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Formulation of Freeze-Dried Microbial Preparations from Selected Bacterial Strains for the Treatment of Oil Pollution in Aquatic Environments 

Unknown authors
Sep 2026 · Journal of Tropical Science and Engineering · 0 citations · 19 references

Abstract

The effective implementation of bioremediation is often constrained by the stability and delivery of microbial inocula. This study investigated the development and optimization of a hydrocarbon-degrading consortium comprising three indigenous bacterial strains: Rhodococcus ruber JN5.2, Stenotrophomonas acidaminiphila ZB2.1, and Bacillus amyloliquefaciens MD3.3. Phylogenetic analysis confirmed the taxonomic diversity of the members, while cross-streak assays established total biological compatibility, enabling stable coexistence. In synthetic wastewater containing 5% (v/v) oil, the bacterial consortium achieved a total petroleum hydrocarbon (TPH) removal efficiency of 78 ± 6% within 14 days. This performance significantly exceeded that of individual strains (51-54%), supported by a Synergy Index (SI) of 1.48 and a peak biomass density of 8.6 ± 0.9 × 10⁸ CFU/mL. To enhance practical applicability, freeze-drying conditions were optimized. Harvesting biomass at the 24-hour growth phase and utilizing a protective formulation of 10% skim milk, 5% sodium glutamate, and 20% bentonite preserved bacterial viability at ≥ 9.3 log₁₀ CFU/mL after one month of storage. The consortium was evaluated in three formulations: liquid culture, freeze-dried powder (FDO-VN25), and alginate-immobilized beads. Validation using real car-washing wastewater (TPH ≤ 100 mg/L) revealed that while all the formulations improved degradation, the alginate-immobilized system consistently exhibited the highest stability and efficacy, achieving over 60% TPH removal after 14 days. These results demonstrate that integrating a native multi-species consortium with optimized lyophilization and alginate encapsulation provides a robust microbial solution for treating low-strength petroleum-contaminated effluents in complex environments.

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