Glucose-mediated one-pot hydrothermal synthesis of hollow magnesium oxide-zinc oxide (MgO-ZnO) microspheres with enhanced natural sunlight photocatalytic activity

Vishwanathan, Shalini; Das, Susmita

doi:10.1007/s11356-022-20283-1

Cited by 14 publications

(6 citation statements)

References 52 publications

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“…code 01-079-0207) given by ( 100), (002), ( 101), ( 102), ( 110), ( 103), ( 200), (112), and (201). These XRD peaks complied with those obtained for zinc oxide hollow spheres [24]. The XRD pattern (Figure 3a) also showed characteristic peaks of the cubic structure of pure MgO (JCPDS Ref code 01-074-1225).…”

Section: Xrd Characterizationsupporting

confidence: 80%

“…The effectiveness of the ZnO/MgO nanomaterial was compared with other ZnO-and MgO-based photocatalyst materials for MB dye removal (Table 4). Other photocatalysts have exhibited greater degradation performances at lower MB levels [24,31,46,47] and/or longer degradation times [48]. Most studies integrated ZnO and MgO into a third material, resulting in ternary photocatalysts [9,48] for improved performance.…”

Section: Photocatalytic Degradation Rates and Suggested Degradation M...mentioning

confidence: 99%

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Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Ngulube,

Abdelhaleem,

Fujii

et al. 2024

Sustainability

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Recently, removing dyes from wastewater by photocatalysis has been extensively studied by several researchers. However, there exists a research gap in optimizing the photocatalytic process parameters using artificial intelligence to maintain the associated techno-economic feasibility. Hence, this investigation attempts to optimize the photocatalytic degradation of methylene blue (MB) dye using an artificial neural network (ANN) model to minimize the capital and running costs, which is beneficial for industrial applications. A ZnO/MgO photocatalyst was synthesized, showing an energy band gap of 2.96 eV, crystallinity index of 71.92%, pore volume of 0.529 cm3/g, surface area of 30.536 m2/g, and multiple surface functional groups. An ANN model, with a 4-8-1 topology, trainlm training function, and feed-forward back-propagation algorithm, succeeded in predicting the MB removal efficiency (R2 = 0.946 and mean squared error = 11.2). The ANN-based optimized condition depicted that over 99% of MB could be removed under C0 = 16.42 mg/L, pH = 9.95, and catalyst dosage = 905 mg/L within 174 min. This optimum condition corresponded to a treatment cost of USD 8.52/m3 cheaper than the price estimated from the unoptimized photocatalytic system by ≈7%. The study outputs revealed positive correlations with the sustainable development goals accompanied by pollution reduction, human health protection, and aquatic species conservation.

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Section: Xrd Characterizationsupporting

confidence: 80%

Section: Photocatalytic Degradation Rates and Suggested Degradation M...mentioning

confidence: 99%

Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Ngulube,

Abdelhaleem,

Fujii

et al. 2024

Sustainability

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“…Moreover, the dye molecules also interfered with the UV light and the formation of radicals; thus, the activity of the photocatalysts decreased [76]. The degradation rate obtained here is comparatively higher than those presented in the literature [77,78]. Figure 9 represents the dye degradation rate for different dye concentrations.…”

Section: Dye Concentrationmentioning

confidence: 70%

Evaluation of Photocatalytic, Antioxidant, and Antibacterial Efficacy of Almond Oil Capped Zinc Oxide Nanoparticles

Ramzan¹,

Bashir²,

Saeed³

et al. 2023

Materials

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In this study, ZnO nanoparticles (NPs) were synthesized in the presence of almond oil at various molar ratios of zinc acetate and sodium hydroxide, including 0.5:1, 0.75:1, 1:1, 1.25:1, and 1.5:1, to obtain pH values of 11, 10, 9, 8, and 7, respectively. The XRD results revealed that ZnO NPs exhibit a hexagonal structure, with high crystallinity. SEM results showed that dense and large sized ZnO NPs were formed at pH 11, and relatively small (~30–40 nm) NPs were obtained at pH 9. The size distribution can be explained in terms of the presence of OH− ions at different pH levels. However, the larger size of the NPs at pH 7 compared to those at pH 8–11 were due to the coalescence of NPs suitable for antioxidant/antibacterial activities. ZnO NPs demonstrated a high degradation efficiency (~93%) in 90 min, with a high rate constant for Methyl Orange (MO), which is better than the previously reported rate. The larger sized almond oil capped ZnO NPs also showed excellent radical scavenging activity (94%) and are proven to be good carriers to resist Escherichia coli (E. coli) bacteria.

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“…In the last decade or so, advanced oxidation processes to degrade organic pollutant have emerged as an alternative technique [2,3]. Among these oxidation processes, photocatalytic degradation of organic pollutants such as phenols [4,5], pesticides [6], pharmaceuticals [7], and dyes [8,9] by using natural solar irradiation is highly promising as a sustainable technology to provide a solution for environmental issues [10]. Natural sunlight is a renewable, clean, and free energy source, comprising 4-5 % of the UV-A light range.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Solar Photocatalytic Degradation of Rhodamine B Dye by TiO₂ Nanoparticles Using an Artificial Neural Network

Reddy

Das

2023

Chem Eng & Technol

Self Cite

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An artificial neural network (ANN) model was developed for the photocatalytic degradation of rhodamine B by TiO2 nanoparticles synthesized by the electrochemical method, under direct sunlight irradiation. The four inputs are: irradiation time, initial dye concentration, pH of the initial solution, and catalyst loading. The ANN model with 20 hidden neurons and with R2 of 0.999 shows minimum values of the performance metrics of 0.169, 2.020, 1.531, and 0.215 for the mean square error, the root mean square error, the mean absolute error, and the mean absolute percentage error, respectively. The optimized ANN configuration of 4‐20‐1 shows a good fit with the experimental data. The result shows that the sunlight irradiation time has the main impact on rhodamine B degradation at ∼55 %.

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Glucose-mediated one-pot hydrothermal synthesis of hollow magnesium oxide-zinc oxide (MgO-ZnO) microspheres with enhanced natural sunlight photocatalytic activity

Cited by 14 publications

References 52 publications

Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Evaluation of Photocatalytic, Antioxidant, and Antibacterial Efficacy of Almond Oil Capped Zinc Oxide Nanoparticles

Modeling of Solar Photocatalytic Degradation of Rhodamine B Dye by TiO₂ Nanoparticles Using an Artificial Neural Network

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Glucose-mediated one-pot hydrothermal synthesis of hollow magnesium oxide-zinc oxide (MgO-ZnO) microspheres with enhanced natural sunlight photocatalytic activity

Cited by 14 publications

References 52 publications

Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Evaluation of Photocatalytic, Antioxidant, and Antibacterial Efficacy of Almond Oil Capped Zinc Oxide Nanoparticles

Modeling of Solar Photocatalytic Degradation of Rhodamine B Dye by TiO2 Nanoparticles Using an Artificial Neural Network

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Modeling of Solar Photocatalytic Degradation of Rhodamine B Dye by TiO₂ Nanoparticles Using an Artificial Neural Network