ArticleRSC advances2025
Integration of RNN and CatBoost models in a tea-waste biochar filtration system for toxic organic pollutant removal efficiency prediction.
Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
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Abstract
Water pollution is a dreadful global crisis undermining the environment and economy. In order to combat this issue, several methods and techniques are adopted for treating the polluted water. Adsorption by biowastes is one of the most economically viable, simple, and effective methods for wastewater treatment. In spite of numerous reports in the literature showing the removal of various pollutants, there is still room for investigation in the field of simultaneous adsorption of varied categories of pollutants. The present study focuses on the simultaneous removal of organic water contaminants like dyes, agrochemicals, and aromatic compounds from wastewater using biochar prepared from tea waste as adsorbent. A detailed investigation on the effect of contact time, pH, dosage, and temperature on the adsorption performance of adsorbent has been carried out. At optimized reaction condition of 5 mg ml
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