English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Intelligent modeling and experimental study on methylene blue adsorption by sodium alginate-kaolin beads

Marzban, N., Moheb, A., Filonenko, S., Hosseini, S. H., Nouri, M. J., Libra, J. A., et al. (2021). Intelligent modeling and experimental study on methylene blue adsorption by sodium alginate-kaolin beads. International Journal of Biological Macromolecules, 186, 79-91. doi:10.1016/j.ijbiomac.2021.07.006.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files
hide Files
:
Article.pdf (Publisher version), 3MB
 
File Permalink:
-
Name:
Article.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute of Colloids and Interfaces, MTKG; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Marzban, Nader, Author
Moheb, Ahmad, Author
Filonenko, Svitlana1, Author           
Hosseini, Seyyed Hossein, Author
Nouri, Mohammad Javad, Author
Libra, Judy A., Author
Farru, Gianluigi, Author
Affiliations:
1Svitlana Filonenko, Kolloidchemie, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_3158261              

Content

show
hide
Free keywords: Methylene blue adsorption, Sodium alginate-kaolin beads, Intelligent approaches
 Abstract: As tighter regulations on color in discharges to water bodies are more widely implemented worldwide, the demand for reliable inexpensive technologies for dye removal grows. In this study, the removal of the basic dye, methylene blue, by adsorption onto low-cost sodium alginate-kaolin beads was investigated to determine the effect of operating parameters (initial dye concentration, contact time, pH, adsorbent dosage, temperature, agitation speed) on dye removal efficiency. The composite beads and individual components were characterized by a number of analytical techniques. Three models were developed to describe the adsorption as a function of the operating parameters using regression analysis, and two powerful intelligent modeling techniques, genetic programming and artificial neural network (ANN). The ANN model is best in predicting dye removal efficiency with R2 = 0.97 and RMSE = 3.59. The developed model can be used as a useful tool to optimize treatment processes using the promising adsorbent, to eliminate basic dyes from aqueous solutions. Adsorption followed a pseudo-second order kinetics and was best described by the Freundlich isotherm. Encapsulating the kaolin powder in sodium alginate resulted in removal efficiency of 99.56 and a maximum adsorption capacity of 188.7 mg.g−1, a more than fourfold increase over kaolin alone.

Details

show
hide
Language(s): eng - English
 Dates: 2021-07-052021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.ijbiomac.2021.07.006
Other: Share Link angefragt 26072021AP
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: International Journal of Biological Macromolecules
  Other : Int. J. Biol. Macromol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Guildford, England : Elsevier
Pages: - Volume / Issue: 186 Sequence Number: - Start / End Page: 79 - 91 Identifier: ISSN: 0141-8130