Abstract

The present investigation focuses on a sustainable and innovative strategy for the removal of heavy metals from contaminated water by the application of a low-cost and highly efficient adsorbent. The increasing volume of environmental degradation due to rapid urbanization, industrialization and unsustainable anthropogenic activities has severely impacted the water quality that leads to the depletion of freshwater resources and the accumulation of hazardous wastes. One of the most critical issues arises from the massive discharge of effluents generated by chemical based industries such as electroplating, mining, metal finishing, tanning, textile, fertilizer and paint manufacturing units. These effluents contain significant concentrations of toxic heavy metals that results the environmental pollution. Given these concerns, the systematic analysis and monitoring of surface water and groundwater for heavy metal contamination has become imperative to safeguard environmental sustainability and public health. These include the requirement of extensive land area for operation, complex and costly sludge management processes, high operational and maintenance costs, and dependence on trained technical personnel. Furthermore, many of these conventional techniques are inefficient to treat low-concentration pollutants and the production of secondary pollutants. Batch experiments are carried out for kinetic studies on the removal of heavy metals from aqueous solution. AAS is used for the determination of dissolved and total recoverable heavy metals in industrial effluent. To overcome these limitations, the present study emphasizes the development and utilization of a feasible adsorbent as an alternative remediation strategy.

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Citation

Natarajan Sampathkumar., et al. “Study on the Effective Removal of Heavy Metals from the Tannery Industry Effluents using Natural Adsorbents". Clareus Scientific Science and Engineering 2.9 (2025): 17-25.

Copyright

© 2025 Natarajan Sampathkumar., et al. Licensee Clareus Scientific Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.