Several classical Chinese herbal materials (CHMs) were extracted using continuous supercritical fluid extraction (CSFE), a newly developed technology to further elevate the efficiency of traditional batch supercritical fluid extraction (SFE). A mathematical model was established to describe CSFE process and predict the optimal switching times. The results showed that the total extraction times of Ganoderma lucidum spores (S-GL), Juglans regia seeds, Zingiber officinale rhizoma and Citrus reticulata pericarp by CSFE were 55.2%, 40.3%, 55.5% and 36.0% lower than those by batch SFE, respectively. Furthermore, mathematical predictions could further help to improve the extraction efficiency and make full utilization of CHMs. When using the calculated optimal switching times, the total extraction rate of CSFE kept constant at the maximum value. Qualities of CHMs extracts had no significant difference between batch SFE and CSFE. The mathematical model of CSFE can be used to guide the extraction of active ingredients from CHMs.

使用连续超临界流体萃取 (CSFE) 提取了几种经典中草药 (CHM)，这是一种新开发的技术，可进一步提高传统间歇式超临界流体萃取 (SFE) 的效率。建立了描述CSFE过程并预测最佳切换时间的数学模型。结果表明，灵芝孢子（S- GL）、胡桃种子、姜和柑橘的总提取次数CSFE 的果皮比批次 SFE 分别低 55.2%、40.3%、55.5% 和 36.0%。此外，数学预测可以进一步帮助提高提取效率并充分利用 CHM。当使用计算出的最佳切换时间时，CSFE 的总提取率保持在最大值。CHMs 提取物的质量在批次 SFE 和 CSFE 之间没有显着差异。CSFE 的数学模型可用于指导从 CHM 中提取活性成分。