2022
DOI: 10.1016/j.cep.2022.109173
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Studying the influence of different parameters on the electrochemical oxidation of tannery dyes using a Ti/IrO2-SnO2-Sb2O5 anode

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Cited by 29 publications
(6 citation statements)
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“…Water is essential for all living organisms on earth and it is non-renewable source [7][8][9]. Therefore, preserving the water and its purity is of great importance for all living organisms and especially for human beings [9].…”
Section: Introductionmentioning
confidence: 99%
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“…Water is essential for all living organisms on earth and it is non-renewable source [7][8][9]. Therefore, preserving the water and its purity is of great importance for all living organisms and especially for human beings [9].…”
Section: Introductionmentioning
confidence: 99%
“…Water is essential for all living organisms on earth and it is non-renewable source [7][8][9]. Therefore, preserving the water and its purity is of great importance for all living organisms and especially for human beings [9]. There are many aspects of services, businesses and households that use potable water and impact it negatively by transforming it into waste-water [10,11].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In the treatment process, a direct current is applied to an electrolyte solution to oxidize and reduce the target object at the anode and cathode poles, respectively. At the same, hydroxyl free radicals (•OH) and other strong oxidants are generated in the reaction process, which have a high redox potential [19], so that EAOPs convert organic compounds or POPs into harmless substances, such as simple inorganic molecules like carboxylic acids, CO 2 and H 2 O [20]. A concentration of 30 mg/L bisphenol A can be completely removed in 5.0 h with a SnO 2 /MWCNT anode by applying a 20 mA/cm 2 current density, 0.1 M sodium sulfate electrolyte, at pH 4.0 [21].…”
Section: Introductionmentioning
confidence: 99%
“…ANN models prove valuable in situations where establishing a mathematical model between input and output data proves challenging. Moreover, artificial neural networks necessitate fewer initial assumptions [ 18 , 21 , 36 ] and can deliver superior accuracy [ 37 , 38 ] compared to traditional modeling techniques. The capability of artificial neural networks to address non-linear challenges has garnered increased attention in water quality research [ 39 ].…”
Section: Introductionmentioning
confidence: 99%