Large-scale pressurized liquid extraction (PLE) data are scarce in literature, exposing the lack of information to support industrial projects. In this study, using Sida rhombifolia, the Sovová's model, developed for supercritical fluid extraction (SFE), was applied to describe PLE process, demonstrating good representation of experimental PLE data. A computational code, MatLab Simulation Extraction Models (MSEM), developed for SFE, was adapted to represent PLE mass transfer phenomena, and was able to adequately represent PLE in small and large scales. The performance was evaluated by process yield and extract quality (total phenolic content and antioxidant activity), and the results compared to Soxhlet method. The scale-up criteria consisted of constant geometric and mass transfer parameters between scales, provided statistically equivalent data. The results suggest a large-scale industrial application of a low environmental impact method, with reduced costs and high recovery of bio-based extracts, for application as ingredient for food, medicine or packaging material.

文献中缺乏大规模的加压液体萃取（PLE）数据，这暴露了缺乏支持工业项目的信息。在这项研究中，使用Sida rhombifolia，为超临界流体萃取（SFE）开发的Sovová模型用于描述PLE过程，证明了实验PLE数据的良好表示。为SFE开发的计算代码MatLab仿真提取模型（MSEM）适于表示PLE传质现象，并且能够以小规模和大规模充分表示PLE。通过工艺收率和提取物质量（总酚含量和抗氧化活性）评估性能，并将结果与​​索氏萃取法进行比较。放大标准由刻度之间的恒定几何和传质参数组成，提供统计上等效的数据。结果表明，低环境影响方法的大规模工业应用具有降低的成本和生物基提取物的高回收率，