbohydrate Sequence
  • Carbohydrates / chemistry*
  • Discriminant Analysis
  • Gold / chemistry
  • Lectins / classification*
  • Metal Nanoparticles*
  • Spectrophotometry, Ultraviolet

Substances

  • Carbohydrates
  • Lectins
  • Gold