Machine Learning Modeling for Prediction of Methyl Orange Adsorption Onto Bentonite-Biochar Composite DOI
Rachid Et-tanteny,

mohamed El jattioui,

Bouchta El Amrani

и другие.

Опубликована: Янв. 1, 2024

The textile industry is known for its considerable environmental challenge, due to water pollution caused by dye discharge. This study addresses this problem exploring the use of biochar-modified bentonite adsorption methyl orange from a solution. examines influence various factors on process, such as pH, amount modified bentonite, concentration solution and contact duration. results reveal that reaches equilibrium after 240 minutes, with maximum capacity 119.33 mg/g. To model predict several artificial intelligence models were applied. Among these, Random Forest Regressor stood out best performer, coefficient determination (R2) 0.9893, mean absolute error (MAE) 2.3048 root square (RMSE) 2.7215.

Язык: Английский

Removal of phosphate from wastewater using zirconium/iron embedded chitosan/alginate hydrogel beads: An experimental and computational perspective DOI
Aminat Mohammed Ahmed, Menbere Leul Mekonnen, Bikila Alemu Jote

и другие.

International Journal of Biological Macromolecules, Год журнала: 2024, Номер 281, С. 136431 - 136431

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

9

Kinetic and isotherm studies of nickel and cadmium ions adsorption onto Clay-Chitosan composite DOI Creative Commons
Rachid Et-tanteny, Ibrahim Allaoui, Imad Manssouri

и другие.

Results in Chemistry, Год журнала: 2025, Номер unknown, С. 102056 - 102056

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Recent progresses in bentonite/lignin or polysaccharide composites for sustainable water treatment DOI

Yahao Dong,

Azadeh Abbasi,

Sepideh Mohammadnejad

и другие.

International Journal of Biological Macromolecules, Год журнала: 2024, Номер 278, С. 134747 - 134747

Опубликована: Авг. 14, 2024

Язык: Английский

Процитировано

5

Bentonite-verbena biochar composite for anionic dye removal: Investigation, simulation and modeling DOI
Rachid Et-tanteny, Ibrahim Allaoui, Bouchta El Amrani

и другие.

Bioresource Technology Reports, Год журнала: 2024, Номер unknown, С. 101981 - 101981

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1

Machine Learning Modeling for Prediction of Methyl Orange Adsorption Onto Bentonite-Biochar Composite DOI
Rachid Et-tanteny,

mohamed El jattioui,

Bouchta El Amrani

и другие.

Опубликована: Янв. 1, 2024

The textile industry is known for its considerable environmental challenge, due to water pollution caused by dye discharge. This study addresses this problem exploring the use of biochar-modified bentonite adsorption methyl orange from a solution. examines influence various factors on process, such as pH, amount modified bentonite, concentration solution and contact duration. results reveal that reaches equilibrium after 240 minutes, with maximum capacity 119.33 mg/g. To model predict several artificial intelligence models were applied. Among these, Random Forest Regressor stood out best performer, coefficient determination (R2) 0.9893, mean absolute error (MAE) 2.3048 root square (RMSE) 2.7215.

Язык: Английский

Процитировано

0