Modeling of Rice Bran Oil Yield and Bioactive Compounds Obtained Using Subcritical Carbon Dioxide Soxhlet Extraction (SCDS)

Abstract

Subcritical carbon dioxide Soxhlet extraction (SCDS) is an innovative green technology that has been proven capable of extracting 10 times more bioactive compounds than hexane in rice bran oil extraction. As this technology has commercialization potential, understanding the extraction behavior and modeling the extraction curves are essential. In this study, the extraction kinetics of rice bran oil and its bioactive compounds, namely, α-, β-, γ-, and δ-tocopherol; α-, γ-, and δ-tocotrienol; and γ-oryzanol, are discussed and modeled using the diffusion model (DM), logistic model (LM), and simple single plate model (SSPM). Overall, the extraction rate of the oil yield and bioactive compounds was halved after 7 h of extraction. After 15 h of extraction, up to 94.24% of the extractable total tocopherol and 91.79% of the extractable total tocotrienol were extracted. The SSPM is recommended for modeling oil yield and oryzanol, while LM is suitable to model tocopherols and tocotrienols.

Edible oils as a co-extractant for the supercritical carbon dioxide extraction of flavonoids from propolis

“…The OECs were also correlated with the diffusion model to investigate the edible oils’ effects on the solute diffusion in the matrix [ 32 ]. The corresponding equation is as follows: where m t is the mass of the extract at time t , m o is the extractable solute, D m is the matrix diffusivity, and the particles are assumed to be spherical.…”