Bacterial-Driven Removal of Zn Via Resistant Isolates: Potential Roles in Treatment Of Manufacturing Wastes

Abstract

The increasing discharge of zinc-contaminated effluents from manufacturing sectors poses significant environmental and public health challenges due to the persistence and bioaccumulative nature of heavy metals. Conventional physicochemical treatment methods often suffer from high operational costs, incomplete removal, and secondary pollution generation. In this context, biological remediation using metal-resistant bacterial strains has emerged as a sustainable and efficient alternative. This study explores the feasibility and mechanistic basis of zinc (Zn) removal through resistant bacterial isolates, emphasizing their applicability in industrial wastewater treatment systems.

The research integrates theoretical frameworks from environmental management policies, network-based system modeling, and microbial remediation to propose a multidisciplinary approach. Drawing upon insights from regulatory frameworks and waste management strategies (Iran’s environmental policies, 2004; Tehran waste management plan, 2010), the study contextualizes the need for decentralized and adaptive treatment technologies. Additionally, concepts from social network analysis and system modeling are adapted to understand microbial interactions, resilience, and functional clustering in contaminated environments (Freeman, 2004; Scott, 1991).

The methodological framework combines biosorption kinetics, microbial tolerance profiling, and system-level modeling using topological potential and clustering approaches (Jiang et al., 2010; Jun et al., 2010). The study further integrates findings from microbial zinc removal research to establish performance benchmarks and validate biological efficiency (Pratap et al., 2022). Results indicate that resistant bacterial strains exhibit high Zn uptake efficiency through mechanisms such as cell surface adsorption, intracellular accumulation, and enzymatic transformation.

The findings demonstrate that bacterial-driven Zn removal is not only effective but also scalable when integrated with decentralized wastewater treatment systems. However, challenges related to system stability, regulatory compliance, and economic feasibility remain. The study concludes by highlighting the potential of combining biological remediation with intelligent system modeling to enhance industrial wastewater management.