Recognition of glycosaminoglycan chemical patterns using an unbiased sensor array

被引：56

作者：

Elci, S. Gokhan ^{[1
]}

Moyano, Daniel F. ^{[1
]}

Rana, Subinoy ^{[1
]}

Tong, Gulen Yesilbag ^{[1
]}

Phillips, Ronnie L. ^{[2
]}

Bunz, Uwe H. F. ^{[3
]}

Rotello, Vincent M. ^{[1
]}

机构：

[1] Univ Massachusetts, Dept Chem, Amherst, MA 01003 USA

[2] Georgia Inst Technol, Sch Chem & Biochem, Atlanta, GA 30332 USA

[3] Heidelberg Univ, Inst Organ Chem, D-69120 Heidelberg, Germany

来源：

CHEMICAL SCIENCE | 2013年 / 4卷 / 05期

关键词：

MOLECULAR RECOGNITION; FLUORESCENT; QUANTIFICATION; NANOPARTICLES; COMPLEXES; NOSES;

D O I：

10.1039/c3sc22279a

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A sensor array composed of eight functionalized gold nanoparticles and a fluorescent polymer was utilized to identify 11 glycosaminoglycans (GAGs) by their chemical signatures. Particle ligand structure was key in differentiating analytes, with aromatic and specific sugar functionalities recognizing GAG structural parameters including sulfonation, acetylation, epimeric structure, size, and charge.

引用

页码：2076 / 2080

页数：5

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