Quality Consistency Monitoring of Alkaloids of Sophora flavescens by Tandem High-Performance Liquid Chromatography Fingerprinting and Linear Quantitative Profiling Method.

IF 2.6 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Zhifei Hou, Yongzhen Chang, Jing Zhang, Yan Li, Guoxiang Sun
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引用次数: 0

Abstract

Introduction: The drug "alkaloids of Sophora flavescens" (ASF) is an extract from the dried root of S. flavescens Ai. It has various pharmacological effects including anti-arrhythmia, anti-inflammatory, anti-allergic, anti-hepatitis, and antimicrobial. As there are many alkaloids with similar structure and properties, the constituent complexity brings a huge challenge in the quality control of ASF.

Objective: To develop new tandem high-performance liquid chromatography (HPLC) fingerprinting methods for the quality control of alkaloids of S. flavescens.

Methods: ASF samples were tested based on hydrophilic chromatography and ion suppression chromatographic separation mechanisms, separately. Then, the fingerprints of the two separation mechanisms were established and processed by the computer-aided tandem signal method and tandem data method, respectively. The linear quantitative profiling method was used for both qualitative and quantitative evaluation.

Results: The results of the tandem signal method and the tandem data method were accurate and consistent. The tandem signal fingerprint can reveal the inherent characteristics of traditional medicinal materials, and it is better than single fingerprints in terms of signal intensity, separation degree, homogeneity, and information abundance. The tandem data method can rapidly realize the comprehensive quality evaluation of the HPLC fingerprints under different separation mechanisms.

Conclusion: These tandem methods overcome experimental compatibility problems and the limitation of the low information content of the single separation mechanism fingerprints and can reveal the distribution and characteristics of the complex chemical components of traditional medicinal materials in a novel, realistic, and holistic way.

串联高效液相色谱指纹图谱和线性定量分析法监测苦参生物碱的质量一致性。
药物“苦参生物碱”(ASF)是从苦参干根中提取的提取物。具有抗心律失常、抗炎、抗过敏、抗肝炎、抗菌等药理作用。由于多种生物碱具有相似的结构和性质,其组成的复杂性给ASF的质量控制带来了巨大的挑战。目的:建立串联高效液相色谱(HPLC)指纹图谱方法,用于黄参生物碱的质量控制。方法:分别采用亲水性色谱法和离子抑制色谱法对ASF样品进行分离。然后,分别采用计算机辅助串列信号法和串列数据法对两种分离机构的指纹图谱进行了建立和处理。采用线性定量分析方法进行定性和定量评价。结果:串联信号法和串联数据法测定结果准确一致。串联信号指纹图谱能够揭示传统药材的固有特征,在信号强度、分离度、均匀性和信息丰度等方面都优于单一指纹图谱。串联数据法可以快速实现不同分离机制下HPLC指纹图谱的综合质量评价。结论:这些串联方法克服了实验相容性问题和单一分离机制指纹图谱信息含量低的局限,能够以新颖、真实、全面的方式揭示传统药材复杂化学成分的分布和特征。
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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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