2014
DOI: 10.1016/j.chemolab.2014.09.006
|View full text |Cite
|
Sign up to set email alerts
|

Application of fractional factorial and Doehlert designs for optimizing the preparation of activated carbons from Argan shells

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
22
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 45 publications
(26 citation statements)
references
References 38 publications
0
22
0
Order By: Relevance
“…us, the scientific community has become increasingly concerned with the waste treatment by developing innovative chemicals and materials. e utilization of the remaining residues has a positive impact on reducing solid wastes, on the production of low-cost materials with high added value, and on the protection of the environment [1]. Consequently, the organic solid wastes are valorized toward different value-added products: animal feeding [2,3], composting-fertilizer [4,5], energy [6,7], biofuels [8,9], activated carbon [10,11], etc.…”
Section: Introductionmentioning
confidence: 99%
“…us, the scientific community has become increasingly concerned with the waste treatment by developing innovative chemicals and materials. e utilization of the remaining residues has a positive impact on reducing solid wastes, on the production of low-cost materials with high added value, and on the protection of the environment [1]. Consequently, the organic solid wastes are valorized toward different value-added products: animal feeding [2,3], composting-fertilizer [4,5], energy [6,7], biofuels [8,9], activated carbon [10,11], etc.…”
Section: Introductionmentioning
confidence: 99%
“…A two-level fractional factorial 2 5−1 design [33,34] was adopted to evaluate the effect of these factors on the extraction process and to estimate the interactions between them. Each factor was associated with a coded variable Xi (centered and normalized) defined as follows [34].…”
Section: Factors' Effects Measurementmentioning
confidence: 99%
“…For this reason, experimental design has been used to control the different factors that influence in the leaching process in order to optimize experimental conditions. e influential factors are optimized using response surface methodology and multicriteria optimization with a Doehlert design and desirability function [6][7][8].…”
Section: Introductionmentioning
confidence: 99%