Biosurfactant-driven desorption and remediation of heavy oil contaminated soils underpinned by molecular simulations and microbial dynamics

基于分子模拟和微生物动力学的生物表面活性剂驱动的重油污染土壤解吸和修复

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Abstract

This study integrates molecular dynamics simulations and bench-scale experiments to investigate the adsorption and desorption behaviors of heavy oil on five mineral substrates: SiO(2), kaolinite, muscovite, and Ca(2+)-/Na(+)-montmorillonite. Adsorption followed Langmuir isotherms, with montmorillonite exhibiting the highest capacities (0.061-0.062 molecules per Å(2) for aromatics in simulations; 0.086-0.091 g g(-1) in bench-scale tests) and SiO(2) the lowest (0.027 pcs per Å(2); 0.013 g g(-1)). Among four biosurfactants evaluated-rhamnolipid, sophorolipid, trehalose lipid, and mannosylerythritol lipid-sophorolipid consistently achieved the greatest desorption efficiency, removing up to 99.63% of adsorbed oil from Na(+)-montmorillonite and 96.04% from field-contaminated soil. 16S rRNA and metagenomic sequencing revealed an increased abundance of hydrocarbon-degrading bacteria within the soil microbial community, highlighting a synergistic effect between biosurfactant-induced desorption and biodegradation. These findings underscore the critical roles of mineralogical properties, oil fraction characteristics, and biosurfactant selection in soil washing treatment. This work presents a viable and eco-friendly strategy for remediating crude oil-contaminated soils, with important implications for optimizing large-scale environmental restoration efforts.

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