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Recognition of glycosaminoglycan chemical patterns using an unbiased sensor array

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...

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Bibliographic Details
Main Authors: Elci, S. Gokhan (Author) , Moyano, Daniel F. (Author) , Rana, Subinoy (Author) , Tonga, Gulen Yesilbag (Author) , Phillips, Ronnie L. (Author) , Bunz, Uwe H. F. (Author) , Rotello, Vincent M. (Author)
Format: Article (Journal)
Language:English
Published: 2 April 2013
In: Chemical science
Year: 2013, Volume: 4, Issue: 5, Pages: 2076-2080
ISSN:2041-6539
DOI:10.1039/C3SC22279A
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1039/C3SC22279A
Verlag, lizenzpflichtig, Volltext: https://pubs.rsc.org/en/content/articlelanding/2013/sc/c3sc22279a
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Author Notes:S. Gokhan Elci, Daniel F. Moyano, Subinoy Rana, Gulen Yesilbag Tonga, Ronnie L. Phillips, Uwe H. F. Bunz and Vincent M. Rotello
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Summary: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.
Item Description:Gesehen am 01.02.2021
Physical Description:Online Resource
ISSN:2041-6539
DOI:10.1039/C3SC22279A

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