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Original Articles

Investigation of biodegradable polyaspartate as an effective chelant for washing of lead from soil: response surface methodology approach

ORCID Icon, , , ORCID Icon &
Pages 2679-2696 | Received 13 Nov 2019, Accepted 16 Dec 2019, Published online: 08 Jan 2020
 

ABSTRACT

In this work, a biodegradable chelant (polyaspartate) was synthesised by using L-aspartic via polysuccinimide and used for removal of lead from polluted soil. The interactive effects of operating parameters, polyaspartate dose, metal concentration, polyaspartate/soil ratio, pH and extraction time, were examined via 35 factorial face-centred central composite design matrix and response surface methodology. The examined responses for the two models developed were (i) concentration of extracted Pb in polyaspartate solution and (ii) residual concentration of Pb in the treated soil. The optimal removal efficiency was 90%, which yields 18 mg/L of extracted Pb and 50 mg/kg of residual Pb in the treated soil, at conditions of pH 3, extraction time of 6 h under highest level of initial Pb concentration (500 mg/kg), polymer/soil ratio of 25 and polyaspartate dose of 36 mmol/L. However, at the lowest level of polymer/soil ratio of 5, the maximum removal efficiency dwindled to 59% with higher residual Pb and extracted Pb concentrations of 205 mg/kg and 59 mg/L, respectively. The results showed that higher soil washing efficiency was linked to lower initial pH, increase in initial lead ions concentration and polyaspartate/soil ratio. The study signifies eco-friendly polyaspartate as an efficient chelant for remediation of Pb polluted soil via washing technique.

Acknowledgments

The authors gratefully acknowledged the financial support provided by Imam Abdulrahman Bin Faisal University through project number: 2016-356-Eng. Some research facilities provided by the chemistry department of King Fahd University of Petroleum and Minerals (KFUPM) are thankfully acknowledged.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Imam Abdulrahman Bin Faisal University through project number [2016-356-Eng].

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