Electrocatalytic degradation of sulfamethazine on IrO2-RuO2 composite electrodes: influencing factors, kinetics and modeling

Yu, Naichuan; Lu, Xinyu; Song, Fei; Yao, Yingwu; Han, Enshan

doi:10.1016/j.jece.2021.105301

Cited by 24 publications

(6 citation statements)

References 55 publications

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“…The COD removal rate (η) was measured by the titration method. The oxidant used was dichromate in acidic solution, and the equation is shown below η = true COD 0 − COD t COD 0 × 100 % where COD t is the COD at given time t and COD 0 is the COD of the initial concentration.…”

Section: Methodsmentioning

confidence: 99%

Surfactant-Assisted rGO-PbO₂ Electrode to Boost Acrylamide Degradation in Industrial Sewage

Yan

Shen

et al. 2023

Ind. Eng. Chem. Res.

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With good chemical stability and more active sites, the Ti/PbO2 electrode is a commonly used electrode material in the electrochemical oxidation reaction. However, drawbacks of large surface cracks and corrosion during redox processes still exist in conventional Ti/PbO2 electrodes. Herein, a PbO2 electrode modified with reduced graphene oxide and surfactant OP-10 (OP-10&rGO-PbO2) was prepared by electrodeposition with Ti/SnO2-Sb2O3 as a substrate. The addition of rGO was helpful in forming a dense surface of PbO2 and avoiding the side reaction of oxygen evolution during wastewater degradation. It has higher oxygen evolution potential and a longer service lifetime. In addition, the acrylamide (AA) degradation conditions were optimized. It was proved that the OP-10&rGO-PbO2 electrode has a good industrial application prospect in dye wastewater. The chemical oxygen demand removal rate of dye wastewater can reach 89% within 120 min. Furthermore, the degradation mechanism of AA was also discussed by gas chromatography–mass spectrometry technique, and the possible degradation path was also proposed.

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Section: Methodsmentioning

confidence: 99%

Surfactant-Assisted rGO-PbO₂ Electrode to Boost Acrylamide Degradation in Industrial Sewage

Yan

Shen

et al. 2023

Ind. Eng. Chem. Res.

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“…ML techniques are also utilized to optimize experimental parameters on electrocatalytic degradation. Yu et al built a NN model to find the optimal experimental conditions for the electrocatalytic degradation of sulfamethazine on an IrO 2 –RuO 2 electrode . The model illustrated that reaction time played the most important role in the sulfamethazine removal, while pH value strongly affected the efficiency of reducing chemical oxygen demand.…”

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

confidence: 99%

“…Yu et al built a NN model to find the optimal experimental conditions for the electrocatalytic degradation of sulfamethazine on an IrO 2 − RuO 2 electrode. 319 The model illustrated that reaction time played the most important role in the sulfamethazine removal, while pH value strongly affected the efficiency of reducing chemical oxygen demand. However, it should be noted that their NN model was trained on only 91 data points.…”

Section: Electrocatalytic Oxidesmentioning

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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“…Ir deposition could improve the uniformity and stability of RuO 2 /Ti electrodes. [105] Mixed metal oxide electrodes exhibit dense structures with higher electrocatalytic activity, [106] such as Ti/IrO 2 -RuO 2 [97,[107][108][109] , Ti/SnO 2 -RuO 2 , [110,111] Ti/RuO 2 -IrO 2 -SnO 2 , [112] Ti/RuO 2 -IrO 2 -TiO 2 [113] etc., which have been widely used in the treatment of refractory pollutants with high degradation efficiency. The Ti/SnO 2 -Sb 2 O 5 -IrO 2 -RuO 2 mixed oxide anode prepared by Liu et al [114] was used to electrochemically destruct the targeted pharmaceuticals, and the electrode showed higher OEP, lower chlorine evolution potential, larger active area, and higher stability.…”

Section: Ti/ruo 2 Electrodementioning

confidence: 99%

Review on Structural Adjustment Strategies of Titanium‐Based Metal Oxide Dimensionally Stable Anodes in Electrochemical Advanced Oxidation Technology

Qiu,

Wang,

Fan

et al. 2024

Adv Eng Mater

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Emerging organic pollutants and refractory pollutants in water bodies have caused severe harm to the ecological environment and human health. Electrochemical advanced oxidation processes (EAOPs) are currently one of the most effective oxidation methods to deal with refractory organic pollutants. Electrode materials serve as the most critical component in influencing the EAOP performance. Dimensionally stable anodes (DSAs) have the advantages of dimensional stability, structural diversity, chemical stability, low oxygen evolution potential and long service life, etc. Herein, several types of Ti‐based metal oxide DSAs (Ti/MOx DSAs) commonly used in EAOPs in the past 5 years, including Ti/IrO2, Ti/RuO2, Ti/PbO2, Ti/Sb–SnO2, and Ti/TiO2, are introduced. The modification methods including metal doping, composition adjustment, nanostructure construction, introduction of intermediate layers, compositing with carbon materials, and formation of 3D structures as well as the applications of these modified Ti‐based DSAs in EAOP for the rapid degradation of various organic pollutants are summarized and their advantages and current shortcomings of electrodes are pointed out. Finally, the Ti‐based DSA's current limitations and future development prospects are concluded.

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Electrocatalytic degradation of sulfamethazine on IrO2-RuO2 composite electrodes: influencing factors, kinetics and modeling

Cited by 24 publications

References 55 publications

Surfactant-Assisted rGO-PbO₂ Electrode to Boost Acrylamide Degradation in Industrial Sewage

Surfactant-Assisted rGO-PbO₂ Electrode to Boost Acrylamide Degradation in Industrial Sewage

Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

Review on Structural Adjustment Strategies of Titanium‐Based Metal Oxide Dimensionally Stable Anodes in Electrochemical Advanced Oxidation Technology

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Electrocatalytic degradation of sulfamethazine on IrO2-RuO2 composite electrodes: influencing factors, kinetics and modeling

Cited by 24 publications

References 55 publications

Surfactant-Assisted rGO-PbO2 Electrode to Boost Acrylamide Degradation in Industrial Sewage

Surfactant-Assisted rGO-PbO2 Electrode to Boost Acrylamide Degradation in Industrial Sewage

Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

Review on Structural Adjustment Strategies of Titanium‐Based Metal Oxide Dimensionally Stable Anodes in Electrochemical Advanced Oxidation Technology

Contact Info

Product

Resources

About

Surfactant-Assisted rGO-PbO₂ Electrode to Boost Acrylamide Degradation in Industrial Sewage

Surfactant-Assisted rGO-PbO₂ Electrode to Boost Acrylamide Degradation in Industrial Sewage