Modeling and Optimization of the Isolation of Blackcurrant and Black Cumin Seeds Oils Using Supercritical Fluid Extraction

Supercritical fluid extraction is a powerful analytical tool and it is willingly used by researchers for the isolation of various components from different matrices. In our study, the carbon dioxide in the supercritical state was used for the extraction of oils from blackcurrant and black cumin seeds. To determine the optimal conditions for the process (temperature, pressure and time), the method of statistical experiment planning and the Box-Behnken design was applied and the yield of the oils and the content of fatty acids (FAs) were taken into consideration. It has been found that an increase in pressure causes an increase in extraction yield (W), and an increase in temperature, both at constant pressure and time, does not significantly change the yield value. Optimal yield values were obtained for both materials under almost similar extraction parameters: 306 bar/ 43 min/ 50 degrees C (blackcurrant) and 282 bar/ 40 min/ 50 degrees C (black cumin). The influence of the above parameters (T, p, t) on the content of FAs in the extracts has a slightly different trend. The use of supercritical carbon dioxide for the extraction of blackcurrant and black cumin seeds allowed for high process yield and high-quality, rich in polyunsaturated fatty acids oils which can be used as a substrate or final product for industry.

Automated summary

Supercritical fluid extraction is a powerful tool for isolating components from different matrices. In this study, carbon dioxide in the supercritical state was used to extract oils from blackcurrant and black cumin seeds. The optimal conditions for the extraction process were determined using statistical experiment planning and the Box-Behnken design, taking into consideration the yield of the oils and the content of fatty acids. The results showed that increasing pressure led to an increase in extraction yield, while increasing temperature did not significantly affect the yield value.