2018
DOI: 10.1016/j.molliq.2018.05.027
|View full text |Cite
|
Sign up to set email alerts
|

Feasibility of metal adsorption using brown algae and fungi: Effect of biosorbents structure on adsorption isotherm and kinetics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
24
0
2

Year Published

2019
2019
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 82 publications
(27 citation statements)
references
References 35 publications
1
24
0
2
Order By: Relevance
“…The interpretation of important information is possible via the parameters attained from the adsorption isotherm equations. In studying adsorption isotherm, the main output describes the way in which adsorbed molecules are distributed at the adsorbent interfaces . The best fit isotherm model is determined owing to the highest coefficient of determination (R 2 ).…”
Section: Resultsmentioning
confidence: 99%
“…The interpretation of important information is possible via the parameters attained from the adsorption isotherm equations. In studying adsorption isotherm, the main output describes the way in which adsorbed molecules are distributed at the adsorbent interfaces . The best fit isotherm model is determined owing to the highest coefficient of determination (R 2 ).…”
Section: Resultsmentioning
confidence: 99%
“…This effect is likely to be caused by metal ions hindering each other during the adsorption process in multi-component systems. The mathematical models considered to best describe biosorption phenomena, are the Langmuir and Freundlich isotherms [20,21]. The Langmuir isotherm is based on three basic theoretical assumptions:…”
Section: Biosorption Isothermmentioning
confidence: 99%
“…The regression coefficient (R 2 ) is 0.86. Therefore, the low values of R 2 and negative slope of log q e − q t vs. t indicate the inadequacy of the pseudofirst-order model to describe interaction among Al 2 O 3 / Pd(NO 3 ) 2 /zeolite molecules [50]. 5log q e − q t = logq e − K ad 2.303 t…”
Section: Pseudo-first-order Kineticmentioning
confidence: 99%