The new fate of MCLR revealed by dialysis equilibrium and theoretical calculations: Influence from DOM and Fe(II)/Mn(II) DOI

Haishuo Wang,

Jie Zhang, Zhichun Li

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(6), P. 114671 - 114671

Published: Nov. 4, 2024

Language: Английский

Influence of multivalent background ions competition adsorption on the adsorption behavior of azo dye molecules and removal mechanism: Based on machine learning, DFT and experiments DOI

Chen Zhao,

Wenjun Zhang, Yuxing Zhang

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 341, P. 126810 - 126810

Published: Feb. 19, 2024

Language: Английский

Citations

13
Tuned porous MOFs & COFs for arsenic removal- advanced water remediation approach DOI
Brij Mohan

Desalination, Journal Year: 2024, Volume and Issue: 592, P. 118075 - 118075

Published: Sept. 6, 2024

Language: Английский

Citations

13
Optimization and prediction of dye adsorption utilising cross-linked chitosan-activated charcoal: Response Surface Methodology and machine learning DOI
Arun Kumar Shukla, Javed Alam,

Santanu Mallik

et al.

Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 411, P. 125745 - 125745

Published: Aug. 11, 2024

Language: Английский

Citations

9
Biopolymer‑carbonaceous composites, progress, and adsorptive mitigation of water pollutants DOI

Ibrahim Khan,

Nisar Ali, Yan Jin

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 274, P. 133379 - 133379

Published: June 25, 2024

Language: Английский

Citations

8
Research on environmental aspects of retention/release of pollutants in soils and sorbents. What should be next? DOI Creative Commons
Avelino Núñez‐Delgado

Environmental Research, Journal Year: 2024, Volume and Issue: 251, P. 118593 - 118593

Published: March 4, 2024

Although studies dealing with adsorption/desorption (and/or retention/release) of pollutants present in environmental compartments is a classical field research, recent papers are focusing on some weak points investigations and publications within the area. In addition, an increasing number works being published related to new possibilities alternatives this kind research works, many them relation use artificial intelligence (AI). Considering existence eventual controversies, mistakes, convenience suggesting go ahead future, work, after taking into account relevant previous literature, simple workflow proposed as protocol revise successive steps that could guide direction follow when programing retention/release soils sorbent materials.

Language: Английский

Citations

7
The role of cationic bridges in enhancing sulfamethoxazole adsorption onto montmorillonite DOI Creative Commons

Qian-qian Guan,

Shu Xiao, Wensheng Wu

et al.

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(2)

Published: Jan. 20, 2025

Language: Английский

Citations

0
Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector − a review DOI Creative Commons
Banza Jean Claude, Linda L. Sibali

Journal of Environmental Science and Health Part A, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Feb. 2, 2025

There are several uses for biomass-derived materials (BDMs) in the irrigation and farming industries. To solve problems with material, process, supply chain design, BDM systems have started to use machine learning (ML), a new technique approach. This study examined articles published since 2015 understand better current status, future possibilities, capabilities of ML supporting environmentally friendly development applications. Previous applications were classified into three categories according their objectives: material process performance prediction sustainability evaluation. helps optimize BDMs systems, predict properties performance, reverse engineering, data difficulties evaluations. Ensemble models cutting-edge Neural Networks operate satisfactorily on these datasets easily generalized. neural network poor interpretability, there not been any studies assessment that consider geo-temporal dynamics; thus, building methods is currently practical. Future research should follow workflow. Investigating potential system optimization, evaluation sustainable requires further investigation.

Language: Английский

Citations

0
Enhanced fluoride removal by modified water hyacinth: response surface methodology and machine learning approach DOI
Jagadish H. Patil, Raviraj Kusanur, Poornima G. Hiremath

et al.

Biomass Conversion and Biorefinery, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Language: Английский

Citations

0
Constructing binuclear sites to modulate the charge distribution of MIL-101 for enhanced toluene adsorption performance: experimental and theoretical studies DOI

Jiawei Cao,

Yunxia Li, Xiubiao Ma

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 354, P. 129400 - 129400

Published: Aug. 30, 2024

Language: Английский

Citations

3
Effect of small-molecule organic matter on methane adsorption in anthracite DOI Creative Commons
Dameng Gao, Jiawei Liang, Hong Lin

et al.

Journal of Saudi Chemical Society, Journal Year: 2024, Volume and Issue: 28(6), P. 101930 - 101930

Published: Sept. 6, 2024

Language: Английский

Citations

1