Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27973
Title: Evaluation of activation parameters of activated carbon from coffee and cocoa seed husk rests: carbon yields and Ni(II) adsorption capacity study
Authors: HERNANDEZ RODRIGUEZ, Monica 
YPERMAN, Jan 
CARLEER, Robert 
MAGGEN, Jens 
VANDERHEYDEN, Sara 
Falcon Hernandez, Jose
Otero Calvis, Alexis
Gryglewicz, Grazyna
Issue Date: 2018
Publisher: DESALINATION PUBL
Source: DESALINATION AND WATER TREATMENT, 104, p. 175-188
Abstract: Activated carbon produced by a traditional two-step activation procedure from coffee husks (HAC) and cocoa seed husks (CAC) were used as adsorbents for Ni(II) removal in aqueous solution. Temperature, activation time and added water amount used during the activation process are studied through a model equation designed by a two-level full factorial design. Analysis of variance was used in evaluating AC in multiple response optimization to maximize the yield and adsorption capacity as system responses. The adsorption behaviour of Ni(II) was also evaluated through isotherm models of Langmuir, Freundlich and Langmuir-Freundlich. For both CAC and HAC, the Langmuir-Freundlich model is slightly superior to the Langmuir and Freundlich models. Mostly CAC adsorbs higher amount of Ni(II) than HAC.
Notes: [Hernandez Rodriguez, Monica; Otero Calvis, Alexis] Mineral & Met Inst ISMM, Moa, Holguin, Cuba. [Hernandez Rodriguez, Monica; Falcon Hernandez, Jose] Univ Oriente, Fac Chem Engn, Santiago De Cuba, Cuba. [Yperman, Jan; Carleer, Robert; Maggen, Jens; Vanderheyden, Sara] Hasselt Univ, Res Grp Appl & Analyt Chem, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium. [Gryglewicz, Grazyna] Wroclaw Univ Technol, Fac Chem, Dept Polymer & Carbonaceous Mat, Gdanska 7-9, PL-50344 Wroclaw, Poland.
Keywords: Adsorption; Ni(II); Multiple response optimization; Activated carbon; Coffee husk; Cocoa seed husk;Engineering, Chemical; Water Resources
Document URI: http://hdl.handle.net/1942/27973
ISSN: 1944-3994
e-ISSN: 1944-3986
DOI: 10.5004/dwt.2018.21907
ISI #: 000445113800018
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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