Determination of Veratrum alkaloid contents in three Veratrum species by HPLC-MS/MS.

IF 3 3区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Phytochemical Analysis Pub Date : 2024-10-01 Epub Date: 2024-06-11 DOI:10.1002/pca.3401

Julia Siegle, Jörg Pietsch

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引用次数: 0

Abstract

Introduction: Veratrum alkaloids have gained attention due to their toxic effects and potential pharmaceutical applications, particularly in cancer and cardiology. Over 200 alkaloids are found in species of the Veratrum genus. The alkaloid composition and concentrations can greatly vary in plants depending on factors like species, plant part, location, season, weather, or nutrients.

Objective: This study aims an analytical approach to analyze and quantify Veratrum alkaloids in different plant parts of Veratrum species. The purpose is to contribute essential alkaloid concentration data for future research on the pharmacological and toxicological aspects of Veratrum alkaloids.

Methods: This study focuses on five Veratrum alkaloids (cevadine, jervine, protoveratrine A, veratramine, and veratridine) in three Veratrum species (Veratrum album L., Veratrum californicum Durand, and Veratrum nigrum L.) collected from four German botanical gardens (Dresden, Leipzig, Marburg, and Schellerhau). A liquid-liquid extraction method and a sensitive high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS) method operating in multiple reaction monitoring (MRM) mode were applied for the alkaloid determination.

Results: Quantification revealed varying alkaloid concentrations among plant parts and Veratrum species in the μg/g to mg/g range. Protoveratrine A exhibited the highest content, while veratramine concentrations were generally lower. Especially in fruit, roots and rootstock of Veratrum album L. alkaloid concentrations were significant high.

Conclusion: The developed HPLC-MS/MS method successfully determined Veratrum alkaloid concentrations in plant samples. The study contributes valuable data on Veratrum alkaloid distribution in different species and plant parts, crucial for understanding their potential medicinal and toxicological significance.

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用 HPLC-MS/MS 测定三个马鞭草品种中的马鞭草生物碱含量。

简介：马鞭草生物碱因其毒性作用和潜在的药物应用而备受关注，尤其是在癌症和心脏病学方面。在马鞭草属的物种中发现了 200 多种生物碱。植物中的生物碱成分和浓度会因物种、植物部位、地点、季节、天气或养分等因素的不同而有很大差异：本研究旨在采用分析方法，对马鞭草属植物不同部位中的马鞭草生物碱进行分析和定量。目的是为今后研究马鞭草生物碱的药理和毒理方面提供必要的生物碱浓度数据：本研究重点研究了从德国四个植物园（德累斯顿、莱比锡、马尔堡和谢勒豪）采集的三种马鞭草（Veratrum album L.、Veratrum californicum Durand 和 Veratrum nigrum L.）中的五种马鞭草生物碱（cevadine、jervine、protoveratrine A、veratramine 和 veratridine）。采用液液萃取法和灵敏的高效液相色谱-串联质谱法（HPLC-MS/MS）以多反应监测（MRM）模式测定生物碱：定量分析显示，不同植物部位和马鞭草品种的生物碱浓度在微克/克至毫克/克范围内各不相同。原藜芦碱 A 的含量最高，而藜芦碱的含量普遍较低。特别是在马鞭草的果实、根和根茎中，生物碱的浓度非常高：结论：所开发的 HPLC-MS/MS 方法成功地测定了植物样品中的马鞭草生物碱浓度。这项研究为了解马鞭草生物碱在不同物种和植物部位中的分布情况提供了宝贵的数据，对了解其潜在的药用和毒理意义至关重要。

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来源期刊

Phytochemical Analysis 生物-分析化学

CiteScore

6.00

自引率

6.10%

发文量

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.