Supercritical CO2 Extraction of Seed Oil from Psophocarpus tetragonolobus (L.) DC.: Optimization of Operating Conditions through Response Surface Methodology and Probabilistic Neural Network

For the treatment of menopausal symptoms, nutraceuticals and herbal remedies are thought to be more natural safer than hormones. Attention has been paid winged bean (Psophocarpus tetragonolobus (L.)) DC. seed oil. They constituted phytosterols, which may effective in preventing symptoms. The purpose was determine optimal conditions for supercritical fluid extraction oleic-rich oil from seeds. To optimize condition, response surface methodology (RSM) probabilistic neural network (PNN) were utilized. In this research, PNN used improve RSM estimation by reducing number calculations. optimized entailed a CO2 flow rate 21.3 L/h, pressure 30 MPa, temperature 55 °C, an time 90 min. Under these conditions, process yielded maximum yield 36.27%. Ultimately, included greater proportion unsaturated fatty acids such as oleic acid, linoleic acid produced using cold pressing or co-solvent extraction.