IF 3.1 3区 医学 Q2 CHEMISTRY, ANALYTICAL Journal of pharmaceutical and biomedical analysis Pub Date : 2025-02-21 DOI:10.1016/j.jpba.2025.116758
Zhi-Jiang Chen , Wei Guan , Yan-Ying Li , Yu-Qing Wang , Peng Jiang , Yan Sun , Zhi-Chao Hao , Qing-Shan Chen , Li-Li Zhang , Shu Liu , Hai-Xue Kuang , Si-Tong Liu , Yao-Xin Sui , Bing-You Yang , Yan Liu
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摘要

本研究旨在采用一种全面的数据筛选策略来鉴定 Saposhnikovia divaricata(SD)中存在的色酮和香豆素。首先,利用五点质量缺陷过滤器(MDF)方法筛选了色酮和香豆素各自的三个亚类MS1。与传统的 MDF 方法相比,干扰峰的数量从 3462 个减少到 1053 个,减少了 69.58%。然后,利用诊断性碎片离子过滤(DFIF)筛选MDF方法筛选出的产物离子,根据各亚类的碎片规则筛选是否符合条件。最后对SD中的94个化合物进行了鉴定,包括40个色酮类化合物和54个香豆素类化合物,其中82个色酮类化合物和香豆素类化合物是结合上述两种方法鉴定的,12个香豆素类化合物是结合MDF和参考文献鉴定的,它们被归类为其他香豆素类化合物。首次从 SD 中鉴定出 21 个化合物,3 个色酮和 7 个香豆素为未知化合物。通过对来自12个不同地区的SD样本进行非靶向代谢组学分析,发现不同地区的SD样本存在显著差异,并区分出20种差异代谢物,包括13种色酮类化合物和7种香豆素类化合物。该研究首次建立了一种结合 MDF、DFIF 和非靶向代谢组学的综合策略来评价 SD 质量。结果表明,该方法是一种高效、准确且有前景的方法,可用于复杂天然产物系统中化合物的分类和探索,为评估不同来源的标本质量提供了依据。
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An integrated analysis strategy for characterization of chromones and coumarins from Saposhnikovia divaricata (Turcz.) Schischk. by UHPLC-QTOF-MS
This study aimed to employ a comprehensive data screening strategy to identify the chromones and coumarins present in Saposhnikovia divaricata (SD). Initially, the five-point mass defect filter (MDF) method was utilized to screen the respective three subclasses of chromones and coumarins for MS1. In comparison to the traditional MDF method, the number of interference peaks was reduced from 3462 to 1053, representing a decrease of 69.58 %. Then, diagnostic fragment ion filtering (DFIF) was used to screen product ions selected by MDF method, which was based on the fragmentation rules of each subclass to screen whether it met the conditions. Finally, we characterized 94 compounds from SD, including 40 chromones and 54 coumarins, among them, 82 chromones and coumarins were identified by combining the above two methods, 12 coumarins were identified by combining MDF and references, they were classified into other coumarins. Twenty one compounds were identified for the first time from SD, and 3 chromones and 7 coumarins were unknown compounds. Through untargeted metabolomics analysis of SD samples from 12 different regions, significant differences were found in SD samples from different areas, and 20 differential metabolites were distinguished, including 13 chromones and 7 coumarins. This study established for the first time a comprehensive strategy combining MDF, DFIF, and untargeted metabolomics to evaluate SD quality. The results indicated that this method is an efficient, accurate, and promising approach for classifying and exploring compounds in complex natural product systems, providing a basis for evaluating the quality of SD from different sources.
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来源期刊
CiteScore
6.70
自引率
5.90%
发文量
588
审稿时长
37 days
期刊介绍: This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome. Studies from areas of well established and poorly selective methods, such as UV-VIS spectrophotometry (including derivative and multi-wavelength measurements), basic electroanalytical (potentiometric, polarographic and voltammetric) methods, fluorimetry, flow-injection analysis, etc. are accepted for publication in exceptional cases only, if a unique and substantial advantage over presently known systems is demonstrated. The same applies to the assay of simple drug formulations by any kind of methods and the determination of drugs in biological samples based merely on spiked samples. Drug purity/stability studies should contain information on the structure elucidation of the impurities/degradants.
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