• DocumentCode
    235833
  • Title

    Amino acids sensor based on graphene sheet/congo red-molecular imprinted polymer Organic-Thin-Film Transistor for biomedical application

  • Author

    Ab Halim, N. Farhanah ; Ahmad, Mohammad Nazir ; Noor, Anas M.

  • Author_Institution
    Cluster of Sensor Technol. & Applic. Lab., Univ. Malaysia Perlis, Arau, Malaysia
  • fYear
    2014
  • fDate
    26-28 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Molecular imprinted polymer (MIP) is a technique to produce a template-shape cavities in polymer matrix with memory of the template/target molecule for chemical sensor front-end development. In this study, it has been shown that the incorporation of graphene sheet congo-red (GSCR) has enhanced the performance of Organic Thin Film Transistor (OTFT) amino acid (serine) chemical sensor. The sensor has a lower detection limit of 70 ppm serine concentration with a good repeatability and reproducibility. The GSCR-MIP sensor has a good potential for other application such as detecting amino acid biomarkers for early detection of cancer disease in blood.
  • Keywords
    biomedical equipment; biosensors; blood; cancer; chemical sensors; dyes; filled polymers; graphene; graphene devices; polymer films; sheet materials; thin film sensors; thin film transistors; C; GSCR-MIP sensor; amino acid biomarkers; amino acids sensor; biomedical application; blood; cancer disease detection; chemical sensor front-end development; detection limit; graphene sheet-congo red-molecular imprinted polymer organic-thin-film transistor; polymer matrix; serine concentration; template-shape cavities; template-target molecule; Educational institutions; Image resolution; Nitrogen; Polymers; Graphene; Molecular imprinted Polymer; organic thin film transistor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2014 7th
  • Conference_Location
    Fukuoka
  • Type

    conf

  • DOI
    10.1109/BMEiCON.2014.7017392
  • Filename
    7017392