Cobalt ferrite-MXene Nanohybrid: A dual-action approach for synergistic doxorubicin removal through adsorption-photocatalysis DOI
Muhammad Rizwan,

Kanza Kayani,

Zahid Qamar

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: 372, P. 133405 - 133405

Published: May 5, 2025

Language: Английский

Analysis of heavy metal pollution sources caused by sulfide minerals in tunnel waste under photocatalytic oxidation conditions DOI
Xinzhu Yi,

Fenghui Wu,

Jinrong Zhang

et al.

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 12, 2025

Language: Английский

Citations

0

The Adsorption-Desorption-Regeneration pathway to a circular economy: The role of waste-derived adsorbents on chromium removal DOI Creative Commons
Despina A. Gkika, Athanasia K. Tolkou, Ioannis A. Katsoyiannis

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 132996 - 132996

Published: April 1, 2025

Language: Английский

Citations

0

Analysis of Response Surface and Artificial Neural Network for Cr(Ⅵ) Removal Column Experiment DOI Open Access
Zhongyu Ren,

Zhicong Li,

Haokai Tang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1211 - 1211

Published: April 18, 2025

In this study, inexpensive, environmentally friendly, and biodegradable cellulose filter paper was used to load nano zero-valent iron (nZVI), effectively improving the dispersibility of nZVI successfully preparing supported modified (FP-nZVI). Subsequently, capacity FP-nZVI remove Cr(VI) in a flow system explored. characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD). Traditional single-factor experiments often require large number repeated when analyzing interactions among multiple variables, resulting long experimental cycle high consumption materials. This research Response Surface Methodology (RSM) based on Box-Behnken Design (BBD) Artificial Neural Network (ANN) optimize predict removal process Cr(VI). RSM investigated between response variable (Cr(VI) rate) independent variables concentration, pH value, rate). A highly significant quadratic regression model constructed, which proven F value (93.92), an extremely low p-value (<0.0001), determination coefficient (R2 = 0.9918). An ANN established forecast correlation rate Both models demonstrate remarkable consistency with data; however, from perspective statistical parameters, has more advantages; R2 reaches 0.9937, is higher than that (0.9918); values indicators such as MSE, RMSE, MAE, MAPE, AAD, SEP are all smaller those RSM. The exhibits greater excellence prediction error, fluctuation, closeness actual excellent ability. experiment for treating optimized, achieving good results. Meanwhile, it also provides valuable reference similar studies.

Language: Английский

Citations

0

Detection and removal of Cr(VI) ions in aqueous solutions via acrylamide-functionalized wool fibers DOI
Yi Zhao, Haiming Cheng

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 133218 - 133218

Published: April 1, 2025

Language: Английский

Citations

0

Cobalt ferrite-MXene Nanohybrid: A dual-action approach for synergistic doxorubicin removal through adsorption-photocatalysis DOI
Muhammad Rizwan,

Kanza Kayani,

Zahid Qamar

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: 372, P. 133405 - 133405

Published: May 5, 2025

Language: Английский

Citations

0