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Título: | Multivariable optimization of activated carbon production from microwave pyrolysis of brewery wastes - Application in the removal of antibiotics from water |
Autor: | Sousa, Érika M L; Otero, Marta; Rocha, Luciana S; Gil Matellanes, María Victoria CSIC ORCID ; Ferreira, Paula; Esteves, Valdemar I; Calisto, Vânia | Palabras clave: | Fractional factorial design Spent brewery grain Waste-based adsorbents Pharmaceuticals Water treatment |
Fecha de publicación: | 5-jun-2022 | Editor: | Elsevier | Citación: | Journal of Hazardous Materials 431: 128556 (2022) | Resumen: | This study aimed at optimizing the one-step chemical activation and microwave pyrolysis of an agro-industrial waste to obtain a microporous activated carbon (AC) with superior textural and adsorptive properties by a fast, low-reagent and low-energy process. Spent brewery grains were used as precursor, and the antibiotics sulfamethoxazole (SMX), trimethoprim (TMP) and ciprofloxacin (CIP) were considered as target adsorbates. A fractional factorial design was applied to evaluate the effect of the main factors affecting the preparation of AC (activating agent, activating agent:precursor ratio, pyrolysis temperature and residence time) on relevant responses. Under optimized conditions (K2CO3 activation, pyrolysis at 800 °C during 20 min and a K2CO3:precursor ratio of 1:2), a microporous AC with specific surface area of 1405 m2 g-1 and large adsorption of target antibiotics (82-94%) was obtained and selected for further studies. Equilibrium times up to 60 min and maximum Langmuir adsorption capacities of 859 µmol g-1 (SMX), 790 µmol g-1 (TMP) and 621 µmol g-1 (CIP) were obtained. The excellent textural and adsorptive properties of the selected material were achieved with a very fast pyrolysis and low load of activating agent, highlighting the importance of optimization studies to decrease the environmental and economic impact of waste-based AC. | Versión del editor: | https://doi.org/10.1016/j.jhazmat.2022.128556 | URI: | http://hdl.handle.net/10261/303943 | DOI: | 10.1016/j.jhazmat.2022.128556 | ISSN: | 0304-3894 |
Aparece en las colecciones: | (INCAR) Artículos |
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Multivariable_optimization_Sousa.pdf | 5,06 MB | Adobe PDF | Visualizar/Abrir |
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