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Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology

Surfactant-enhanced soil washing has been used for remediation of organic pollutants for an extended period, but its effectiveness and wide application was limited by the high concentration of surfactants utilized. In this work, the efficiency of conventional soil washing performance was enhanced by...

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Autores principales: Ayele, Befkadu Abayneh, Lu, Jun, Chen, Quanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7024577/
https://www.ncbi.nlm.nih.gov/pubmed/32095374
http://dx.doi.org/10.7717/peerj.8578
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author Ayele, Befkadu Abayneh
Lu, Jun
Chen, Quanyuan
author_facet Ayele, Befkadu Abayneh
Lu, Jun
Chen, Quanyuan
author_sort Ayele, Befkadu Abayneh
collection PubMed
description Surfactant-enhanced soil washing has been used for remediation of organic pollutants for an extended period, but its effectiveness and wide application was limited by the high concentration of surfactants utilized. In this work, the efficiency of conventional soil washing performance was enhanced by 12–25% through the incorporation of air bubbles into the low concentration surfactant soil washing system. Surfactant selection pre-experiment using aerated and conventional soil washing reveals Brij 35 > TX100 > Tween 80 > Saponin in diesel oil removal. Optimization of the effect of time, surfactant concentration, pH, agitation speed, and airflow rate in five levels were undertaken using Response Surface Methodology and Central composite design. The optimum degree of variables achieved was 90 min of washing time, 370 mg/l of concentration, washing pH of 10,535 rpm of agitation speed and 7.2 l/min of airflow rate with 79.5% diesel removal. The high predicted R(2) value of 0.9517 showed that the model could efficiently be used to predict diesel removal efficiency. The variation in efficiency of aeration assisted and conventional soil washing was variable depending on the type of surfactant, organic matter content of the soil, particle size distribution and level of pollutant weathering. The difference in removal efficiency of the two methods increases when the level of organic matter increases and when the particle size and age of contamination decreases.
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spelling pubmed-70245772020-02-24 Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology Ayele, Befkadu Abayneh Lu, Jun Chen, Quanyuan PeerJ Soil Science Surfactant-enhanced soil washing has been used for remediation of organic pollutants for an extended period, but its effectiveness and wide application was limited by the high concentration of surfactants utilized. In this work, the efficiency of conventional soil washing performance was enhanced by 12–25% through the incorporation of air bubbles into the low concentration surfactant soil washing system. Surfactant selection pre-experiment using aerated and conventional soil washing reveals Brij 35 > TX100 > Tween 80 > Saponin in diesel oil removal. Optimization of the effect of time, surfactant concentration, pH, agitation speed, and airflow rate in five levels were undertaken using Response Surface Methodology and Central composite design. The optimum degree of variables achieved was 90 min of washing time, 370 mg/l of concentration, washing pH of 10,535 rpm of agitation speed and 7.2 l/min of airflow rate with 79.5% diesel removal. The high predicted R(2) value of 0.9517 showed that the model could efficiently be used to predict diesel removal efficiency. The variation in efficiency of aeration assisted and conventional soil washing was variable depending on the type of surfactant, organic matter content of the soil, particle size distribution and level of pollutant weathering. The difference in removal efficiency of the two methods increases when the level of organic matter increases and when the particle size and age of contamination decreases. PeerJ Inc. 2020-02-13 /pmc/articles/PMC7024577/ /pubmed/32095374 http://dx.doi.org/10.7717/peerj.8578 Text en © 2020 Ayele et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Soil Science
Ayele, Befkadu Abayneh
Lu, Jun
Chen, Quanyuan
Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology
title Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology
title_full Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology
title_fullStr Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology
title_full_unstemmed Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology
title_short Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology
title_sort optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology
topic Soil Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7024577/
https://www.ncbi.nlm.nih.gov/pubmed/32095374
http://dx.doi.org/10.7717/peerj.8578
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