Centella asiatica (L.) Urb.和 Hydrocotyle umbellata L.的鉴定和质量评估:方法比较。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-08-01 Epub Date: 2024-05-15 DOI:10.1002/pca.3371
Benjaporn Noppradit, Lompong Klinnawee, Charan Leeratiwong, Rachanida Praparatana, Panupong Puttarak
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引用次数: 0

摘要

引言积雪草是伞形科的一个重要属。其中的积雪草具有重要的食用和药用价值。然而,由于其形态特征与伞形积雪草(Hydrocotyle umbellata)相似,该物种很容易被混淆,从而阻碍了其在消费和制药行业中的应用:本研究旨在使用可靠的方法区分这两种密切相关的植物物种,以确认天然草药的真实性:方法:我们的工作主要集中在基本形态特征、化学标记、遗传指纹及其生物反应上:结果:根据植物的叶形、托叶、叶柄、花序和果实结构,可以清楚地区分这些植物。虽然茜草提取物的植物化学成分与伞形花序提取物相似,其中包括黄酮类、鞣质和皂苷,这些成分对植物消炎和促进伤口愈合的能力非常重要,但伞形花序提取物的毒性明显高于茜草。高效液相色谱分析用于鉴定化学指纹。结果表明,白花蛇舌草的主要三萜苷成分包括白花蛇舌草苷、白花蛇舌草酸、白花蛇舌草苷和白花蛇舌草酸,这些成分具有广泛的药用价值。相比之下,在伞形科植物中没有发现三萜类皂甙。此外,使用 SCoT1-6 引物可以有效、充分地绘制树枝图,成功地确定了植物的亲缘关系,并确认了两种植物之间的差异:因此,可以通过结合形态计量学、分子生物活性和化学分析来实现区分。
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Centella asiatica (L.) Urb. and Hydrocotyle umbellata L. identification and quality assessment: A methodology comparison.

Introduction: Centella is an important genus in the Apiaceae family. It includes Centella asiatica, which has significant edible and medicinal values. However, this species is easily confused due to its similar morphological traits to Hydrocotyle umbellata, hindering its utilization in the consumer and pharmacological industries.

Objective: The study aims to differentiate these two closely related plant species using reliable methods of confirming the authenticity of natural herbal medicines.

Methods: Our work mainly focuses on the basic morphological characteristics, chemical markers, genetic fingerprints, and their biological responses.

Results: The plants can be clearly differentiated using their leaf shapes, stipules, petioles, inflorescences, and fruit structures. Although the phytochemical compositions of the C. asiatica extract were similar to that of H. umbellata which included flavonoids, tannins, and saponins important to the plant's ability to reduce inflammation and promote healing of wounds, the H. umbellata extract showed significantly higher toxicity than that of C. asiatica. High-performance liquid chromatography analysis was used to identify chemical fingerprints. The result revealed that C. asiatica had major triterpene glycoside constituents including asiaticoside, asiatic acid, madecassoside, and madecassic acid, which have a wide range of medicinal values. In contrast, triterpenoid saponins were not identified in H. umbellata. Furthermore, using SCoT1-6 primers was possible to effectively and sufficiently created a dendrogram which successfully identified the closeness of the plants and confirmed the differences between the two plant species.

Conclusion: Therefore, differentiation can be achieved through the combination of morphometrics, molecular bioactivity, and chemical analysis.

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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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