Optimization and Statistical Modeling of the Adsorptive Capacity of Activated Carbon from Elephant Grass
DOI:
https://doi.org/10.5327/fst.576Keywords:
biomass, elephant grass, activated carbon, adsorbent, statistical modeling, optimizationAbstract
With high productivity and easy adaptation to diverse ecosystems, elephant grass (Pennisetum purpureum Schum) shows strong potential for biomass production. The aim of this study was to evaluate the efficiency and adsorptive capacity of activated carbon derived from elephant grass, applying the Plackett–Burman methodology to analyze the methylene blue adsorption test. The independent variables considered include temperature (20, 25, and 30 °C), carbon mass (0.3, 0.6, and 0.9 g), solution pH (6.5, 7.5, and 8.5), adsorption time (7, 14, and 21 min), dye concentration (20, 60, and 100 mg/L⁻1), agitation speed (71, 119, and 167 rpm), and carbon particle diameter (0.45, 1.23, and 2 mm). The experimental responses for dye removal efficiency were all above 98.91%, with a maximum adsorption capacity of 9.99 mg/g, indicating its potential for dye removal. Response surface methodology was employed to optimize the adsorption process, yielding a statistical model with a coefficient of determination (R²) of 99.4%. The yield of the adsorbent material was approximately 30% of the dry matter. These findings highlight the potential of elephant grass as a sustainable source for producing adsorbents.
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