Artificial neural network and response surface methodology modeling for diclofenac removal by quaternized mesoporous silica SBA-15 in aqueous solutions-Reference-Cited by-同舟云学术

Artificial neural network and response surface methodology modeling for diclofenac removal by quaternized mesoporous silica SBA-15 in aqueous solutions

Published:2021-12 Issue: Volume:328 Page:111497
ISSN:1387-1811
Container-title:Microporous and Mesoporous Materials
language:en
Short-container-title:Microporous and Mesoporous Materials

Author:

Kang Jin-Kyu,Kim Yoon-Gu,Lee Seung-Chan,Jang Ho-Young,Yoo Suk-Hyun^ORCID,Kim Song-Bae

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Mechanics of Materials,Condensed Matter Physics,General Materials Science,General Chemistry

Reference54 articles.

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3. Removal of pharmaceuticals and personal care products (PPCPs) from wastewater: a review;Wang;J. Environ. Manag.,2016

4. Irradiation treatment of pharmaceutical and personal care products (PPCPs) in water and wastewater: an overview;Wang;Radiat. Phys. Chem.,2016

5. Removal of emerging contaminants from water by zeolite-rich composites: a first approach aiming at diclofenac and ketoprofen;Smiljanić;Microporous Mesoporous Mater.,2020

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