Ternary nanohybrid of reduced graphene oxide-nafion@silver nanoparticles for boosting the sensor performance in non-enzymatic amperometric detection of hydrogen peroxide

2017 ◽  
Vol 87 ◽  
pp. 1020-1028 ◽  
Author(s):  
Norazriena Yusoff ◽  
Perumal Rameshkumar ◽  
Muhammad Shahid Mehmood ◽  
Alagarsamy Pandikumar ◽  
Hing Wah Lee ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Silver Nanoparticles ◽  
Graphene Oxide ◽  
Reduced Graphene Oxide ◽  
Amperometric Detection ◽  
Sensor Performance ◽  
Reduced Graphene

Electrocatalytic Reduction of Hydrogen Peroxide and Its Non-Enzymatic Electrochemical Detection Using Silver Nanoparticles Anchored on Reduced Graphene Oxide

2019 ◽  
Vol 19 (11) ◽  
pp. 7054-7063 ◽  
Author(s):  
Nurul Izrini Ikhsan ◽  
Perumal Rameshkumar ◽  
Norazriena Yusoff ◽  
Nay Ming Huang
Keyword(s):  
Hydrogen Peroxide ◽  
Silver Nanoparticles ◽  
Graphene Oxide ◽  
Reduced Graphene Oxide ◽  
Electrochemical Detection ◽  
Average Particle Size ◽  
Slight Modification ◽  
Cyclic Voltammograms ◽  
Average Particle ◽  
Reduced Graphene

Silver-reduced graphene oxide (Ag-rGO) nanohybrid was synthesized by applying a slight modification to the Turkevich method using trisodium citrate as a reducing and stabilizing agent to catalyze the non-enzymatic electrochemical detection of hydrogen peroxide (H2O2). Spherical silver nanoparticles (AgNPs) with an average particle size of 2.2 nm surfaced on reduced graphene oxide (rGO) sheets. Cyclic voltammograms (CV) obtained from glassy carbon (GC) electrode coated with Ag-rGO nanohybrid (4 mM) exhibited a peak at an overpotential of -0.52 V, with a larger faradaic current for the reduction of H2O2. Using the modified electrode for the linear sweep voltammetry (LSV) detection of H2O2, the detection limit and sensitivity were determined to be 4.8 μM (S/N ═ 3) and 0.0262 μA μM−1, respectively. The sensor appeared selective and stable towards H2O2 in the presence of possible interference, and it also demonstrated good recoveries of H2O2 concentration in real water samples.

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