Electrochemical activation of alum sludge for the adsorption of lead (Pb(II)) and arsenic (As): Mechanistic insights and machine learning (ML) analysis DOI
Hye-Bin Kim, Muhammad Fahad Ehsan, Akram N. Alshawabkeh

и другие.

Bioresource Technology, Год журнала: 2025, Номер unknown, С. 132563 - 132563

Опубликована: Апрель 1, 2025

Язык: Английский

Predicting biomass conversion and COD removal in wastewater treatment by phototrophic bacteria with interpretable machine learning DOI
Pengfei Hou, Shiqi Liu,

Duofei Hu

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124282 - 124282

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

2

Triggering nanoconfinement effect in advanced oxidation processes (AOPs) for boosted degradation of organic contaminants: A review DOI
Junsuo Li,

Yongshuo Wang,

Ziqian Wang

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер 503, С. 158428 - 158428

Опубликована: Дек. 9, 2024

Язык: Английский

Процитировано

9

Recent advancements on elimination of emerging contaminants by homogeneous metal-catalyzed sulfur(Ⅳ) oxidation DOI

Shijie Kuang,

Hongbin Wang,

Youlun Su

и другие.

Chemical Engineering Science, Год журнала: 2025, Номер unknown, С. 121320 - 121320

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Application of Machine Learning Algorithms for the Prediction of Metformin Removal with Hydroxyl Radical-Based Photochemical Oxidation and Optimization of Process Parameters DOI

Narmin Garazade,

Emine Can‐Güven, Fatih Güven

и другие.

Journal of Hazardous Materials, Год журнала: 2025, Номер 489, С. 137552 - 137552

Опубликована: Фев. 9, 2025

Язык: Английский

Процитировано

0

The Evolving Landscape of Advanced Oxidation Processes in Wastewater Treatment: Challenges and Recent Innovations DOI Open Access

Satyam Satyam,

Sanjukta Patra

Processes, Год журнала: 2025, Номер 13(4), С. 987 - 987

Опубликована: Март 26, 2025

The increasing presence of persistent pollutants in industrial wastewater underscores the shortcomings conventional treatment methods, prompting adoption advanced oxidation processes (AOPs) for sustainable water remediation. This review examines development AOPs, focusing on their ability to produce hydroxyl radicals and reactive oxygen species (ROS) mineralize complex pollutants. Homogeneous systems such as Fenton’s reagent show high degradation efficiency. However, challenges like pH sensitivity, catalyst recovery issues, sludge generation, energy-intensive operations limit scalability. Heterogeneous catalysts, TiO2-based photocatalysts Fe3O4 composites, offer improved adaptability, visible-light activation, recyclability. Emerging innovations ultraviolet light emitting diode (UV-LED)-driven systems, plasma-assisted oxidation, artificial intelligence (AI)-enhanced hybrid reactors demonstrate progress energy efficiency process optimization. Nevertheless, key remain, including secondary byproduct formation, mass transfer constraints, economic feasibility large-scale applications. Integrating AOPs with membrane filtration or biological treatments enhances synergy, while advances materials science computational modeling refine design reaction mechanisms. Addressing barriers use, durability, practical adaptability requires multidisciplinary collaboration. highlights pivotal solutions security amid growing environmental pollution, urging targeted research bridge gaps between laboratory success real-world implementation.

Язык: Английский

Процитировано

0

Enhanced ultrasonic degradation of organic contaminants: Synergistic promotion effects of iron salts and mechanical agitation DOI
Li Zhu, Lijuan Zhang,

Xizi Gao

и другие.

Journal of Water Process Engineering, Год журнала: 2025, Номер 72, С. 107567 - 107567

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Analysis of Ecosystem Service Bundles and Influencing Factors Based on Sofm and Xgboost Models: A Case Study of the Western Dabie Mountains, a Typical Forest Ecosystem in China DOI
Yong Cao,

B. A. C. DON,

Hao Wang

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Electrochemical activation of alum sludge for the adsorption of lead (Pb(II)) and arsenic (As): Mechanistic insights and machine learning (ML) analysis DOI
Hye-Bin Kim, Muhammad Fahad Ehsan, Akram N. Alshawabkeh

и другие.

Bioresource Technology, Год журнала: 2025, Номер unknown, С. 132563 - 132563

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0