Recognition of glycosaminoglycan chemical patterns using an unbiased sensor array

Elci, S. G. and Moyano, D. F. and Rana, S. and Tong, G. Y. and Phillips, R. L. and Bunz, U. H. F. and Rotello, V. M.. (2013) Recognition of glycosaminoglycan chemical patterns using an unbiased sensor array. Chemical Science, 4 (5). pp. 2076-2080.

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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 Type: Article
Additional Information: ISI Document Delivery No.: 117PVTimes Cited: 0Cited Reference Count: 31Elci, S. Gokhan Moyano, Daniel F. Rana, Subinoy Tong, Gulen Yesilbag Phillips, Ronnie L. Bunz, Uwe H. F. Rotello, Vincent M.NIH GM077173; Center for Hierarchical Manufacturing CMMI-1025020This work was supported by the NIH (GM077173) and the Center for Hierarchical Manufacturing (CMMI-1025020). We thank Professor Richard Vachet and Bo Yan for their help with the mass spectrometry analysis.Royal soc chemistryCambridge
Uncontrolled Keywords: noses
Collections: Nanomanufacturing Research Collection > Nanomanufacturing Nanoscale Science and Engineering Centers > Center for Hierarchical Manufacturing
Depositing User: Robert Stevens
Date Deposited: 27 Mar 2014
Last Modified: 27 Mar 2014 20:21

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