Supplementary Files
Keywords
Decolorization
Activated Carbon
Response Surface Methodology
Optimization
How to Cite
Abstract
This study focused on maximizing the removal of color pigments from crude rice bran oil (CRBO) using coconut shell-derived activated carbon (CSAC). The study began by analyzing the physical properties of the CSAC used, including pH, bulk density, moisture content, ash content, and iodine number. The analysis showed a pH of 6.95, bulk density of 0.68 g/mL, moisture content of 4.13%, ash content of 8.75%, and an iodine number of 851.84 mg/g. Response surface methodology (RSM) was applied to guide the decolorization process of the CRBO, using the identified conditions to treat the oil. The design variables included adsorbent dosage, temperature, and contact time, with decolorization efficiency serving as the actual and predicted response variable. With a composite desirability score of 0.929, the optimum predicted percentage for decolorization efficiency was determined to be 65.4% at 0.85% w/v, 50oC, and a contact time of 43 min. Statistical analysis confirmed the significance of the optimization model. Based on the color analysis, it was determined that sample 1, which achieved the highest decolorization efficiency (61.1%), was the most successful decolorization process out of all the runs that have been conducted.
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