Harnessing neural network model with optimization for enhanced ciprofloxacin antibiotic adsorption from contaminated water: A transparent and objective framework-Reference-Cited by-同舟云学术

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Harnessing neural network model with optimization for enhanced ciprofloxacin antibiotic adsorption from contaminated water: A transparent and objective framework

Published:2024-08 Issue: Volume:65 Page:105724
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Ahmed Yunus,Rahman Md. Mahfujur,Alam Md Shafiul,Miah Mohammad Islam,Choudhury Md. Shamimul Haque,Alharbi Obaid A.,Akhtar Parul,Rahman Syed Masiur

Publisher

Elsevier BV

Reference56 articles.

1. Roles of reactive oxygen species in antibiotic resistant bacteria inactivation and micropollutant degradation in Fenton and photo-Fenton processes;Ahmed;J. Hazard. Mater.,2022

2. Efficient inactivation of antibiotic resistant bacteria and antibiotic resistance genes by photo-Fenton process under visible LED light and neutral pH;Ahmed;Water Res.,2020

3. Simultaneous removal of antibiotic resistant bacteria, antibiotic resistance genes, and micropollutants by a modified photo-Fenton process;Ahmed;Water Res.,2021

4. Simultaneous removal of micropollutants, antibiotic resistant bacteria, and antibiotic resistance genes using graphitic carbon nitride under simulated solar irradiation;Zhong;Chem. Eng. J.,2022

5. Control strategies to combat dissemination of antibiotic resistance in urban water systems;Guo,2020

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