Optimization the selectivity property of graphene oxide modified dimensionally stable anode (DSA) produced by the sol–gel method
Source abstract
Abstract
The novel mixed metal oxide (MMO) coatings of TiO2–RuO2 modified with graphene oxide (GO)/reduced graphene oxide (rGO) nanosheets were synthesized and investigated on the Ti substrate by the sol–gel approach. Central composite design (CCD) and response surface methodology (RSM) were used to simulate and optimize the graphene compounds additive in the coating. The slope difference in the transpassive region at NaCl and H2SO4 solutions was considered as the significant factor for the selectivity of anode between the competitive evolution reactions of oxygen and chlorine. In order to characterize the coating, XRD, FTIR, FESEM, TEM, AFM tests, CV, polarization, and EIS curves were carried out. The obtained optimal condition included the GO concentration of 0.56 mg ml−1, the rGO concentration of about 0.56 mg ml−1, and the layers number of 4. It was predicted that the optimal selectivity of the graphene modified electrode is approximately 83.189, which was measured to be about 84.944 at the reproducible level. Indeed, the model for simulating the graphene modification was suitable and reliable.
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Research context
OpenAlex topics: Electrocatalysts for Energy Conversion · Advancements in Battery Materials · Advanced battery technologies research
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References (86)
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