Development and validation of a green and sustainable procedure for the preparation of Perilla frutescens extracts

•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 supercr...

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Veröffentlicht in:Food chemistry 2022-02, Vol.369, p.130929-130929, Article 130929
Hauptverfasser: Wei, Ming-Chi, Wang, Chia-Sui, Liou, Rey-May, Yang, Yu-Chiao
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Sprache:eng
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Zusammenfassung:•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. 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.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2021.130929