Experimental design approach for the quantitative analysis of multicomponents by single marker and HPLC fingerprinting of Thunbergia laurifolia aqueous extract.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-08-01 Epub Date: 2024-05-12 DOI:10.1002/pca.3378
Thanapat Onsawang, Chaweewan Suwanvecho, Pongtip Sithisarn, Chutima Phechkrajang, Piyanuch Rojsanga
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Abstract

Introduction: Thunbergia laurifolia is used in traditional Thai medicine to reduce fever and treat mouth ulcers. However, the quantitative analysis of chemical markers has not yet been officially defined.

Objective: The objective of this study is to develop a high-performance liquid chromatography (HPLC) method using a design of experiment (DoE) for the quantitative analysis of multicomponents by single marker (QAMS) and fingerprinting of the T. laurifolia aqueous extract.

Materials and methods: Critical variables were screened using a two-level fractional factorial design, followed by the optimization of the selected variables using a central composite design. The validated method was applied for quality assessment based on QAMS and fingerprinting of the extract.

Results: Optimum conditions of DoE for the analysis of caffeic acid, vicenin-2, and rosmarinic acid were determined. The relative correction factors for caffeic acid and vicenin-2 were calculated using rosmarinic acid as an internal reference standard, and their contents in 30 samples were determined. The differences between the external standard method (ESM) and QAMS were compared. No significant difference was observed in the quantitative determination, proving the consistency QAMS and ESM. HPLC fingerprints of T. laurifolia were established with 8 of 12 characteristic peaks that were structurally characterized using HPLC-diode array detection-electrospray ionization/tandem mass spectrometry. The similarity of the fingerprints in all samples was ≥0.74, and the pattern recognition of the characteristic peaks was satisfied.

Conclusion: The proposed method efficiently detected multiple components of the T. laurifolia extract. Thus, the method is beneficial in providing references for enhancing the quality control of other herbal medicines.

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通过单一标记和高效液相色谱指纹图谱对月桂叶水提取物的多成分进行定量分析的实验设计方法。
介绍:在泰国传统医学中,月见草被用来退烧和治疗口腔溃疡。然而,化学标记的定量分析尚未正式确定:本研究的目的是采用实验设计法(DoE)开发一种高效液相色谱法(HPLC),用于通过单一标记物(QAMS)对多成分进行定量分析,并对月桂叶水提取物进行指纹图谱分析:使用两级分数因子设计筛选关键变量,然后使用中心复合设计优化所选变量。在 QAMS 和提取物指纹图谱的基础上,采用经过验证的方法进行质量评估:结果:确定了分析咖啡酸、麦角苷-2 和迷迭香酸的最佳 DoE 条件。以迷迭香酸为内参照标准,计算了咖啡酸和麦角苷-2 的相对校正因子,并测定了它们在 30 个样品中的含量。比较了外标法(ESM)和 QAMS 之间的差异。定量测定结果无明显差异,证明 QAMS 与 ESM 具有一致性。利用高效液相色谱-二极管阵列检测-电喷雾离子化/串联质谱法对 12 个特征峰中的 8 个进行了结构表征,建立了 T. laurifolia 的高效液相色谱指纹图谱。所有样品的指纹图谱相似度≥0.74,特征峰的模式识别满足要求:结论:所提出的方法能有效地检测出月桂叶提取物中的多种成分。结论:所提出的方法能有效地检测出月桂叶提取物中的多种成分,从而为加强其他中药材的质量控制提供了参考。
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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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