Abstract
The present study focuses on supercritical fluid extraction (SFE) of essential oil from turmeric root waste. It is an analytical extension of our previous experimental work (Priyanka and Khanam, 2018a, Priyanka and Khanam, 2018b). As one of the objectives, a physico-chemical characterization study shows that turmeric root oil is rich in oleic acids, making it suitable for use in the pharmaceutical and cosmetics industries. The other objective is to gain more insights into the experimental observations through two analytical methods – Mathematical Modelling (MM) and Artificial Neural Network (ANN). Through MM, it is seen that the SFE of turmeric root has an initial fast extraction followed by a slow extraction phase, and the solid phase mass transfer resistance dominates the process. The most optimized conditions for maximum oil yield OY are found through ANN since ANN can predict OY values for conditions for which experimental results do not exist. Phenomena like solute-solvent repulsion, volatility, and the role of intra-cellular structures are investigated through optimization of pressure, temperature, solvent/ co-solvent flow rates, and particle size. Through this work, the significance of turmeric root oil is established, a method of extraction is proposed, the physics involved in extraction is investigated, and optimized parameters for the extraction are suggested.
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