Optimization of a Green Ultrasound-Assisted Extraction of Different Polyphenols from Pistacia lentiscus L. Leaves Using a Response Surface Methodology

利用响应面法优化绿色超声辅助提取乳香黄连木叶片中不同多酚的工艺

阅读:1

Abstract

Pistacia lentiscus leaves are used in several applications, thanks to their polyphenolic abundance. Thiswork aimed to characterize the polyphenols and to optimize the extraction conditions to shorten the time, decrease the consumption of solvent, and to maximize the yield of different classes of phenolics, which have diverse industrial applications. The variables were optimized by applying a Box-Behnken design. Galloyl and myricetin derivatives were the most abundant compounds, and two new tetragalloyl derivatives were identified by LC-MS/MS. According to the models, the maximum yields of polyphenols (51.3 ± 1.8 mg g(-1) DW) and tannins (40.2 ± 1.4 mg g(-1) DW) were obtained using 0.12 L g(-1) of 40% ethanol at 50 °C. The highest content of flavonoids (10.2 ± 0.8 mg g(-1) DW) was obtained using 0.13 L g(-1) of 50% ethanol at 50 °C, while 0.1 L g(-1) of 30% ethanol at 30 °C resulted in higher amounts of myricitrin (2.6 ± 0.19 mg g(-1) DW). Our optimized extraction decreased the ethanolic fraction by 25% and halved the time compared to other methods. These conditions can be applied differently to obtain P. lentiscus extracts richer in tannins or flavonoids, which might be employed for various purposes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。