用多元方法评估不同收获期白术的生物活性化合物

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of Chromatography B Pub Date : 2024-09-04 DOI:10.1016/j.jchromb.2024.124298
Xiaokang Liu , Liwen Liang , Guangzhi Cai , Yunlong Guo , Jiyu Gong
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引用次数: 0

摘要

背景白术(Atractylodes chinensis (DC.) Koidz)是一种中草药,具有多种治疗功效,被广泛用于制药业。其质量与采收期密切相关。方法采用超高效液相色谱-四极杆 Orbitrap 质谱(UHPLC-Q-Orbitrap/MS)代谢组学方法检测多年生秦艽的生物活性化合物,并通过多元统计分析筛选出差异丰度化合物。然后,分析了不同时期采收的样品中差异化合物含量的变化,并对差异化合物进行了相关性分析,以确定不同成分的合适采收期。结果表明,不同采收期盐肤木的化学成分有显著差异。4 年和 5 年样本的挥发油含量相对较高,分别为 31.92 毫克/克和 32.42 毫克/克。六种有效成分的含量也存在明显差异,例如,五年树龄的样本白术素含量最高(4.38 毫克/克)。事实上,收获期与大多数生物活性化合物的含量有关。具体来说,五年期样本与有机酸和脂肪族化合物的含量呈显著负相关,而与其他生物活性化合物的含量呈中度正相关。有机酸的最佳收获期约为 2-3 年。综上所述,这些结果为生产者优化白术收获期提供了宝贵的启示。
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Multivariate approach to assess the bioactive compounds of Atractylodes chinensis (DC.) Koidz in different harvest periods

Background

The Atractylodes chinensis (DC.) Koidz (A. chinensis) Chinese herb possesses numerous therapeutic properties and is extensively utilized in the pharmaceutical industry. Its quality is closely associated with the harvest periods. However, the optimal quality and harvest periods of A. chinensis remain elusive.

Methods

The bioactive compounds of perennial A. chinensis were detected by ultra-high-performance liquid chromatography coupled with quadrupole Orbitrap mass spectrometry (UHPLC-Q-Orbitrap/MS) metabolomics, and differentially abundant compounds were selected by multivariate statistical analysis. Then, variations in the content of differential compounds in samples harvested at different periods were analyzed, while correlation analysis was carried out on the differential compounds to determine the suitable harvest period for distinct components.

Results

A total of 61 bioactive compounds were detected in all samples, grouped into 9 known classes. The results revealed that the chemical compositions of A. chinensis at different harvest periods were significantly different. The volatile oil content in the four-year-old and five-year-old samples was relatively high, at 31.92 mg/g and 32.42 mg/g, respectively. There were also significant differences in the content of the six active ingredients, for example, the five-year-old sample had the highest content of atractylodin (4.38 mg/g). Indeed, the harvest period was correlated with the abundance of most bioactive compounds. Specifically, quinquennial samples were significantly negatively correlated with the abundance of organic acids and aliphatics while moderately positively correlated with the abundance of other classes of bioactive compounds.

Conclusions

According to the results, the ideal harvest time for atractylenolide Ⅲ was 3 years. Regarding organic acids, the optimal harvest time was around 2–3 years. Taken together, these results offer valuable insights to producers for optimizing the harvest period for A. chinensis.

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来源期刊
Journal of Chromatography B
Journal of Chromatography B 医学-分析化学
CiteScore
5.60
自引率
3.30%
发文量
306
审稿时长
44 days
期刊介绍: The Journal of Chromatography B publishes papers on developments in separation science relevant to biology and biomedical research including both fundamental advances and applications. Analytical techniques which may be considered include the various facets of chromatography, electrophoresis and related methods, affinity and immunoaffinity-based methodologies, hyphenated and other multi-dimensional techniques, and microanalytical approaches. The journal also considers articles reporting developments in sample preparation, detection techniques including mass spectrometry, and data handling and analysis. Developments related to preparative separations for the isolation and purification of components of biological systems may be published, including chromatographic and electrophoretic methods, affinity separations, field flow fractionation and other preparative approaches. Applications to the analysis of biological systems and samples will be considered when the analytical science contains a significant element of novelty, e.g. a new approach to the separation of a compound, novel combination of analytical techniques, or significantly improved analytical performance.
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