Fe(III) Adsorption onto Microplastics in Aquatic Environments: Interaction Mechanism, Influencing Factors, and Adsorption Capacity Prediction DOI Open Access

Xing Gong,

Suxin Luo, Yuanyuan Yang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1316 - 1316

Published: April 28, 2025

The adsorption of Fe(III) onto the surface microplastics (MPs) enhances their toxicity and mobility in aquatic environments, posing a serious threat to human health ecosystem balance. This study investigated mechanism influencing factors on three types MPs with varying particle sizes aging degrees using batch experiments freshwater saltwater. Machine learning (ML) techniques were employed predict capacity conduct attribution analysis. results showed that both saltwater followed Pseudo-First-Order kinetics Langmuir isotherms, indicating monolayer homogeneous physical reaction driven by oxygen-containing functional groups, hydrogen bonds aromatic rings MP surface. for was higher than saltwater, positively correlated degree pH value, but negatively size. Among tested ML models, Random Forest Gaussian Process Regression models Bayesian Optimization performed well predicting capacity, value identified as key based SHAP conducted comprehensive investigation behavior between water, providing valuable insights risk assessment prevention pollution environments.

Language: Английский

Adsorption mechanism of arsenic(V) on aged polyethylene microplastics: Isotherms, kinetics and effect of environmental factors DOI Creative Commons
Haitao Yu, Guoxin Li, Heng Zhang

et al.

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100711 - 100711

Published: April 1, 2025

Language: Английский

Citations

0

Effect of Aging on Raman Spectroscopy Analyses for Flexible Polyvinyl Chloride DOI
Ali I. Al‐Mosawi, Shaymaa Abbas Abdulsada

Vibrational Spectroscopy, Journal Year: 2025, Volume and Issue: unknown, P. 103805 - 103805

Published: April 1, 2025

Language: Английский

Citations

0

Fe(III) Adsorption onto Microplastics in Aquatic Environments: Interaction Mechanism, Influencing Factors, and Adsorption Capacity Prediction DOI Open Access

Xing Gong,

Suxin Luo, Yuanyuan Yang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1316 - 1316

Published: April 28, 2025

The adsorption of Fe(III) onto the surface microplastics (MPs) enhances their toxicity and mobility in aquatic environments, posing a serious threat to human health ecosystem balance. This study investigated mechanism influencing factors on three types MPs with varying particle sizes aging degrees using batch experiments freshwater saltwater. Machine learning (ML) techniques were employed predict capacity conduct attribution analysis. results showed that both saltwater followed Pseudo-First-Order kinetics Langmuir isotherms, indicating monolayer homogeneous physical reaction driven by oxygen-containing functional groups, hydrogen bonds aromatic rings MP surface. for was higher than saltwater, positively correlated degree pH value, but negatively size. Among tested ML models, Random Forest Gaussian Process Regression models Bayesian Optimization performed well predicting capacity, value identified as key based SHAP conducted comprehensive investigation behavior between water, providing valuable insights risk assessment prevention pollution environments.

Language: Английский

Citations

0