TY - JOUR
T1 - Quantum dot nanometal surface energy transfer based biosensing of sialic acid compositions and linkages in biological samples
AU - Kikkeri, Raghavendra
AU - Padler-Karavani, Vered
AU - Diaz, Sandra
AU - Verhagen, Andrea
AU - Yu, Hai
AU - Cao, Hongzhi
AU - Langereis, Martijn A.
AU - De Groot, Raoul J.
AU - Chen, Xi
AU - Varki, Ajit
PY - 2013/4/16
Y1 - 2013/4/16
N2 - Current methods for analyzing sialic acid diversity in modifications and linkages require multistep processing, derivatization, and chromatographic analyses. We here report a single-step optical method for identification and quantification of different compositions of sialoglycans on glycoproteins and in serum. This was achieved by measuring and quantifying nanometal surface energy transfer (NSET) signals between quantum dots and gold nanoparticles bound to specific sialic acid binding proteins (SBPs) and sialic acid moieties, respectively. The biosensing process is based on the NSET turn-on by external sialic acid species that compete for binding to the SBPs. Selectivity of the biosensor toward sialoglycans can be designed to detect the total amount, glycosylation linkages (α2-6 vs α2-3), and modifications (9-O-acetyl and N-glycolyl groups) in the samples. This nanobiosensor is a prototype expected to achieve limits of the detection down to the micromolar range for high-throughput quantification and analysis of different compositions of sialoglycans present in biological or biomedical samples.
AB - Current methods for analyzing sialic acid diversity in modifications and linkages require multistep processing, derivatization, and chromatographic analyses. We here report a single-step optical method for identification and quantification of different compositions of sialoglycans on glycoproteins and in serum. This was achieved by measuring and quantifying nanometal surface energy transfer (NSET) signals between quantum dots and gold nanoparticles bound to specific sialic acid binding proteins (SBPs) and sialic acid moieties, respectively. The biosensing process is based on the NSET turn-on by external sialic acid species that compete for binding to the SBPs. Selectivity of the biosensor toward sialoglycans can be designed to detect the total amount, glycosylation linkages (α2-6 vs α2-3), and modifications (9-O-acetyl and N-glycolyl groups) in the samples. This nanobiosensor is a prototype expected to achieve limits of the detection down to the micromolar range for high-throughput quantification and analysis of different compositions of sialoglycans present in biological or biomedical samples.
UR - http://www.scopus.com/inward/record.url?scp=84876270770&partnerID=8YFLogxK
U2 - 10.1021/ac400320n
DO - 10.1021/ac400320n
M3 - מאמר
AN - SCOPUS:84876270770
VL - 85
SP - 3864
EP - 3870
JO - Analytical Chemistry
JF - Analytical Chemistry
SN - 0003-2700
IS - 8
ER -