Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater-Reference-Cited by-同舟云学术

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Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater

Published:2024-10 Issue: Volume:278 Page:134701
ISSN:0141-8130
Container-title:International Journal of Biological Macromolecules
language:en
Short-container-title:International Journal of Biological Macromolecules

Author:

Khan Mohammad Sherjeel Javed,Sidek Lariyah Mohd,Kumar Pavitra,Alkhadher Sadiq Abdullah Abdo,Basri Hidayah,Zawawi Mohd Hafiz,El-Shafie Ahmed,Ahmed Ali Najah

Funder

Tenaga Nasional Berhad

Publisher

Elsevier BV

Reference72 articles.

1. Lanthanide metal-organic frameworks with six-coordinated Ln(III) ions and free functional organic sites for adsorptions and extensive catalytic activities;Zhu;Sci. Rep.,2016

2. An efficient wastewater treatment through reduction of organic dyes using Ag nanoparticles supported on cellulose gum beads;Khan;Int. J. Biol. Macromol.,2024

3. A facile and green synthesis of CuO/NiO nanoparticles and their removal activity of toxic nitro compounds in aqueous medium;Ramu;Chemosphere,2021

4. Agarose biopolymer coating on polyurethane sponge as host for catalytic silver metal nanoparticles;Khan;Polym. Test.,2019

5. High-energy irradiation treatment of aqueous solutions of azo dyes: steady-state gamma radiolysis experiments;Şolpan;Radiat. Phys. Chem.,2003

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