Electrochemical fabrication and amperometric sensor application of graphene sheets


OZTURK A., ALANYALIOĞLU M.

SUPERLATTICES AND MICROSTRUCTURES, cilt.95, ss.56-64, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 95
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.spmi.2016.04.039
  • Dergi Adı: SUPERLATTICES AND MICROSTRUCTURES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.56-64
  • Anahtar Kelimeler: Graphene, Electrochemistry, Sodium dodecyl sulfate, Amperometric sensor, Nitrite, ELECTROLYTIC EXFOLIATION, OXYGEN REDUCTION, SCALE SYNTHESIS, GRAPHITE, NITRITE, FILMS, NANOSHEETS, NANOCOMPOSITES, THICKNESS, EFFICIENT
  • Atatürk Üniversitesi Adresli: Evet

Özet

Graphene sheets have been fabricated by applying two-step electrochemical processes in two-electrode cell system containing 0.1 M sodium dodecyl sulfate (SDS). First step is intercalation of SDS into graphite anode electrode and this process has been applied at different intercalation potential values of 1, 3, 5, and 7 V. Second step includes exfoliation of SDS-intercalated graphite electrode in the same medium by acting as cathode. Stable graphene dispersions are obtained after these two electrochemical steps. Characterization of graphene sheets have been carried out using scanning electron microscopy, electron dispersive spectroscopy, fourier transform infrared spectroscopy, UV Vis. absorption spectroscopy, X-ray diffraction, and cyclic voltammetry techniques. Graphene sheets have been modified onto glassy carbon electrode (GCE) by drop-casting of graphene dispersion. Graphene/GCE having a good electrocatalytic activity has been used for amperometric determination of nitrite in both standard laboratory and real samples. The oxidation current density was linearly proportional to the nitrite concentration in a range between 1 and 250 mu M. The sensitivity of the sensor was calculated as 0.843 mu A mu M-1 cm(-2) with a detection limit of 0.24 mu M at a signal-to-noise ratio of 3.0. (c) 2016 Elsevier Ltd. All rights reserved.