2010
DOI: 10.1016/j.cej.2010.07.059
|View full text |Cite
|
Sign up to set email alerts
|

Piecewise linear regression: A statistical method for the analysis of experimental adsorption data by the intraparticle-diffusion models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
156
0
2

Year Published

2011
2011
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 295 publications
(160 citation statements)
references
References 14 publications
2
156
0
2
Order By: Relevance
“…Weber-Morris model. Weber-Morris model, which had been derived from the Fick's second law, assumes that the effect of the external mass transfer resistance is negligible, the direction of the diffusion is radial and the intraparticle diffusivity is constant [45,46]. This model was used to calculate the intraparticle diffusion rate constant.…”
Section: Sorption Kinetic Modelsmentioning
confidence: 99%
“…Weber-Morris model. Weber-Morris model, which had been derived from the Fick's second law, assumes that the effect of the external mass transfer resistance is negligible, the direction of the diffusion is radial and the intraparticle diffusivity is constant [45,46]. This model was used to calculate the intraparticle diffusion rate constant.…”
Section: Sorption Kinetic Modelsmentioning
confidence: 99%
“…Weber-Morris model, which had been derived from the Fick's second law assuming the effect of the external mass transfer resistance as negligible, the direction of diffusion as radial and no change in the concentration in the angular direction and the intraparticle diffusivity as constant (Malash and El-Khaiary, 2010;Weber and Morris, 1963), was used to calculate intraparticle diffusion rate constant. The model equation is given below:…”
Section: Intraparticle Diffusion Rate Constant (K D )mentioning
confidence: 99%
“…The number of linear segments and which points belong to each segment can be chosen visually; however, this is not a reliable practice. Recently, Malash and El-Khaiary (2010) showed that the results obtained by applying Piecewise Linear Regression (PLR) are more accurate than the ones obtained by using the visual determination. In this work, the number of linear segments (and the boundaries between then) of the mono-component kinetic data were estimated by using the PLR technique.…”
Section: Mono-component Systemmentioning
confidence: 99%