A Study of Treatment of Reactive Red 45 Dye by Advanced Oxidation Processes and Toxicity Evaluation Using Bioassays

Kanjal, Muhammad Imran; Muneer, Majid; Jamal, Muhammad Asghar; Bokhari, Tanveer Hussain; Wahid, Abdul; Ullah, Shafqat; Amrane, Abdeltif; Hadadi, Amina; Tahraoui, Hichem; Mouni, Lotfi

doi:10.3390/su15097256

Cited by 8 publications

(1 citation statement)

References 36 publications

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“…•− ) generated during the reaction process to effectively oxidize contaminants in water without selectivity, ultimately decomposing them into CO 2 and H 2 O [6]. Compared to traditional homogeneous Fenton processes (Fe 2+ /H 2 O 2 ), heterogeneous Fenton using iron-based solid catalysts offers advantages such as an expanded pH range of applicability and the prevention of generating copious iron-containing sludge [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

High-Efficient Elimination of Spiramycin by Fe3O4/ZSM-5/Sch via Heterogeneous Photo-Fenton Oxidation at Neutral pH

Liu

et al. 2023

Sustainability

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Spiramycin (SPM), a widely employed antibiotic in both clinical therapy and the livestock industry, poses significant challenges in terms of safe and efficacious management. A heterogeneous photo-Fenton system, devised using Schwertmannite (Sch), can effectively degrade contaminants. However, it is accompanied by a relatively low conversion efficiency of ≡Fe3+/≡Fe2+ and a significant iron loss. In this study, a catalyst featuring Fe3O4 and ZSM-5 molecular sieve-modified Sch (Fe3O4/ZSM-5/Sch) was devised to enhance the catalytic activity and stability. The findings revealed that Fe3O4/ZSM-5/Sch exhibited exceptional catalytic activity, with the reaction first-order kinetic exceeding that of pure Sch. The active species including ·OH, h+, e−, ·O2− and SO4·− were identified in the UV/Fe3O4/ZSM-5/Sch-H2O2 system. The enhanced catalytic activity of Fe3O4/ZSM-5/Sch could be ascribed to the effective conversion of ≡Fe3+/≡Fe2+. The photogenerated electrons within Fe3O4 were transported to Sch via ZSM-5, which effectually reduced ≡Fe3+/≡Fe2. Moreover, Fe3O4/ZSM-5/Sch demonstrated outstanding stability; even after six cycles, the degradation efficiency of SPM remained above 86.50%, and the leaching quantity of Fe remained below 0.24 mg/L. This research not only develops an excellent catalyst for the safe treatment of SPM but also proffers innovative perspectives for the future design of efficient iron-based catalysts.

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Section: Introductionmentioning

confidence: 99%

High-Efficient Elimination of Spiramycin by Fe3O4/ZSM-5/Sch via Heterogeneous Photo-Fenton Oxidation at Neutral pH

Liu

et al. 2023

Sustainability

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Elucidating the black-box nature of data-driven models in the adsorption of reactive red M-2BE on activated carbon and multi-walled carbon nanotubes through SHapley Additive exPlanations

Gasparetto,

Lima,

Machado

et al. 2023

Adsorption

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Monte Carlo Simulation, Artificial Intelligence and Machine Learning-based Modelling and Optimization of Three-dimensional Electrochemical Treatment of Xenobiotic Dye Wastewater

Ganthavee,

Fernando,

Trzcinski

2024

Environ. Process.

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The present study investigates the synergistic performance of the three-dimensional electrochemical process to decolourise methyl orange (MO) dye pollutant from xenobiotic textile wastewater. The textile dye was treated using electrochemical technique with strong oxidizing potential, and additional adsorption technology was employed to effectively remove dye pollutants from wastewater. Approximately 98% of MO removal efficiency was achieved using 15 mA/cm2 of current density, 3.62 kWh/kg of energy consumption and 79.53% of current efficiency. The 50 mg/L MO pollutant was rapidly mineralized with a half-life of 4.66 min at a current density of 15 mA/cm2. Additionally, graphite intercalation compound (GIC) was electrically polarized in the three-dimensional electrochemical reactor to enhance the direct electrooxidation and.OH generation, thereby improving synergistic treatment efficiency. Decolourisation of MO-polluted wastewater was optimized by artificial intelligence (AI) and machine learning (ML) techniques such as Artificial Neural Networks (ANN), Support Vector Machine (SVM), and random forest (RF) algorithms. Statistical metrics indicated the superiority of the model followed this order: ANN > RF > SVM > Multiple regression. The optimization results of the process parameters by artificial neural network (ANN) and random forest (RF) approaches showed that a current density of 15 mA/cm2, electrolysis time of 30 min and initial MO concentration of 50 mg/L were the best operating parameters to maintain current and energy efficiencies of the electrochemical reactor. Finally, Monte Carlo simulations and sensitivity analysis showed that ANN yielded the best prediction efficiency with the lowest uncertainty and variability level, whereas the predictive outcome of random forest was slightly better. Highlights • In-depth analysis of various artificial intelligence optimization techniques. • Prediction efficiency of artificial intelligence and machine learning algorithms. • 98% dye removal and 100% regeneration of graphite intercalation compound. • Advanced statistical analysis of targeted responses and data fitting techniques. • Analysis of uncertainties and variability using Monte Carlo simulation.

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A Study of Treatment of Reactive Red 45 Dye by Advanced Oxidation Processes and Toxicity Evaluation Using Bioassays

Cited by 8 publications

References 36 publications

High-Efficient Elimination of Spiramycin by Fe3O4/ZSM-5/Sch via Heterogeneous Photo-Fenton Oxidation at Neutral pH

High-Efficient Elimination of Spiramycin by Fe3O4/ZSM-5/Sch via Heterogeneous Photo-Fenton Oxidation at Neutral pH

Elucidating the black-box nature of data-driven models in the adsorption of reactive red M-2BE on activated carbon and multi-walled carbon nanotubes through SHapley Additive exPlanations

Monte Carlo Simulation, Artificial Intelligence and Machine Learning-based Modelling and Optimization of Three-dimensional Electrochemical Treatment of Xenobiotic Dye Wastewater

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