Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/46385
Title: | Enzyme-free detection of hydrogen peroxide with a hybrid transducing system based on sodium carboxymethyl cellulose, poly(3,4-ethylenedioxythiophene) and prussian blue nanoparticles | Authors: | Uzuncar, Sinan Ozdogan, Nizamettin Ak, Metin |
Keywords: | Cellulose Poly(3,4-ethylenedioxythiophene) Prussian blue Nickel hexacyanoferrate Hybrid Star-Shaped Pyrrole Electrochemical Determination Conducting Polymers Composite Pedot Polymerization Electrodes Reduction H2o2 Performance |
Publisher: | Elsevier | Abstract: | Herein, we report a two-layered hybrid catalytic interface composed of carboxymethyl cellulose (CMC), poly (3,4-ethylene dioxythiophene) (PEDOT), Prussian blue (PB) nanoparticles and Nickel-Hexacyanoferrate (Ni-HCF) layer for the enzyme-free detection of hydrogen peroxide (H2O2). Whereas the first layer, CMC:PEDOT:PB, is responsible for generating amperometric signals toward H2O2, Ni-HCF on CMC:PEDOT:PB layer is playing an active role as an operational stability-enhancer. In the study, where the systematic optimization of the sensor electrode is presented using cyclic voltammetry (CV), amperometry and electrochemical impedance spectroscopy (EIS) technique, the physical and chemical properties of the hybrid composite systems constructed is also supported by scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR) techniques. The amperometric signal generation of the H2O2 sensor was linear between 1 and 100 mu M (R-2 = 0.999) with a sensitivity of 416.11 mu A mM(-1) cm(-2), providing a limit of detection (LOD) of 0.33 mu M. The sensing system, which was not affected by the various interfering molecules, creates a successful sensor platform for H2O2 measurements in tap water with a high recovery value between 94.0% and 110.5% and relatively small RSD in the range of 0.4-5.2%. (C) 2021 Elsevier B.V. All rights reserved. | URI: | https://doi.org/10.1016/j.aca.2021.338664 https://hdl.handle.net/11499/46385 |
ISSN: | 0003-2670 1873-4324 |
Appears in Collections: | Fen-Edebiyat Fakültesi Koleksiyonu PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
16
checked on Nov 16, 2024
WEB OF SCIENCETM
Citations
14
checked on Nov 21, 2024
Page view(s)
48
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.