Simultaneous separation and determination of seven biphenyl cyclooctene lignans in Schisandra chinensis and its preparations by micellar electrokinetic chromatography with dual organic solvent system.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-07-01 Epub Date: 2024-04-01 DOI:10.1002/pca.3349
Meiyi Wang, Junzhao Ren, Guangbin Zhang, Hongfen Zhang, Ruimiao Chang, Haixia Yu, Anjia Chen
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Abstract

Introduction: Gomisin is a natural dibenzo cyclooctene lignan, which is mainly derived from the family Magnoliaceae. It has anti-inflammatory, antioxidant, anti-tumor, anti-aging, and hypoglycemic effects. Gomisins play important roles as medicines, nutraceuticals, food additives, and cosmetics.

Objective: The objective of this study is to establish a micellar electrokinetic chromatography (MEKC) method for simultaneous separation and determination of seven biphenyl cyclooctene lignans (Gomisin D, E, G, H, J, N, and O) in Schisandra chinensis and its preparations.

Methods: The method was optimized by studying the effects of the main parameters on the separation. The method has been validated and successfully applied to the determination of seven Gomisins in S. chinensis and its preparations.

Results: In the separation system, the running buffer was composed of 20 mM Na2HPO4, 8.0 mM sodium dodecyl sulfate (SDS), 11% (v/v) methanol, and 6.0% (v/v) ethanol. A diode array detector was used with a detection wavelength of 230 nm, a separation voltage of 17 kV, and an operating temperature of 25°C. Under this condition, the seven analytes were separated at baseline within 20 min, and a good linear relationship was obtained with correlation coefficient ranging from 0.9919 to 0.9992. The limit of detection (LOD, S/N = 3) and the limit of quantification (LOQ, S/N = 10) ranged from 0.8 to 0.9 μg/mL and from 2.6 to 3.0 μg/mL, respectively. The recovery rate was between 99.1% and 102.5%.

Conclusion: The experimental results indicated that this method is suitable for the separation and determination of seven Schisandra biphenyl cyclooctene lignan compounds in real samples. At the same time, it provides an effective reference for the quality control of S. chinensis and its preparations.

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双有机溶剂系统胶束电动色谱法同时分离和测定五味子及其制剂中的七种联苯环辛烯木脂素。
简介木犀草素是一种天然二苯并环辛烯木脂素,主要来源于木兰科植物。它具有抗炎、抗氧化、抗肿瘤、抗衰老和降血糖等作用。五味子苷作为药物、营养保健品、食品添加剂和化妆品发挥着重要作用:本研究旨在建立一种胶束电动色谱(MEKC)方法,用于同时分离和测定五味子及其制剂中的七种联苯环辛烯木脂素(五味子素 D、E、G、H、J、N 和 O):通过研究主要参数对分离的影响,对该方法进行了优化。方法:通过研究主要参数对分离的影响,对该方法进行了优化,并将其成功应用于五味子及其制剂中七种五味子苷的测定:在分离系统中,缓冲液为20 mM Na2HPO4、8.0 mM十二烷基硫酸钠(SDS)、11%(v/v)甲醇和6.0%(v/v)乙醇。二极管阵列检测器的检测波长为 230 nm,分离电压为 17 kV,工作温度为 25°C。在此条件下,七种分析物在 20 分钟内实现基线分离,线性关系良好,相关系数为 0.9919 至 0.9992。检出限(LOD,S/N = 3)和定量限(LOQ,S/N = 10)分别为 0.8 至 0.9 μg/mL 和 2.6 至 3.0 μg/mL。回收率为 99.1%至 102.5%:实验结果表明该方法适用于实际样品中7种五味子联苯环辛烯木质素化合物的分离测定。实验结果表明该方法适用于实际样品中七种五味子联苯环辛烯木质素化合物的分离和测定,同时为五味子及其制剂的质量控制提供了有效的参考依据。
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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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