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Utilization of Resistant Bacteria for Zn Elimination: Applications in Remediation of Industrial Contaminants
Dr. Carlos Ortega , Department of Molecular Biology, University of Granada, SpainAbstract
The increasing discharge of zinc (Zn)-laden effluents from industrial operations such as metal processing, electroplating, and chemical manufacturing has intensified concerns regarding environmental toxicity and ecosystem destabilization. Conventional physicochemical remediation approaches often suffer from high operational costs, secondary pollution generation, and limited efficiency under low-concentration conditions. In this context, biologically mediated remediation using zinc-resistant bacterial systems has emerged as a promising, sustainable alternative for industrial wastewater treatment. This study explores the theoretical and functional feasibility of resistant microbial isolates for Zn elimination, with an emphasis on diffusion-driven transport mechanisms, adsorption–bioaccumulation pathways, and system-level pollutant dispersion modeling.
The conceptual framework integrates microbial resistance behavior with classical diffusion and transport theories originally developed in fluid mechanics and particle motion studies (Taylor, 1922; Elder, 1959; Smith, 1981). These models are adapted to describe Zn migration in aqueous systems and its interaction with microbial cell surfaces. The role of turbulent dispersion and contaminant mixing is also examined using longitudinal dispersion theories (Chatwin, 1971). Additionally, microbial detoxification mechanisms are contextualized through prior evidence of zinc-resistant bacterial activity in industrial waste environments (Pratap et al., 2022).
The review and analytical synthesis indicate that bacterial Zn removal operates through multi-layered mechanisms, including biosorption, intracellular sequestration, and enzymatically regulated efflux systems. These mechanisms are influenced by environmental hydrodynamics, contaminant concentration gradients, and microbial metabolic adaptability. The integration of microbial processes with diffusion-based transport models provides a predictive understanding of Zn behavior in complex wastewater matrices.
Findings suggest that resistant bacterial systems offer scalable and adaptive solutions for industrial effluent remediation, particularly in decentralized treatment frameworks. However, limitations persist in terms of strain stability, process optimization, and environmental variability. The study concludes that combining microbial biotechnology with transport modeling can significantly enhance Zn remediation efficiency while supporting sustainable wastewater management strategies.
Keywords
Zinc remediation, resistant bacteria, industrial wastewater, biosorption
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