Development and characterization of a green procedure for apigenin extraction from Scutellaria barbata D. Don. (30th June 2018)

• Record Type: Journal Article
• Authors: Yang, Yu-Chiao; Wei, Ming-Chi
• Is Part Of: Food chemistry. Volume 252(2018)
• Page Start: 381
• Page End: 389
• Publication Date: 2018-06-30
• Subjects: Scutellaria barbata D. Don -- Apigenin -- Supercritical CO2 extraction -- Ultrasound-assisted extraction -- Second-order kinetic model -- Eyring transition state theory -- Green alternative procedure -- Theoretical solubility; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2017.12.086
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: Apigenin is a main bioactive flavonoid in Scutellaria barbata D. Don. The USC-CO2 procedure was superior to the other extraction techniques due to its higher yield and efficiency. Theoretical solubility of apigenin was accurately fitted using three density-based models. A second-order kinetics model accurately fit the USC-CO2 processing. Enthalpy, entropy and Gibbs free energy of activation for apigenin were estimated. Abstract: This study compared the use of ultrasound-assisted supercritical CO2 (USC-CO2 ) extraction to obtain apigenin-rich extracts from Scutellaria barbata D. Don with that of conventional supercritical CO2 (SC-CO2 ) extraction and heat-reflux extraction (HRE), conducted in parallel. This green procedure yielded 20.1% and 31.6% more apigenin than conventional SC-CO2 extraction and HRE, respectively. Moreover, the extraction time required by the USC-CO2 procedure, which used milder conditions, was approximately 1.9 times and 2.4 times shorter than that required by conventional SC-CO2 extraction and HRE, respectively. Furthermore, the theoretical solubility of apigenin in the supercritical fluid system was obtained from the USC-CO2 dynamic extraction curves and was in good agreement with the calculated values for the three empirical density-based models. The second-order kinetics model was further applied to evaluate the kinetics of USC-CO2 extraction. The results demonstrated that the selected model allowed the evaluation of the extraction rate and extent of USC-CO2 extraction.