Enhanced Water Treatment using Sustainable nanomaterial- based Adsorbents

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Abstract

This research examines the effectiveness of nanomaterial-based adsorbents in improving water treatment. It specifically looks at their ability to adsorb contaminants, their efficiency in removing pollutants, the speed at which they work, and their ability to be regenerated. Four distinct nanomaterials, labeled as Nanomaterials A, B, C, and D, were produced and analyzed to assess their effectiveness in eliminating contaminants from liquid solutions. The results showed that Nanomaterial D displayed the maximum adsorption capacity, measuring 142 mg/g, which indicates its exceptional capability to adsorb contaminants. In addition, Nanomaterial C had the best removal efficiency of 97.5%, highlighting its efficacy in decreasing pollutant concentrations in water. The analysis of kinetic characteristics revealed that Nanomaterial C had the greatest pseudo-second-order rate constant, indicating fast adsorption kinetics and robust surface contacts. In addition, Nanomaterial C had the greatest regeneration efficiency of 85%, suggesting its suitability for sustainable water treatment purposes. The results emphasize the impressive effectiveness of adsorbents made from nanomaterials in tackling water quality issues and advancing environmental sustainability. Nanomaterial-based adsorbents may have a significant impact on securing clean and secure water supplies for current and future generations by improving synthesis processes, comprehending adsorption mechanisms, and evaluating regeneration features. Additional study is required to investigate other parameters that affect the performance of adsorbents and to assess their long-term stability and cost- effectiveness for practical use in water treatment systems.

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APA

Bhalla, L., Saxena, A., Sharma, P., Gupta, T., Krishna, P., & Vyas, A. (2024). Enhanced Water Treatment using Sustainable nanomaterial- based Adsorbents. In E3S Web of Conferences (Vol. 547). EDP Sciences. https://doi.org/10.1051/e3sconf/202454703027

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