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Licensed Unlicensed Requires Authentication Published by De Gruyter March 18, 2020

Statistical Modelling and Optimisation of the Biosorption of Cd(II) and Pb(II) onto Dead Biomass of Pseudomonas Aeruginosa

Joshua O. Ighalo ORCID logo and Adewale George Adeniyi ORCID logo

Abstract

Dead biomass of micro-organisms can be used as biosorbents for the mitigation of heavy metal pollution in the aqueous environment. The aim of this study was to statistically model and optimise the sorption of Cd(II) and Pb(II) by dead biomass of Pseudomonas aeruginosa and to study the interactions between operating conditions. Statistically significant models were obtained for Cd(II) and Pb(II) sorption. The standard deviation for the Cd(II) and Pb(II) models were 0.86 and 1.54 while the coefficient of determination (R2) were 0.9978 and 0.9928 respectively. For both models, the adjusted R2 was in good agreement with the predicted R2 as the difference was less than 0.2. Numerical optimisation revealed that optimum Cd(II) removal of 88.6 % can be achieved at 1.172 ppm initial metal concentration, pH of 8.85, temperature of 43.72 °C, agitation time of 125.96 minutes and dead cell mass of 114.8 mg. Also, an optimum Pb(II) removal of 100 % can be achieved at 1.936 ppm initial metal concentration, pH of 6.88, temperature of 37.24 °C, agitation time of 130.57 minutes and dead cell mass of 122.85 mg. The study has revealed that at careful selected operational parameters, dead biomass of Pseudomonas aeruginosa can be valorised for the removal of heavy metals in aqueous media.

Disclosure statement

  1. Conflict of Interest: The authors declare that there are no conflicts of interest.

  2. Compliance with Ethical Standards: This article does not contain any studies involving human or animal subjects.

Acknowledgements

The authors would love to acknowledge Mahnaz Karimpour and Dariush Naghipour of School of Health, Guilan University of Medical Sciences, Rasht, Iran and the other co-authors for making the dataset used for this study available in the public domain. The contributions of Miss Damilola Victoria Onifade in assisting in the FTIR is acknowledged.

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Supplementary Material

The online version of this article offers supplementary material (DOI:https://doi.org/10.1515/cppm-2019-0139).


Received: 2019-12-30
Revised: 2020-02-03
Accepted: 2020-02-21
Published Online: 2020-03-18

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