2012
DOI: 10.1002/jctb.3831
|View full text |Cite
|
Sign up to set email alerts
|

Enhanced adsorption of Acid Red 88 by an excellent adsorbent prepared from alunite

Abstract: BACKGROUND: Calcination significantly increased the adsorption performance of alunite for Acid Red 88. RESULTS: The adsorption properties of calcined alunite for Acid Red 88 were investigated. pH, adsorbent dosage, contact time and ionic strength were found to influence the adsorption. Temperature did not significantly affect the process. Kinetic data obey a pseudo‐second‐order model, while intraparticle diffusion is not the only rate‐limiting step. The Langmuir isotherm well described the equilibrium data. Th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
6
0

Year Published

2013
2013
2018
2018

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 31 publications
(7 citation statements)
references
References 44 publications
1
6
0
Order By: Relevance
“…The slightly increased adsorption rate may be attributed to the high number of unsaturated adsorption sites of composites at low concentration BSA solution. To further understand the sorption kinetics, the kinetic models, namely the pseudo‐first‐ order equation, pseudo‐second‐order equation and intraparticle diffusion, were selected to describe the experimental data. By fitting the kinetic models, the pseudo‐second‐order equation fitted the experimental data well as shown by the high correlation coefficients (R 2 > 0.98); the corresponding modeling results are shown in Fig.…”
Section: Resultssupporting
confidence: 77%
“…The slightly increased adsorption rate may be attributed to the high number of unsaturated adsorption sites of composites at low concentration BSA solution. To further understand the sorption kinetics, the kinetic models, namely the pseudo‐first‐ order equation, pseudo‐second‐order equation and intraparticle diffusion, were selected to describe the experimental data. By fitting the kinetic models, the pseudo‐second‐order equation fitted the experimental data well as shown by the high correlation coefficients (R 2 > 0.98); the corresponding modeling results are shown in Fig.…”
Section: Resultssupporting
confidence: 77%
“…Fresh rice husk was collected from a farm in Yiyang, Hunan province, China. The samples were washed with deionized (DI) water to eliminate the dirt, and dried in an oven at 80 °C, and then crushed with a comminuter and passed through a 0.145 mm sieve , . The screened biomass was pyrolyzed at 300, 500 and 700 °C at the rate of 5 °C min ‐1 in a porcelain boat placed in a tube furnace and kept constant for 2 h to carbonize completely under nitrogen gas flow (60 mL min ‐1 ).…”
Section: Methodsmentioning
confidence: 99%
“…The samples were washed with deionized (DI) water to eliminate the dirt, and dried in an oven at 80 ∘ C, 27 and then crushed with a comminuter and passed through a 0.145 mm sieve. 28,29 The screened biomass was pyrolyzed at 300, 500 and 700 ∘ C at the rate of 5 ∘ C min -1 in a porcelain boat placed in a tube furnace and kept constant for 2 h to carbonize completely under nitrogen gas flow (60 mL min -1 ). Biochar was washed with DI water three times 30 to remove dirt and impurities before being oven dried for 12 h. The samples obtained were collected and stored in a plastic sealed bag in desiccators, and were denoted as RH300, RH500 and RH700, respectively.…”
Section: Biochar Preparationmentioning
confidence: 99%
“…Therefore, there have been attempts to utilize low cost, naturally occurring adsorbents, to remove contaminants from wastewater. 7,8 These kinds of adsorbents, which are biological-based materials such as Cephalosporium aphidicola, 5 Pinus sylvestris, 9 Saccharomyces cerevisiae, 10 Sargassum natans, 11 Botrytis cinerea, 12 Neurospora crassa, 13 Aspergillus niger, 14 R. arrhizus, 15 Bacillus sp., 16 alginate, 17 chitosan, 18 and carrageenan 19 ; natural clay minerals such as kaolinite, [20][21][22][23] illite, 24 bentonite, 25,26 montmorillonite, 20,23,27 zeolite, 28,29 and sepiolite 30,31 have been used to remove heavy metal ions from aqueous solutions by adsorption.…”
Section: Introductionmentioning
confidence: 99%