Use of multivariate analysis for determining the most influential physicochemical properties of activated carbon in cadmium removal
Multidiscipline Modeling in Materials and Structures
ISSN: 1573-6105
Article publication date: 18 March 2022
Issue publication date: 19 April 2022
Abstract
Purpose
The goal of this paper is to model the activated carbon adsorption capacity of cadmium using a polynomial regression model. The properties that influence the removal of heavy metals by activated carbon must be taken into consideration in order to synthesize materials specific to the characteristics of the pollutant.
Design/methodology/approach
Multivariable analysis applications allow a comprehensive description of the relationship between activated carbon surface properties and heavy metal adsorption.
Findings
The authors use a second-grade polynomial regression model to determine the influence of porosity and surface acidity in cadmium adsorption by activated carbon.
Originality/value
The authors propose a statistic analysis to correlate the carbon properties with its cadmium adsorption capacity. Model coefficient analysis will give a better comprehension of the influence of activated carbon porosity and surface acidity of cadmium removal.
Keywords
Acknowledgements
The authors acknowledge the financial support provided by Pontificia Universidad Católica del Perú (PUCP) under Proyecto Interdisciplinario DGI 2010- 0099. The authors thank MBA Mark J. Anderson for his suggestions and review of the article.
Declaration of interest: The authors declared that there is no conflict of interest.
Citation
Obregon Valencia, D. and Sun Kou, M.R. (2022), "Use of multivariate analysis for determining the most influential physicochemical properties of activated carbon in cadmium removal", Multidiscipline Modeling in Materials and Structures, Vol. 18 No. 2, pp. 238-248. https://doi.org/10.1108/MMMS-08-2021-0147
Publisher
:Emerald Publishing Limited
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