Removal of Dimethoate Pesticide Using Double Layer Hydroxide@Graphene Oxide: Optimization Via Response Surface Methodology and Neural Networks DOI
Shokooh Sadat Khaloo, Ali Ashraf Jafari, S. K. Jalali

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

Removing pesticides from water is essential to protect ecosystems and preserve sources pollutants. The use of nanocomposites for adsorption removal has gained attention in the last decade. In this work, Mg-Al double-layer hydroxide coated on graphene oxide (Mg-Al-LDH@GO) was synthesized characterized using FESEM, EDS, XRD techniques. dimethoate aqueous solution Mg-Al-LDH@GO as an adsorbent optimized modeled. response surface method (RSM) employed design experiments based central composite (CCD). Four parameters affecting efficiency dimethoate, including pH, contact time, dose, pollutant concentration, were RSM-CCD. results indicate that process can be accurately predicted by quadratic model. Numerical optimization showed when concentration 83.7 mg/L, optimal conditions are pH 2.6, time 15.3 h, dose 27.5 mg/100 mL. Under these conditions, reached 86.08%. A feed-forward neural network (ANN) model with Levenberg-Marquardt backpropagation training algorithm adapted process. performance ANN adequate prediction R² values 0.9989, 0.9803, 0.9984, 0.9936 training, validation, testing, overall, respectively. obtained work demonstrate a potential water.

Language: Английский

Advances in heterogeneous electro-Fenton processes for water treatment: A comprehensive review DOI
Xian Li,

Jia Xiao,

Changyong Zhang

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131470 - 131470

Published: Jan. 1, 2025

Language: Английский

Citations

6
Electrocatalytic oxidation for organic wastewater: Recent progress in anode material, reactor, and process combination DOI

Wenyu Hu,

Duowen Yang,

Yuexin Chang

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 154120 - 154120

Published: July 21, 2024

Language: Английский

Citations

15
Iron-loaded Chinese herbal medicine residue biochar for heterogeneous catalytic ozonation of malathion wastewater DOI
Yihan Chen, Di Chai, Xiangyu Zhang

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131880 - 131880

Published: Feb. 1, 2025

Language: Английский

Citations

1
Photocatalytic degradation of organic pollutants in wastewater using magnetic functionalized reduced graphene oxide nanocomposites. A review DOI Creative Commons
Cabangani Donga, Rudzani Ratshiedana, Alex T. Kuvarega

et al.

Talanta, Journal Year: 2025, Volume and Issue: 295, P. 128318 - 128318

Published: May 14, 2025

Language: Английский

Citations

0
Recent Advances in the Electron Transfer Mechanism of Fe-Based Electro-Fenton Catalysts for Emerging Organic Contaminant Degradation DOI Open Access
Lu Huang, Yufeng Zhao, Yu Bai

et al.

Catalysts, Journal Year: 2025, Volume and Issue: 15(6), P. 549 - 549

Published: June 1, 2025

Heterogeneous electro-Fenton (HEF) technology utilizing iron-based cathode catalysts has emerged as an efficient advanced oxidation process for wastewater treatment, demonstrating outstanding performance in degrading emerging organic contaminants (EOCs) while maintaining environmental sustainability. The of this is governed by two critical processes: the accumulation H2O2 and electron transfer mechanisms governing Fe(III)/Fe(II) redox cycle. This review comprehensively summarizes recent advances understanding HEF systems their applications EOC degradation. Five representative catalyst categories are critically analyzed, including zero-valent iron/alloys, iron oxides, iron-carbon/nitrogen-doped carbon composites, sulfides/phosphides, MOFs, with a particular focus on structural design, catalytic performance, mechanisms. A placed strategies enhancing cycling efficiency interplay between radical (•OH) non-radical (1O2) pathways, synergistic effects complex systems. Major challenges, stability, pH adaptability, selective matrices, further discussed. Potential solutions to these limitations also provides fundamental insights designing high-efficiency outlines future research directions advance practical applications.

Language: Английский

Citations

0
Removal of Dimethoate Pesticide Using Double Layer Hydroxide@Graphene Oxide: Optimization Via Response Surface Methodology and Neural Networks DOI
Shokooh Sadat Khaloo, Ali Ashraf Jafari, S. K. Jalali

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

Removing pesticides from water is essential to protect ecosystems and preserve sources pollutants. The use of nanocomposites for adsorption removal has gained attention in the last decade. In this work, Mg-Al double-layer hydroxide coated on graphene oxide (Mg-Al-LDH@GO) was synthesized characterized using FESEM, EDS, XRD techniques. dimethoate aqueous solution Mg-Al-LDH@GO as an adsorbent optimized modeled. response surface method (RSM) employed design experiments based central composite (CCD). Four parameters affecting efficiency dimethoate, including pH, contact time, dose, pollutant concentration, were RSM-CCD. results indicate that process can be accurately predicted by quadratic model. Numerical optimization showed when concentration 83.7 mg/L, optimal conditions are pH 2.6, time 15.3 h, dose 27.5 mg/100 mL. Under these conditions, reached 86.08%. A feed-forward neural network (ANN) model with Levenberg-Marquardt backpropagation training algorithm adapted process. performance ANN adequate prediction R² values 0.9989, 0.9803, 0.9984, 0.9936 training, validation, testing, overall, respectively. obtained work demonstrate a potential water.

Language: Английский

Citations

0