Graphene oxide (GO) has attracted tremendous attention in membrane-based separation field as it can filter ions and molecules. Recently, GO-based materials have emerged as excellent modifiers for vanadium redox flow battery (VRFB) application. Its high mechanical and chemical stability, nearly frictionless surface, high flexibility, and low cost make GO-based materials as proper materials for the membranes in VRFB. In VRFB, a membrane acts as the key component to determine the performance. Therefore, employing low vanadium ion permeability with excellent stability membrane in vanadium electrolytes is important to ensure high battery performance. Herein, recent progress of GO-modified membranes for VRFB is briefly reviewed. This review begins with current membranes used for VRFB, followed by the challenges faced by the membranes. In addition, the transport mechanism of vanadium ion and the stability properties of GO-modified membranes are also discussed to enlighten the role of GO in the modified membranes.
The cobalt hexacyanoferrate-decorated titania nanotube (CoHCF@TNT) was prepared by dispersing 100 mg of titania nanotube (TNT) to a solution of an equimolar concentration of CoCl 2 · 6H 2 O and K 3 [Fe(CN) 6 ] containing 0.05 M KCl solution (35 mL). The TNT was synthesized by hydrothermal method using Degussa P-25 TiO 2 in 2 M NaOH as reported in the literature. The CoHCF@TNT was isolated and characterized by DRS-UV, FE-SEM, FT-IR, and XRD analysis. The electrochemical behavior of the CoHCF@TNT was carried out in 0.1 M phosphate buffer. The CoHCF@TNT modified system showed an excellent electron transfer mediator for the oxidation of hydrazine at +0.5 V versus Ag wire. The proposed method can be utilized for the amperometry detection of hydrazine from environmental samples. A calibration plot was constructed by plotting the concentration of hydrazine against the peak current. The current response was linear in the ranges of the hydrazine concentration from 5 × 10 −4 M to 2.5 × 10 −3 M with a slope of 72.8 μAmM −1 and the linear correlation coefficient of 0.9972. The detection limit was found to be 1 × 10 −3 M.
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