超临界二氧化碳
萃取(化学)
没食子酸表没食子酸酯
超临界流体
没食子酸
超临界流体萃取
色谱法
材料科学
化学
多酚
核化学
有机化学
抗氧化剂
作者
S.M. Ghoreishi,Elham Heidari
标识
DOI:10.1016/j.supflu.2012.07.015
摘要
In this study, modeling of epigallocatechin gallate (EGCG) extraction from green tea via supercritical carbon dioxide with ethanol as an entrainer was developed. The modeling is based on the differential mass balance between the solid and supercritical (SC) phases. The model was solved numerically and was successfully validated with experimental data. The effects of main extraction variables such as pressure, temperature, CO2 flow rate and dynamic time were investigated on the extraction recovery via the validated model. In addition, effective extraction variables were optimized with genetic algorithm in order to achieve maximum extraction recovery. The optimal values were obtained to be 19.79 MPa, 41.2 °C, 1.7 mL/min and 116.3 min (dynamic extraction time) to achieve 0.447 as the EGCG extraction recovery.
科研通智能强力驱动
Strongly Powered by AbleSci AI