Development and validation of a green and sustainable procedure for the preparation of Perilla frutescens extracts. (1st February 2022)

• Record Type: Journal Article
• Authors: Wei, Ming-Chi; Wang, Chia-Sui; Liou, Rey-May; Yang, Yu-Chiao
• Is Part Of: Food chemistry. Volume 369(2022)
• Publication Date: 2022-02-01
• Subjects: Perilla frutescens -- Rosmarinic acid -- Ultrasound-assisted supercritical carbon dioxide extraction -- Mass transfer coefficients -- Theoretical solubility -- Thermodynamic parameters; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2021.130929
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: An ultrasound-assisted supercritical (USC) CO2 procedure was shown to be efficient. The kinetic parameters for USC-CO2 were significantly higher than those for SC-CO2 . Sovová model demonstrated the superiority of USC-CO2 for rosmarinic acid extraction. The solubility of rosmarinic acid in a supercritical CO2 ternary system was evaluated. USC-CO2 procedure had lower thermodynamic parameters than traditional SC-CO2 method. Abstract: A procedure combining supercritical CO2 and ultrasound-assisted (USC-CO2 ) extraction was developed to obtain rosmarinic acid (RA)-rich extracts from Perilla frutescens . Based on extraction yields and efficiencies, USC-CO2 was considered the best extraction method among the methods studied for obtaining RA from P. frutescens . The constant extraction rate period and the falling extraction rate period for USC-CO2 extraction of P. frutescens were 45 and 96 min long, respectively, and they were significantly shorter than those of traditional SC-CO2 (TSC-CO2 ) extraction. Furthermore, mass transfer coefficients were derived using the Sovová model for the fluid and solid phases from USC-CO2 extraction, with values of 9.752 × 10 −3 and 4.203 × 10 −3 min −1, respectively, which were obviously higher than those for TSC-CO2 extraction. Consequently, the theoretical solubilities of RA in the supercritical solvents used in dynamic USC-CO2 and TSC-CO2 extractions were estimated and found to be well correlated using three density-based models.