Journal
MATERIALS SCIENCE AND ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS
Volume 75, Issue -, Pages 247-258Publisher
ELSEVIER
DOI: 10.1016/j.msec.2017.02.025
Keywords
Conductive nano-material; Graphene quantum dots; Poly amino acid; Biomarker; Malondialdehyde; Electrochemical sensor
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Funding
- Ministry of Health and Medical Education of Iran
- Drug Applied Research Center Research Center (DARC), Tabriz University of Medical Sciences
- Iran National Science Foundation (INSF)
- Pharmaceutical Analysis Research Center (PARC) Tabriz University of Medical Sciences
- Higher Education Institute of Rab-Rashid
- Nano Technology Research Center
- Faculty of Chemistry, Urmia University
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This study reports on the electropolymerization of a low toxic and biocompatible polymer with entitle poly arginine-graphene quantum dots (PARG-GQDs) as a novel strategy for surface modification of glassy carbon (GC) surface and preparation a new interface for biomedical application. The fabrication of PARG-GQDs on GCE was performed using Layer-by-layer regime. Scanning electron microscopy (SEM) was confirmed dispersion of GQDs on the surface of PARG which lead to increase of surface coverage of PARG. The redox behavior of prepared sensor was then characterized by cyclic voltammetry (CV), differential pulse voltammetry (DPV) and chronoamperometry (CHA), square wave voltammetry (SVVV), linear sweep voltammetry (LSV). The electroactivity of PARG-GQDs coating towards detection and determination of malondialdehyde (MDA) as one of the most common biomarkers of oxidative stress, was then studied. Then, application of prepared sensor for the detection of MDA in exhaled breath condensate (EBC) is described. Electrochemical based sensor shows the lower limit of quantification (LLOQ) were 0.329 nanomolar. This work is the first report on the integration of GQDs to poly amino acids. Further development can lead to monitoring of MDA or other exhaled breath biomarkers by GQDs functionalized poly amino acids in EBC using electrochemical methods. (C) 2017 Published by Elsevier B.V.
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