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Biomineralisation for Sustainable Ecotoxic Metal Immobilisation via Enzyme Induced Carbonate Precipitation
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Abstract
Heavy metal contamination of water presents a critical global challenge driven by the persistence and toxicity of elements such as arsenic, cadmium and lead. Conventional remediation strategies, such as Enzyme-Induced Carbonate Precipitation (EICP), typically rely on commercial urease and a multi-step extraction process, which increases energy demand, generates ammonium byproducts, and requires significant chemical inputs. In this study, we introduce a streamlined EICP approach employing crude soybean urease extract to treat a range of nine ecotoxic metals (As, Cd, Co, Cr, Cu, Li, Ni, Pb, Zn) in aqueous solutions. Crystallographic and morphological analyses revealed calcite as a recurring phase across all treatments, with element-specific carbonate minerals, such as otavite and cerussite, detected in the corresponding systems. The method integrates low-power juicing, single-step filtration, and minimal reagent use, delivering effective removal, while only arsenic and copper exhibited notable enzymatic inhibition. Compared with conventional protocols, the proposed adaptive optimisation workflow lowered energy demand, reduced chemical inputs, and mitigated greenhouse gas emissions. By incorporating waste-derived calcium and urea, the process establishes a closed-loop cycle, offering pathways for application in engineered treatment plants, active dosing systems, or passive remediation schemes. Future work should focus on mixed-metal systems and molecular-scale mechanisms to strengthen the foundation for the field-scale deployment of this sustainable strategy.
DOI
https://doi.org/10.31223/X5PT7J
Subjects
Engineering, Physical Sciences and Mathematics
Keywords
Ecotoxic metal remediation; geochemistry; biomineralisation; enzyme-induced carbonate mineralization(EICP);
Dates
Published: 2025-10-02 00:59
Last Updated: 2025-10-02 00:59
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
N/A
Data Availability (Reason not available):
It will be available under request
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