The present study focuses on the selective supercritical CO2 extraction of sesquiterpenoid compounds, i.e., carotol and daucol, from carrot seed. These compounds are known for their antifungal properties and are essential for industries such as pharmaceuticals and cosmetics. The experimental runs are designed using the Design of Experiments (DoE) method spanning over the entire range of significant process parameters. These input parameters are the pressure, temperature, flow rates of the solvent and the co-solvent. The extracted oil samples are characterized to know their physico-chemical properties and composition to evaluate their application potential. To find the optimum operating conditions for maximum sesquiterpenoid (selective) extraction, intermediate experimental data is generated by two regression techniques: one, inbuilt ordered expression fitting in DoE, and the other, through Artificial Neural Network (ANN) modeling. Amongst these two, ANN regression is found to be more robust, offering reliable insights into the extraction process. All rights reserved,...

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