2020
DOI: 10.1007/s13399-020-00867-y
|View full text |Cite
|
Sign up to set email alerts
|

Importance of estimation of optimum isotherm model parameters for adsorption of methylene blue onto biomass derived activated carbons: Comparison between linear and non-linear methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
17
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 31 publications
(18 citation statements)
references
References 35 publications
1
17
0
Order By: Relevance
“…coli were best fitted to Freundlich linear and nonlinear models shown in Figure a–f, which corresponded to the higher R 2 values of the Freundlich model than the Langmuir model shown in Table . Literature review shows that other studies also found the same results as this study, that is, the results of the adsorption linear model agreed to those of the nonlinear model, and the equilibrium isotherm parameters of both linear and nonlinear models had close values. As a result, both linear and nonlinear adsorption models are necessary to plot and calculate all isotherm parameters for confirming which adsorption model is the best-fit model to the actual experiment values to avoid errors. , …”
Section: Resultssupporting
confidence: 80%
See 1 more Smart Citation
“…coli were best fitted to Freundlich linear and nonlinear models shown in Figure a–f, which corresponded to the higher R 2 values of the Freundlich model than the Langmuir model shown in Table . Literature review shows that other studies also found the same results as this study, that is, the results of the adsorption linear model agreed to those of the nonlinear model, and the equilibrium isotherm parameters of both linear and nonlinear models had close values. As a result, both linear and nonlinear adsorption models are necessary to plot and calculate all isotherm parameters for confirming which adsorption model is the best-fit model to the actual experiment values to avoid errors. , …”
Section: Resultssupporting
confidence: 80%
“…74−78 As a result, both linear and nonlinear adsorption models are necessary to plot and calculate all isotherm parameters for confirming which adsorption model is the best-fit model to the actual experiment values to avoid errors. 79,80 Finally, since the R 2 value is generally used to decide which adsorption isotherm model well explains an adsorption pattern of adsorbent, a higher R 2 close to 1 is suitably chosen. Therefore, the adsorption isotherm of CFB on S. aureus and E. coli corresponded to the Freundlich model in both linear model (R 2 = 0.92 and 0.93) and nonlinear model (R 2 = 0.97 and 0.98), which indicated that the adsorption pattern could be explained by a physiochemical adsorption process with multilayer or heterogeneous adsorption.…”
Section: Resultsmentioning
confidence: 99%
“…The Marquardt’s percentage standard deviation (MPSD) (eq ) was applied to evaluate the applicability of isotherm models, and it is defined in the following equation where q e,exp (mg/g) and q e,cal (mg/g) are the experimental and calculated adsorption capacities at equilibrium, respectively.…”
Section: Experimental Sectionmentioning
confidence: 99%
“…Since the plotting of non-linear kinetic models helped to confirm the result of linear plotting to protect the processing data, 81 many previous studies have reported both linear and non-linear kinetic models to confirm their results. 76,77,82,83 Similarly, this study reported and compared the results of linear and non-linear of both the kinetic models, and their results agreed closely with the kinetic parameter values.…”
Section: Resultsmentioning
confidence: 90%