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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| Hauptverfasser: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2 April 2013
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| In: |
Chemical science
Year: 2013, Jahrgang: 4, Heft: 5, Pages: 2076-2080 |
| ISSN: | 2041-6539 |
| DOI: | 10.1039/C3SC22279A |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1039/C3SC22279A Verlag, lizenzpflichtig, Volltext: https://pubs.rsc.org/en/content/articlelanding/2013/sc/c3sc22279a |
| Verfasserangaben: | S. Gokhan Elci, Daniel F. Moyano, Subinoy Rana, Gulen Yesilbag Tonga, Ronnie L. Phillips, Uwe H. F. Bunz and Vincent M. Rotello |
| Zusammenfassung: | 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. |
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| Beschreibung: | Gesehen am 01.02.2021 |
| Beschreibung: | Online Resource |
| ISSN: | 2041-6539 |
| DOI: | 10.1039/C3SC22279A |