同轴油-聚合物-盐三液相离心萃取天然产物有效成分平台。

IF 2.6 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Aoli Ye, Yue Xiong, Ranran Ma, Xinyi Yang, Peng-Bo Duan, Anqi Wu, E-Hu Liu, Dong Liu, Deli Xiao
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引用次数: 0

摘要

简介:侧柏(Platycladus orientalis, L.)佛朗哥是中国特有的树种,栽培历史悠久,药用价值多样。它的干树枝和叶子,被称为扁桃(PC),含有生物活性化合物。然而,传统的提取方法,如浸出或蒸汽蒸馏,往往与试剂、时间和能量的高消耗有关。目的:将“油-聚合物-盐”三液相体系(OPS-TLPS)与同轴液体离心技术相结合,建立高效、环保的黄酮类化合物提取工艺。材料和方法:采用磷酸二(2-乙基己基)(D2EHPA)、聚乙二醇(PEG)和柠檬酸钠构建OPs-TLPS。在研究过程中,通过改变盐和油相试剂的成相物质筛选了稳定的OPs-TLPS,并考察了三相质量分数和反应条件对PC有效成分提取的影响。结果:d2ehpa - peg -柠檬酸钠体系具有较高的黄酮类化合物提取效率和稳定性。D2EHPA浓度、PEG和柠檬酸钠质量分数、pH和离心时间等关键因素对产率影响显著。提取2h后,超过50%的黄酮类化合物成功分离到油相和聚乙二醇相。OPS-TLPS与同轴离心的集成显著减少了有机溶剂的使用,提高了提取效率,为分离天然产物提供了一种更自动化、更环保的替代方法。结论:该方法为提取侧柏黄酮提供了一种新颖、可持续、高效的方法,在天然产物的提取中具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coaxial Oil-Polymer-Salt Three-Liquid-Phase Centrifugal Platform for the Extraction of the Active Ingredients From the Natural Products.

Introduction: Platycladus orientalis (L.) Franco is a unique tree species in China with a long cultivation history and diverse medicinal values. Its dried branches and leaves, called Platycladi Cacumen (PC), contain bioactive compounds. However, conventional extraction methods such as leaching or steam distillation are often associated with high consumption of reagents, time, and energy.

Objectives: This study aims to develop an efficient and environmentally friendly approach for extracting flavonoids from PC by integrating the "oil-polymer-salt" three-liquid-phase system (OPS-TLPS) with coaxial liquid centrifugal technology.

Material and methods: The OPs-TLPS was constructed using di(2-ethylhexyl) phosphate (D2EHPA), polyethylene glycol (PEG), and sodium citrate. During the study, a stable OPs-TLPS was screened by varying the phase-forming substances of the salts and oil-phase reagents, and the effects of three-phase mass fraction and reaction conditions on the extraction of active components from PC were investigated.

Results: The D2EHPA-PEG-sodium citrate system demonstrated high stability and efficiency for flavonoid extraction. Key factors, such as D2EHPA concentration, mass fractions of PEG and sodium citrate, pH, and centrifugal time, significantly influenced yield. After 2 h of extraction, over 50% of flavonoids were successfully partitioned into the oil and PEG phases. The integration of OPS-TLPS with coaxial centrifugation notably reduced organic solvent usage and improved extraction efficiency, offering a more automated and greener alternative to conventional techniques for isolating natural products.

Conclusion: This method provides a novel, sustainable, and efficient strategy for extracting flavonoids from Platycladi Cacumen, with potential applications in natural product extraction.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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