Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83504
Title: Ultrasensitive Profiling of Metabolites Using Tyramine-Functionalized Graphene Quantum Dots
Authors: Li, Nan
Than, Aung
Wang, Xuewan
Xu, Shaohai
Sun, Lei
Duan, Hongwei
Xu, Chenjie
Chen, Peng
Keywords: Graphene quantum dots
Metabolite detection
Fluorometric biosensing
Issue Date: 2016
Source: Li, N., Than, A., Wang, X., Xu, S., Sun, L., Duan, H., Xu, C.,& Chen, P. (2016). Ultrasensitive Profiling of Metabolites Using Tyramine-Functionalized Graphene Quantum Dots. ACS Nano, 10(3), 3622-3629.
Series/Report no.: ACS Nano
Abstract: Graphene quantum dots (GQDs) are emerging fluorescence reporters attractive for optical sensing, owing to their high photostability, highly tunable photoluminescence, molecular size, atomically thin structure, biocompatibility, and ease of functionalization. Herein, we present a fluorometric sensing platform based on tyramine-functionalized GQDs, which is able to detect a spectrum of metabolites with high sensitivity and specificity. Furthermore, multiparametric blood analysis (glucose, cholesterol, l-lactate, and xanthine) is demonstrated. This convenient metabolite profiling technique could be instrumental for diagnosis, study, and management of metabolic disorders and associated diseases, such as diabetes, obesity, lactic acidosis, gout, and hypertension.
URI: https://hdl.handle.net/10356/83504
http://hdl.handle.net/10220/42637
DOI: 10.1021/acsnano.5b08103
Rights: © 2016 American Chemical Society. This is the author created version of a work that has been peer reviewed and accepted for publication by ACS Nano, American Chemical Society. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1021/acsnano.5b08103].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCBE Journal Articles

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