Cited by Kinetic and mechanistic insights into the evolution of sulfur-centered radicals in transition-metal-activated bisulfite processes

Activation of persulfate with hydrodynamic cavitation in the removal of atrazine: Regulating the concentration of OH and SO4− and the degradation mechanism DOI

Xue Chen, Chunyan Hu, Feng Hong

и другие.

Journal of Water Process Engineering, Год журнала: 2024, Номер 65, С. 105828 - 105828

Опубликована: Июль 24, 2024

Язык: Английский

Процитировано

Kinetic and thermodynamic analysis of engineered alginate–chitosan hydrogel based scaffolds for drug delivery applications DOI

Kuldeep Roy,

KV Ramana Murthy,

K. N. Agarwal

и другие.

Journal of Molecular Liquids, Год журнала: 2024, Номер unknown, С. 126262 - 126262

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

Degradation of Bisphenol A Using Self-Excited Oscillating Jets in Synergy with Fenton and Periodate Oxidation: Experimental and Artificial Neural Network Modeling Study DOI

Jian Wang,

Bingsheng Li,

Shiwei Xie

и другие.

Water, Год журнала: 2024, Номер 16(16), С. 2326 - 2326

Опубликована: Авг. 18, 2024

Bisphenol A (BPA) is an environmental endocrine-disrupting compound that resistant to conventional biological treatment, making it crucial develop oxidation process. This study introduces a novel hydrodynamic cavitation (HC) coupled with Fenton + periodate (PI) system for the efficient degradation of BPA. By systematically examining key parameters such as inlet pressure, Fe (II), H2O2, and PI concentration, was found HC performed optimally at pressure 0.5 MPa. conversion 98.14% achieved within 60 min when molar ratio BPA, approximately 1:1:5:1. Further analysis revealed gray correlation between H2O2 concentrations on efficiency 0.833 0.843, respectively, indicating both them had significant effects The free radical quenching assay confirmed hydroxyl (•OH) main active substance. Additionally, toxicity intermediates evaluated using Toxicity Estimation Software Tool (TEST). An artificial neural network (ANN)-based model constructed predict BPA-degradation process, facilitating precise reagent dosing providing robust support intelligent application water-treatment technologies.

Язык: Английский

Процитировано

Kinetic and mechanistic insights into the evolution of sulfur-centered radicals in transition-metal-activated bisulfite processes DOI

Huixin Shao,

Jie Chen, Jinli Qiao

и другие.

Journal of Water Process Engineering, Год журнала: 2024, Номер 69, С. 106662 - 106662

Опубликована: Ноя. 26, 2024

Язык: Английский

Процитировано