<p><?tk 4?>Pesticides pose a significant threat to soil ecosystems worldwide due to their widespread use in agricultural practices. Bioremediation offers a sustainable solution by leveraging the natural capabilities of microorganisms. This study explores the efficacy of <i>Chlorella vulgaris</i> in remediating dimethoate and atrazine contamination in soil environments. Culturing <i>C. vulgaris</i> in a pesticide-contaminated soil slurry revealed a dose-dependent increase in removal efficiency, peaking at a 1.0 mgL<sup>−1</sup> concentration for both pesticides. Moreover, contact time significantly influenced removal rates, with 40% dimethoate and 45.5% atrazine removal achieved after 14 days. Optimal microalgal dosage (10 mL) yielded the highest removal efficiencies, indicating a saturation effect beyond this threshold. High-performance liquid chromatography analysis confirmed notable reductions in pesticide concentrations post-bioremediation. Response Surface Methodology analyses further validated the model’s significance and suitability for predicting removal efficiencies, highlighting the robustness of the bioremediation process. Findings underscore the potential of <i>C. vulgaris</i> as a cost-effective and environmentally friendly approach for mitigating pesticide contamination in agricultural soils. Future research should focus on elucidating the underlying mechanisms driving observed trends to further optimize bioremediation strategies.</p> Graphical abstract <p></p>

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Bioremediation of dimethoate and atrazine in black cotton soil using Chlorella vulgaris

  • Hillary Agaba Yeheyo,
  • Anu Mary Ealias,
  • Koteswara Reddy Gujjula,
  • Giphin George

摘要

Pesticides pose a significant threat to soil ecosystems worldwide due to their widespread use in agricultural practices. Bioremediation offers a sustainable solution by leveraging the natural capabilities of microorganisms. This study explores the efficacy of Chlorella vulgaris in remediating dimethoate and atrazine contamination in soil environments. Culturing C. vulgaris in a pesticide-contaminated soil slurry revealed a dose-dependent increase in removal efficiency, peaking at a 1.0 mgL−1 concentration for both pesticides. Moreover, contact time significantly influenced removal rates, with 40% dimethoate and 45.5% atrazine removal achieved after 14 days. Optimal microalgal dosage (10 mL) yielded the highest removal efficiencies, indicating a saturation effect beyond this threshold. High-performance liquid chromatography analysis confirmed notable reductions in pesticide concentrations post-bioremediation. Response Surface Methodology analyses further validated the model’s significance and suitability for predicting removal efficiencies, highlighting the robustness of the bioremediation process. Findings underscore the potential of C. vulgaris as a cost-effective and environmentally friendly approach for mitigating pesticide contamination in agricultural soils. Future research should focus on elucidating the underlying mechanisms driving observed trends to further optimize bioremediation strategies.

Graphical abstract