Greywater, originating from kitchen sinks and toilets, constitutes 75-80 % of the domestic wastewater produced in homes and can be reclaimed for non-potable uses. This study synthesized novel sludge-derived aluminosilicates and alginate-polyethyleneimine (PEI) biochar composites. The aluminosilicates offer a sustainable approach to sludge management, while alginate-polyethyleneimine presents a green biochar modification approach. Their performance in fixed bed columns for treating greywater was compared with zinc chloride, calcium alginate, and PEI-biochar composites. The CatBoost machine learning algorithm also predicted contaminant removal efficiency and breakthrough parameters. The morphological and chemical analyses showed that the modification techniques improved the physiochemical properties of the biochar, which in turn influenced contaminant removal efficiency. With its enhanced surface area and pore structure, zinc chloride-biochar demonstrated notable effectiveness in removing organic matter (highest COD removal efficiency 96.1 %). PEI-biochar exhibited a high removal efficiency for nitrates (highest value of 95.5 %), attributed to the positive amine groups. Aluminosilicate-biochar was the most effective at removing ammonium due to its high cation exchange capacity. The CatBoost algorithm successfully stimulated E. coli, total nitrogen, COD removal efficiencies, and breakthrough parameters from greywater using biochar (R2 > 0.7). Future research should conduct a pilot-scale study for this technology, explore the use of modified biochar arranged in multilayers for treating greywater, use of biochar for removing emerging contaminants in greywater, and optimize predictive models for greywater treatment. The insights from our study provide valuable guidance for effective and sustainable greywater treatment.
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