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<p>Phenolic pollution poses a significant environmental issue due to its toxicity and persistence in aquatic ecosystems. This study investigates an innovative approach utilizing immobilized Salinivibrio kushneri within alginate and water hyacinth-derived biochar microspheres for the removal of phenol from aqueous solutions. Bacterial strains with high phenol-degrading capacity were isolated, and the best-performing strain was identified by 16&#xa0;S rDNA sequencing (GenBank accession no. PQ836117). Two biosorbents were evaluated: Bacteria-Alginate Microspheres (BAMs) and Bacteria-Loaded Biochar-Alginate Microspheres (BLBAMs). The BLBAMs outperformed BAMs, achieving phenol removal rates over 87%. This maximum efficiency was achieved under optimal conditions of pH 7, 30&#xa0;h contact time, and a phenol concentration of 51.76&#xa0;mg/L. Kinetic and isotherm modeling indicated that the adsorption process was driven by chemisorption and followed the Langmuir model, with a monolayer adsorption capacity of 53.19&#xa0;mg/g. The pseudo-second-order model (<i>R</i><sup>2</sup> = 0.999) provided the best fit to the data. The study demonstrates that integrating microbial activity with water hyacinth-derived biochar provides a sustainable and cost-effective method for phenol removal, supporting scalable bioremediation strategies for wastewater treatment.</p>

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Synergistic strategies of Salinivibrio kushneri immobilization on biochar alginate microspheres for the removal of phenol from aqueous solution modeling approaches

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月1日

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  • Mohammed T. M. H. Hamad,
  • Walaa S. Mohamed

摘要

Phenolic pollution poses a significant environmental issue due to its toxicity and persistence in aquatic ecosystems. This study investigates an innovative approach utilizing immobilized Salinivibrio kushneri within alginate and water hyacinth-derived biochar microspheres for the removal of phenol from aqueous solutions. Bacterial strains with high phenol-degrading capacity were isolated, and the best-performing strain was identified by 16 S rDNA sequencing (GenBank accession no. PQ836117). Two biosorbents were evaluated: Bacteria-Alginate Microspheres (BAMs) and Bacteria-Loaded Biochar-Alginate Microspheres (BLBAMs). The BLBAMs outperformed BAMs, achieving phenol removal rates over 87%. This maximum efficiency was achieved under optimal conditions of pH 7, 30 h contact time, and a phenol concentration of 51.76 mg/L. Kinetic and isotherm modeling indicated that the adsorption process was driven by chemisorption and followed the Langmuir model, with a monolayer adsorption capacity of 53.19 mg/g. The pseudo-second-order model (R2 = 0.999) provided the best fit to the data. The study demonstrates that integrating microbial activity with water hyacinth-derived biochar provides a sustainable and cost-effective method for phenol removal, supporting scalable bioremediation strategies for wastewater treatment.