采用uhplc - q - extive - orbitrap MS进行异构体分化,提高了丹古拉中达芙妮二萜类化合物的鉴定水平。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-12-19 DOI:10.1002/pca.3491
Kouharu Otsuki, Mi Zhang, Lingjian Tan, Masayoshi Komaki, Akane Shimada, Takashi Kikuchi, Di Zhou, Ning Li, Wei Li
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引用次数: 0

摘要

液相色谱-质谱(LC-MS)增强了复杂植物提取物的快速、准确分析,消除了广泛分离的需要。串联质谱(MS/MS)通过提供详细的结构信息进一步增强了这一过程。然而,由于其微小的光谱和结构差异,区分结构异构体仍然是一个挑战。目的:本研究旨在扩展LC-MS/MS在水蚤二萜类化合物结构鉴定中的适用性,特别是在区分功能异构体方面。方法:采用UHPLC-Q-Exactive-Orbitrap质谱联用仪进行质谱分析,以参比化合物为对照物,采用内源CID模式和HCD模式优化质谱分离条件。然后对丹参花提取物进行定性分析。通过质谱和生成物离子谱的破碎模式分析了所检测到的萘烷二萜类化合物的化学结构。这些鉴定通过分离和与内部的daphnane二萜文库进行比较进一步验证。结果:通过优化质谱条件,特别是在负离子模式下,可以准确区分元花津和尼地特林等结构异构体。质化分析鉴定出28种达芙妮类化合物,包括7种未见报道的化合物。此外,通过对粗二萜馏分的分离,分离得到了一种新的gniditrin几何异构体。结论:本研究表明LC-MS/MS分析方法可以有效区分水蚤烷二萜的功能异构体,从而提高了对植物提取物中水蚤烷的鉴定,并突出了其作为植物化学分析的有力工具的潜力。
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Isomer Differentiation by UHPLC-Q-Exactive-Orbitrap MS led to Enhanced Identification of Daphnane Diterpenoids in Daphne tangutica.

Introduction: Liquid chromatography-mass spectrometry (LC-MS) has enhanced the rapid, accurate analysis of complex plant extracts, eliminating the need for extensive isolation. Tandem mass spectrometry (MS/MS) further enhances this process by providing detailed structural information. However, differentiating structural isomers remains a challenge due to their minor spectral and structural differences.

Objective: This study aimed to extend the applicability of LC-MS/MS for the structural identification of daphnane diterpenoids, with a particular focus on distinguishing functional isomers.

Methods: LC-MS analyses were performed using an UHPLC-Q-Exactive-Orbitrap MS. The MS conditions for distinguishing isomers were optimized using in-source CID and HCD modes with reference compounds. A qualitative analysis was then conducted on the extract of Daphne tangutica. The chemical structures of the detected daphnane diterpenoids were estimated by analyzing the fragmentation patterns in both the mass spectra and product ion spectra. These identifications were further validated by isolation and comparison with an in-house daphnane diterpenoid library.

Results: By optimizing MS conditions, especially in the negative ion mode, it was possible to accurately distinguish structural isomers such as yuanhuajine and gniditrin. Qualitative analysis of D. tangutica identified a total of 28 daphnanes, including seven previously unreported compounds. Furthermore, a novel geometric isomer of gniditrin was isolated by conducting isolation on the crude diterpenoid fraction.

Conclusion: This study demonstrated that LC-MS/MS analysis can effectively distinguish functional isomers of daphnane diterpenoids, thereby enhancing the identification of daphnanes in plant extracts and highlighting its potential as a powerful tool for phytochemical 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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