Optimization of the process parameters for the adsorption of ternary dyes by Ni doped FeO(OH)-NWs–AC using response surface methodology and an artificial neural network-Reference-Cited by-同舟云学术

Optimization of the process parameters for the adsorption of ternary dyes by Ni doped FeO(OH)-NWs–AC using response surface methodology and an artificial neural network

Published:2016 Issue:24 Volume:6 Page:19768-19779
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Azad Farshid Nasiri¹²³⁴,Ghaedi Mehrorang¹²³⁴,Asfaram Arash¹²³⁴,Jamshidi Arsalan⁵⁶⁷⁴⁸,Hassani Ghasem⁸⁹¹⁰¹¹⁴,Goudarzi Alireza¹²¹³¹⁴⁴,Azqhandi Mohammad Hossein Ahmadi¹⁵¹⁶¹⁷¹⁸⁴,Ghaedi Abdolmohammad¹¹⁹²⁰²¹⁴

Affiliation:

1. Chemistry Department

2. Yasuj University

3. Yasuj 75918-74831

4. Iran

5. Social Determinates of Health Research Center

6. Yasuj University of Medical Sciences

7. Yasuj

8. Department of Environmental Health Engineering

9. Faculty of Health

10. Ahvaz Jundishapur University of Medical Sciences

11. Ahvaz

12. Department of Polymer Engineering

13. Golestan University

14. Gorgan

15. Applied Chemistry Department

16. Faculty of Gas and Petroleum (Gachsaran)

17. Yasouj University

18. Gachsaran

19. Gachsaran Branch

20. Islamic Azad University

21. Gachsaran 75818-63876

Abstract

The present study deals with the simultaneous removal of chrysoidine G (CG), rhodamine B (RB) and disulfine blue (DB) by Ni doped ferric oxyhydroxide FeO(OH) nanowires on activated carbon (Ni doped FeO(OH)-NWs–AC).

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/RA/C5RA26036A

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