2020
DOI: 10.1016/j.cej.2020.124263
|View full text |Cite
|
Sign up to set email alerts
|

Adsorption of congo red and methylene blue dyes on an ashitaba waste and a walnut shell-based activated carbon from aqueous solutions: Experiments, characterization and physical interpretations

Abstract: Activated carbons were prepared from ashitaba waste and a walnut shell to study the adsorption mechanism of congo red and methylene blue dyes in aqueous solution. These adsorbents were characterized via XRD, FTIR and SEM techniques and the dye adsorption isotherms at three temperatures were quantified. A statistical physics model was applied to interpret the adsorption mechanism of tested dyes and adsorbents. Modeling results showed that these dyes were practically separated in the solution leading to an absen… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
96
0
2

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 342 publications
(99 citation statements)
references
References 46 publications
1
96
0
2
Order By: Relevance
“…In this work, we study some indigenous, highly mesoporous activated carbons obtained from lignocellulosic raw vegetal materials. The investigation was directed towards the adsorption capacity [10] of these activated carbon materials, which were obtained from local species of nuts and wood (nutshells-NS [25,26] and apple-tree wood-AW [27]), with respect to the marker samples with medium-and low-molecular masses, such as vitamin B 12 and creatinine. The carbonaceous absorbents have been obtained in prototype conditions, by following physical-chemical activation procedures.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, we study some indigenous, highly mesoporous activated carbons obtained from lignocellulosic raw vegetal materials. The investigation was directed towards the adsorption capacity [10] of these activated carbon materials, which were obtained from local species of nuts and wood (nutshells-NS [25,26] and apple-tree wood-AW [27]), with respect to the marker samples with medium-and low-molecular masses, such as vitamin B 12 and creatinine. The carbonaceous absorbents have been obtained in prototype conditions, by following physical-chemical activation procedures.…”
Section: Introductionmentioning
confidence: 99%
“…The horizontal or vertical adsorption orientation of the removed CV molecules are attributed to with value more or lower than unity, respectively. Furthermore, the adsorption mechanism of the CV dye using MNP/CTAB‒EC adsorbent could be multi–docking ( n < 1) or multi–molecular ( n > 1) [ 2 , 10 , 11 , 32 , 33 ]. Consequently, various active sites of MNP/CTAB‒EC can adsorb one CV molecule when n < 1, while one adsorption site of this composite can adsorb numerous dye molecules if n > 1 [ 10 ].…”
Section: Resultsmentioning
confidence: 99%
“…The vertical or horizontal position of the adsorbed MO ions are related to with a value greater or lower than unity, respectively. Additionally, the adsorption mechanism of the dye MO on Mn–mica could be multi-docking in the case of n < 1 or multi–ionic in the scenario of n > 1 [ 13 , 14 , 15 , 16 , 17 ]. Therefore, numerous active sites of the Mn–mica can adsorb one MO ion if n < 1, while one adsorption site of this adsorbent can capture many dye ions when n > 1 [ 33 ].…”
Section: Resultsmentioning
confidence: 99%
“…Freundlich and Langmuir (the dominant traditional adsorption models) have no deep theoretical bases to provide a complete interpretation for the adsorption mechanism [14,15]. The Langmuir assumption that implies the formation of one layer of the removed adsorbates on the tested adsorbent surface has been reported as the main drawback of the classical adsorption models [16,17]. By contrast, the adsorption modeling via the statistical physics concepts can provide reliable results to explain macroscopically and microscopically the adsorption mechanism [15,16].…”
Section: Introductionmentioning
confidence: 99%