Machine learning-based modeling and analysis of PFOS removal from contaminated water by nanofiltration process-Reference-Cited by-同舟云学术

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Machine learning-based modeling and analysis of PFOS removal from contaminated water by nanofiltration process

Published:2022-05 Issue: Volume:289 Page:120775
ISSN:1383-5866
Container-title:Separation and Purification Technology
language:en
Short-container-title:Separation and Purification Technology

Author:

Hosseinzadeh Ahmad,Zhou John L.,Zyaie Javad,AlZainati Nahawand,Ibrar Ibrar,Altaee Ali

Funder

University of Technology Sydney

Publisher

Elsevier BV

Subject

Filtration and Separation,Analytical Chemistry

Reference49 articles.

1. Polyacrylonitrile fiber functionalized with fluorous hyperbranched polyethylenimine for selective removal of perfluorooctane sulfonate (PFOS) in firefighting wastewaters;Chen;Colloids Surf. A Physicochem. Eng. Asp.,2021

2. UV/FeⅡNTA as a novel photoreductive system for the degradation of perfluorooctane sulfonate (PFOS) via a photoinduced intramolecular electron transfer mechanism;Sun;Chem. Eng. J.,2022

3. PFAS and their substitutes in groundwater: Occurrence, transformation and remediation;Xu;J. Hazard. Mater.,2021

4. Study on the effects of cations and anions on the removal of perfluorooctane sulphonate by nanofiltration membrane;Zhao;Sep. Purif. Technol.,2018

5. Progress in osmotic membrane bioreactors research: contaminant removal, microbial community and bioenergy production in wastewater;Hosseinzadeh;Bioresour. Technol.,2021

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5. Treatment of highly iron-contaminated brackish groundwater by MF, UF, and NF membranes for potable water resource production: influence of operating parameters, comparative study, membrane fouling, and machine learning modeling;Water Supply;2024-06-17

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