%P 375-388 %I Springer Science and Business Media Deutschland GmbH %A Z. Idham %A N.R. Putra %A N.F.M. Idrus %A N. Mili %A M.S.H. Ruslan %A N.A.M. Rasidek %A M.A.C. Yunus %T Characteristics and Empirical Modelling of Extract from Hibiscus sabdariffa Using Supercritical CO2 Extraction with Ethanol-Water as Modifier %J Lecture Notes in Mechanical Engineering %L scholars15706 %O cited By 1; Conference of 3rd International Conference on Separation Technology, ICoST 2020 ; Conference Date: 15 August 2020 Through 16 August 2020; Conference Code:261289 %R 10.1007/978-981-16-0742-4₂₆ %D 2021 %X The main constituents of the extract from Hibiscus sabdariffa calyces are anthocyanins which gave intense natural red colorant and commonly used for centuries for therapeutic purposes. Supercritical carbon dioxide (SC-CO2) technique could produce high-quality extracts from plant materials as it can exploit the non-toxic character and the gasâ��liquid properties of the SC-CO2. This research aimed to characterise the colour and the pattern of Hibiscus sabdariffa SC-CO2 extraction. The colour was evaluated by using a CIELAB method meanwhile the presence of anthocyanins in the red colour extract was confirmed by High-Performance Liquid Chromatograph (HPLC). Two types of empirical models (Modified Brunnerâ��s and Esquivelâ��s models) were used to describe the extracts obtained at series of operational parameters (i.e. pressure and temperature) at 7.5 and 10 of modifier ratio, with a total solvent flow rate of 4 ml/min. Both models were analysed using a non-linear regression method. The modified Brunnerâ��s model shows the best agreement between experimental and model calculated data with the lowest AARD of 1.30 at 70 °C, 10 MPa, and 10 modifier ratio. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. %K Anthocyanins; Color; Plant extracts; Regression analysis; Supercritical fluid extraction; Toxic materials, Characteristic model; Empirical model; Ethanol-water; Hibiscus sabdariffa; Natural red; Red color; S models; SC CO 2; Supercritical carbondioxides; Supercritical CO 2, Carbon dioxide