DEACIDIFICATION OF SOYBEAN OIL USING ETHANOL AND WATER AS SOLVENT: SIMULATION AND SENSITIVITY ANALYSIS IN A MULTISTAGE LIQUID-LIQUID EXTRACTION COLUMN

Autor: Jacqueline Ortega Bacicheti, Fabio Nishiyama, Guilherme Machado, Vladimir Cabral
Rok vydání: 2023
DOI: 10.22541/au.168364805.51233121/v1
Popis: Studies regarding the deacidification plant process conducted by liquid-liquid extraction for multicomponent mixtures are limited, and no study about the simulation of the deacidification process focused on soybean oil was found in the literature. The objective of this work was to simulate the soybean oil deacidification process by liquid-liquid extraction using ethanol+water (6 wt.%, 12 wt.%, 20 wt.%, 30 wt.%) mixtures as the solvent and evaluate the effect of the mass flow of solvent and the number of stages on the soybean oil yield and final acidity. The process was simulated in a multistage countercurrent liquid-liquid column, and the previously adjusted UNIFAC interaction parameters were used. The sensitivity analysis indicated that no significant difference in the recovery% of soybean oil was observed changing the number of stages, and a higher solvent-to-feed ratio results in a lower free fatty acids(FFA) percentage in the de-acidified oil, while increases in the water% in the solvent are detrimental to the FFA removal. The concentration of FFA in the soybean oil was reduced from 2.54% up to 0.17% at the optimal ratio of 3:1 ethanol + water (20 wt.%) /oil by weight, resulting in an oil recovery higher than 99.0%.
Databáze: OpenAIRE
načítá se...