Suppr超能文献

从 L. 花中探索黄酮类化合物和酯化三萜类化合物的顺序选择性超临界流体萃取(SFE)。

Exploring the Sequential-Selective Supercritical Fluid Extraction (SFE) of Flavonoids and Esterified Triterpenoids from L. Flowers.

机构信息

Institute of Organic and Analytical Chemistry (ICOA), University of Orléans, CNRS UMR 7311, 45100 Orléans, France.

出版信息

Molecules. 2023 Oct 12;28(20):7060. doi: 10.3390/molecules28207060.

Abstract

One of the many advantages of supercritical fluid extraction (SFE) is the possibility of using it in sequential and selective approaches. This is due to the use of a dynamic extraction mode in addition to the possibility of altering the composition of the modifier during the extraction process. In this study, the optimization of L. extraction of non-polar and polar compounds was achieved using three-level Box-Behnken designs (BBD). For non-polar compounds, the factors were pressure, temperature, and EtOH percentage. As for the polar compounds, the three variables were temperature, the total modifier percentage, and HO added in the modifier as an additive. The recovery of selectively rich extracts in triterpendiol esters and narcissin was possible using a sequential two-step SFE. The first step was performed at 80 °C and 15% EtOH, and the second at 40 °C and 30% EtOH:HO 80:20 with a total of 60 min of extraction. Additionally, the SFE extraction of non-polar compounds was scaled up on a pilot-scale extractor, demonstrating similar results. Finally, the SFE results were compared to ultrasound-assisted extraction (UAE).

摘要

超临界流体萃取 (SFE) 的众多优点之一是可以采用顺序和选择性方法。这是因为除了在萃取过程中改变改性剂的组成之外,还可以采用动态萃取模式。在这项研究中,使用三水平 Box-Behnken 设计 (BBD) 优化了 L 的非极性和极性化合物的提取。对于非极性化合物,因素是压力、温度和乙醇百分比。对于极性化合物,三个变量是温度、总改性剂百分比和添加剂 HO 添加到改性剂中。通过顺序两步 SFE 可以选择性地获得富含三萜二醇酯和水仙苷的提取物。第一步在 80°C 和 15%乙醇下进行,第二步在 40°C 和 30%乙醇:HO 80:20 下进行,总萃取时间为 60 分钟。此外,在中试规模萃取器上放大了非极性化合物的 SFE 提取,结果相似。最后,将 SFE 结果与超声辅助提取 (UAE) 进行了比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/068b/10609265/87f12dd96597/molecules-28-07060-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验