Removal of manganese from synthetic waste waters with Parthenium Hysteroporous bud and leaf powder and optimization using Artificial Neural Networks and Response Surface Methodology
| Autor: | S. Sirisha Naidu, M. Tukaram Bai, Ch. A. I. Raju, Ch. Beena, N. M. Yugandhar |
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| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
biology Contact time Biosorption chemistry.chemical_element Sorption 02 engineering and technology General Medicine Manganese 021001 nanoscience & nanotechnology biology.organism_classification 01 natural sciences Parthenium chemistry Chemical engineering 0103 physical sciences Response surface methodology Fourier transform infrared spectroscopy 0210 nano-technology |
| Zdroj: | Materials Today: Proceedings. 42:851-861 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2020.11.595 |
| Popis: | The heightening of mechanical movement during late years is enormously adding to an expanding scattering of harmful mixes in regular habitats, mostly in amphibian frameworks. The utilization of synthetic substances is likewise expanding for the expulsion of poisons from Aquatic Systems and so as to decrease the toxins in the oceanic frameworks the current work is performed with the assistance of a sorption process. The current examination manages the biosorption of manganese onto parthenium bud & leaf powder. The boundaries pH (2–8), Contact time (1–4 Hrs), Initial concentrations (20–150 mg/L), Temperature (283–323 K), size (150-53µm)are read cautiously. Under this examination the sorption is observed with various boundaries at their particular ideal states of pH, Contact time,size, Concentration and Temperature. The FTIR, XRD, SEM investigations were performed for the Characterization and optimized using artificial neural networks and response surface methodology |
| Databáze: | OpenAIRE |
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