4.8 Article

Catalyst-Free Cycloaddition Reaction for the Synthesis of Glyconanoparticles

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 8, Issue 41, Pages 28136-28142

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.6b07471

Keywords

carbohydrates; glyconanomaterials; coupling chemistry; perfluoroaryl azides; F-19 qNMR

Funding

  1. National Institutes of Health [R21AI109896]
  2. National Science Foundation [CHE-1112436]
  3. KTH
  4. Marie Curie Initial Training Network DYNANO [PITN-GA-2011-289033]
  5. CIBER of Respiratory Diseases (CIBERES), an initiative from the Spanish Institute of Health Carlos III (ISCIII)
  6. Spanish Ministry of Economy and Competitiveness [BFU2012-36825, BFU2015-70052-R]
  7. China Scholarship Council

Ask authors/readers for more resources

A new conjugation method for the immobilization of carbohydrates on nanomaterials was demonstrated simply by mixing perfluorophenyl azide-functionalized silica nanoparticles (SNPs), an amine-derivatized carbohydrate, and phenylacetaldehyde under ambient conditions without any catalyst. The density of carbohydrates on the glyconanoparticles was determined using the quantitative F-19 NMR (F-19 qNMR) technique; for example, the density of D-mannose (Man) on Man-SNPs was 2.5 +/- 0.2 x 10(-16) nmol/nm(2). The glyconanoparticles retained their binding affinity and selectivity toward cognate lectins. The apparent dissociation constant of the glyconanoparticles was measured by a fluorescence competition assay, where the binding affinity of Man-SNPs was almost 4 orders of magnitude higher than that of Man with concanavalin A. Moreover, even with a ligand density of 2.6 times lower than Man-SNPs synthesized by the copper catalyzed azide-alkyne cycloaddition, the binding affinity of Man-SNPs prepared by the current method was more than 4 times higher.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available