Extraction of passion fruit seed oil using supercritical CO2: a study of mass transfer and rheological property by Bayesian inference
DOI:
https://doi.org/10.3989/gya.095512Keywords:
Bayesian inference, Passion fruit, Seed oil, Supercritical CO2Abstract
The extraction of oil from passion fruit seeds using supercritical CO2 was studied. Experimental data were obtained for extraction conducted at 15, 20 and 25 MPa; at temperatures of 40 and 50 °C with CO2 flow rates of 1.5 and 3.0 mL min–1. An increase in the pressure, temperature and CO2 flow rate increased the yield. The maximum extraction yield obtained was 18.5%. The mass transfer coefficients for passion fruit oil were found to be 8.496 3 10-5 s-1 at 25 MPa, 50 °C and 3 mL s–1 CO2 flow rate. Dilatant fluid behavior was observed in all tests of the rheological study.
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