Łukasiewicz Research Network-New Chemical Syntheses Institute, Al. Tysiąclecia Państwa Polskiego 13A, 24-110 Puławy, Poland.
Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, Gagarina 7, 87-100 Toruń, Poland.
Molecules. 2021 May 18;26(10):2994. doi: 10.3390/molecules26102994.
The aim of this research was to provide crucial and useful data about the selection of the optimization criteria of supercritical carbon dioxide extraction of alfalfa at a quarter-technical plant. The correlation between more general output, including total phenolics and flavonoids content, and a more specified composition of polar constituents was extensively studied. In all alfalfa extracts, polar bioactive constituents were analyzed by both spectrometric (general output) and chromatographic (detailed output) analyses. Eight specific phenolic acids and nine flavonoids were determined. The most dominant were salicylic acid (221.41 µg g), ferulic acid (119.73 µg g), quercetin (2.23 µg g), and apigenin (2.60 µg g). For all seventeen analyzed compounds, response surface methodology and analysis of variance were used to provide the optimal conditions of supercritical fluid extraction for each individual constituent. The obtained data have shown that eight of those compounds have a similar range of optimal process parameters, being significantly analogous for optimization based on total flavonoid content.
本研究旨在为 quarter-technical 工厂规模的苜蓿草超临界二氧化碳萃取优化条件选择提供重要且有用的数据。本研究广泛研究了更一般的输出（包括总酚类和类黄酮含量）与更具体的极性成分组成之间的相关性。在所有苜蓿草提取物中，极性生物活性成分均通过光谱（一般输出）和色谱（详细输出）分析进行分析。测定了八种特定的酚酸和九种类黄酮。含量最高的是水杨酸（221.41µg/g）、阿魏酸（119.73µg/g）、槲皮素（2.23µg/g）和芹菜素（2.60µg/g）。对于所有十七种分析化合物，响应面法和方差分析用于为每种单体成分的超临界流体萃取提供最佳条件。所得数据表明，其中八种化合物具有相似的最佳工艺参数范围，基于总类黄酮含量的优化非常相似。
