CuO/TiO 2 /ZnO NPs Anchored Hydrogen Exfoliated Graphene: To Comprehend the Role of Graphene in Catalytic Reduction of p-Nitrophenol.
Meerambika BeheraFatimah Othman AlqahtaniSankha ChakraborttyJayato NayakShirsendu BanerjeeRamesh KumarByong-Hun JeonSuraj K TripathyPublished in: ACS omega (2023)
The present study deals with sonochemically in situ synthesis of a novel functional catalyst using hydrogen exfoliated graphene (HEG) supported titanium dioxide (TiO 2 ) and copper sulfate (CuSO 4 ) doped with zinc oxide (ZnO) (abbreviated as Ti/Cu/Zn-HEG). The synthesis of the Ti/Cu/Zn-HEG nanocomposite (NCs) catalyst was confirmed through its characterizations by XRD, SEM-EDX, TEM, XPS, FTIR, and BET methods. It was assessed for catalytic conversion of a model aromatic compound para -nitrophenol (p-NP) in an aqueous solution. The p-NP is a nitroaromatic compound that has a toxic and mutagenic effect. Its removal from the water system is necessary to protect the environment and living being. The newly synthesized Ti/Cu/Zn-HEG NCs were applied for their higher stability and catalytic activity as a potential candidate for reducing p-NP in practice. The operating parameters, such as p-NP concentration, catalyst dosage, and operating time were optimized for 150 ppm, 400 ppm, and 10 min through response surface methodology (RSM) in Design-Expert software to obtain the maximum reduction p-NP up to 98.4% at its normal pH of 7.1 against the controls (using HEG, Ti/Cu-HEG, and Zn-HEG). Analysis of variance of the response suggested the regression equation to be significant for the process with a major impact on catalyst concentration and operating time. The model prediction data (from RSM) and experimental data were corroborated well as reflected through model's low relative error (RE < 0.10), high regression coefficient ( R 2 > 0.97), and Willmott d -index ( d will-index > 0.95) values.
Keyphrases
- visible light
- aqueous solution
- room temperature
- metal organic framework
- reduced graphene oxide
- quantum dots
- heavy metals
- oxide nanoparticles
- ionic liquid
- highly efficient
- primary care
- electronic health record
- healthcare
- gold nanoparticles
- magnetic resonance
- risk assessment
- climate change
- magnetic resonance imaging
- diffusion weighted imaging
- high resolution
- artificial intelligence
- human health
- liquid chromatography