• 文献标题:   Poly arginine-graphene quantum dots as a biocompatible and non-toxic nanocomposite: Layer-by-layer electrochemical preparation, characterization and non-invasive malondialdehyde sensory application in exhaled breath condensate
  • 文献类型:   Article
  • 作  者:   HASANZADEH M, MOKHTARI F, SHADJOU N, EFTEKHARI A, MOKHTARZADEH A, JOUYBANGHARAMALEKI V, MAHBOOB S
  • 作者关键词:   conductive nanomaterial, graphene quantum dot, poly amino acid, biomarker, malondialdehyde, electrochemical sensor
  • 出版物名称:   MATERIALS SCIENCE ENGINEERING CMATERIALS FOR BIOLOGICAL APPLICATIONS
  • ISSN:   0928-4931 EI 1873-0191
  • 通讯作者地址:   Tabriz Univ Med Sci
  • 被引频次:   39
  • DOI:   10.1016/j.msec.2017.02.025
  • 出版年:   2017

▎ 摘  要

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.