Artificial neural network and multiple linear regression for modeling sorption of Pb2+ ions from aqueous solutions onto modified walnut shell-Reference-Cited by-同舟云学术

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Artificial neural network and multiple linear regression for modeling sorption of Pb2+ ions from aqueous solutions onto modified walnut shell

Published:2019-03-01 Issue:2 Volume:55 Page:222-233
ISSN:0149-6395
Container-title:Separation Science and Technology
language:en
Short-container-title:Separation Science and Technology

Author:

Ashrafi Motahare¹,Borzuie Hadis¹,Bagherian Ghadamali¹,Chamjangali Mansour Arab¹,Nikoofard Hossein¹

Affiliation:

1. College of Chemistry, Shahrood University of Technology, Shahrood, Iran

Publisher

Informa UK Limited

Subject

Filtration and Separation,Process Chemistry and Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/01496395.2019.1577437

Reference50 articles.

1. Underutilized Luffa cylindrica sponge: A local bio-adsorbent for the removal of Pb(II) pollutant from water system

2. Synthesis and characterization of a new magnetic bio-adsorbent using walnut shell powder and its application in ultrasonic assisted removal of lead

3. Removal of Pb(II) from water by the activated carbon modified by nitric acid under microwave heating

4. Removal of Pb 2+ from water environment using a novel magnetic chitosan/graphene oxide imprinted Pb 2+

5. Partially Hydrolyzed Bamboo (Phyllostachys heterocycla) As a Porous Bioadsorbent for the Removal of Pb(II) from Aqueous Mixtures

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