Photocatalytic-persulfate- oxidation for diclofenac removal from aqueous solutions: Modeling, optimization and biotoxicity test assessment

Smaali, Anfel; Berkani, Mohammed; Merouane, Fateh; Le, Van Thuan; Vasseghian, Yasser; Rahim, Noureddine; Kouachi, Meriem

doi:10.1016/j.chemosphere.2020.129158

Cited by 101 publications

(19 citation statements)

References 47 publications

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“…For removing dye contaminants in wastewater, one of the green and sustainable technologies is photocatalysis driven by solar energy, in which the photocatalytic reactions occur on the surface of an illuminated semiconductor where photo-generated electrons and holes are formed. Generally, titanium dioxide (TiO 2 ) [ 1 , 2 , 3 , 4 , 5 ] and zinc oxide (ZnO) [ 6 , 7 , 8 , 9 , 10 ] have been undoubtedly demonstrated to be the popular photocatalysts for the oxidative decomposition of many organic compounds under UV irradiation; however, unfortunately, their wide band gaps (~3.2 eV) [ 10 , 11 ] limit further applications in the visible regions (λ > 400 nm).…”

Section: Introductionmentioning

confidence: 99%

The Ultrahigh Adsorption Capacity and Excellent Photocatalytic Degradation Activity of Mesoporous CuO with Novel Architecture

Lei

Wang

et al. 2022

Nanomaterials

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In this paper, mesoporous CuO with a novel architecture was synthesized through a conventional hydrothermal approach followed by a facile sintering procedure. HR-TEM analysis found that mesoporous CuO with an interconnected pore structure has exposed high-energy crystal planes of (002) and (200). Theoretical calculations indicated that the high-energy crystal planes have superior adsorption capacity for H+ ions, which is critical for the excellent adsorption and remarkable photocatalytic activity of the anionic dye. The adsorption capacity of CuO to methyl orange (MO) at 0.4 g/L was approximately 30% under adsorption equilibrium conditions. We propose a state-changing mechanism to analyze the synergy and mutual restraint relation among the catalyst CuO, H+ ions, dye and H2O2. According to this mechanism, the degradation rate of MO can be elevated 3.5 times only by regulating the MO ratio in three states.

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Section: Introductionmentioning

confidence: 99%

The Ultrahigh Adsorption Capacity and Excellent Photocatalytic Degradation Activity of Mesoporous CuO with Novel Architecture

Lei

Wang

et al. 2022

Nanomaterials

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“…Yang et al also attempted to use NN to build models for the photocatalytic performance of TiO 2 nanoparticles, but their results may also be overfitted as the training set was very small . Such ML approaches may be extended to the design and analysis of more complex systems, such as ZnO, CuO, Fe 2 O 3 , CoBi 2 O 4 , and some high entropy oxides. ,− ML techniques are also used to study the photodegradation of doped oxides. In a study of the photocatalytic degradation of methylene blue by the N,S-codoped Fe 2 O 3 , a genetic algorithm was used to find optimal initial weights and biases for a NN model .…”

Section: Application Of Machine Learning To Electrocatalysts and Phot...mentioning

confidence: 99%

Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

et al. 2022

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Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels, reducing the impact of global warming, and providing solutions to environmental pollution. Improved processes for catalyst design and a better understanding of electro/ photocatalytic processes are essential for improving catalyst effectiveness. Recent advances in data science and artificial intelligence have great potential to accelerate electrocatalysis and photocatalysis research, particularly the rapid exploration of large materials chemistry spaces through machine learning. Here a comprehensive introduction to, and critical review of, machine learning techniques used in electrocatalysis and photocatalysis research are provided. Sources of electro/photocatalyst data and current approaches to representing these materials by mathematical features are described, the most commonly used machine learning methods summarized, and the quality and utility of electro/photocatalyst models evaluated. Illustrations of how machine learning models are applied to novel electro/ photocatalyst discovery and used to elucidate electrocatalytic or photocatalytic reaction mechanisms are provided. The review offers a guide for materials scientists on the selection of machine learning methods for electrocatalysis and photocatalysis research. The application of machine learning to catalysis science represents a paradigm shift in the way advanced, next-generation catalysts will be designed and synthesized.

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“…The next studied processes were PDS and PDS/UV systems involving sulfate radical generation. Literature data indicates that sulfate radicals find application not only in dye decolorization [25], but also in the removal of a number of other organic substances, e.g., pharmaceutical substances [26] and pesticides [27] as well as liquid media, such as landfill leachate [28].…”

Section: Advanced Oxidation Studymentioning

confidence: 99%

Degradation Efficiency and Kinetics Analysis of an Advanced Oxidation Process Utilizing Ozone, Hydrogen Peroxide and Persulfate to Degrade the Dye Rhodamine B

Zawadzki

Deska

2021

Catalysts

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In this study, the effectiveness of a rhodamine B (RhB) dye degradation process at a concentration of 20 mg/L in different advanced oxidation processes—H2O2/UV, O3/UV and PDS/UV—has been studied. The use of UV in a photo-assisted ozonation process (O3/UV) proved to be the most effective method of RhB decolorization (90% after 30 min at dye concentration of 100 mg/L). The addition of sulfate radical precursors (sodium persulfate, PDS) to the reaction environment did not give satisfactory effects (17% after 30 min), compared to the PDS/UV system (70% after 30 min). No rhodamine B decolorization was observed using hydrogen peroxide as a sole reagent, whereas an effect on the degree of RhB degradation was observed when UV rays strike the sample with H2O2 (33% after 30 min). The rhodamine B degradation process followed the pseudo-first-order kinetics model. The combined PDS/O3/UV process has shown 60% color removal after 30 min of reaction time at an initial dye concentration of 100 mg/L. A similar effectiveness was obtained by only applying ozone or UV-activated persulfate, but at a concentration 2–5 times lower (20 mg/L). The results indicated that the combined PDS/O3/UV process is a promising method for high RhB concentrations (50–100 mg/L) comparing to other alternative advanced oxidation processes.

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Photocatalytic-persulfate- oxidation for diclofenac removal from aqueous solutions: Modeling, optimization and biotoxicity test assessment

Cited by 101 publications

References 47 publications

The Ultrahigh Adsorption Capacity and Excellent Photocatalytic Degradation Activity of Mesoporous CuO with Novel Architecture

The Ultrahigh Adsorption Capacity and Excellent Photocatalytic Degradation Activity of Mesoporous CuO with Novel Architecture

Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

Degradation Efficiency and Kinetics Analysis of an Advanced Oxidation Process Utilizing Ozone, Hydrogen Peroxide and Persulfate to Degrade the Dye Rhodamine B

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