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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Integrated strategy for identifying minor components in complex samples combining mass defect, diagnostic ions and neutral loss information based on ultra-performance liquid chromatography-high resolution mass spectrometry platform: Folium Artemisiae Argyi as a case study
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Integrated strategy for identifying minor components in complex samples combining mass defect, diagnostic ions and neutral loss information based on ultra-performance liquid chromatography-high resolution mass spectrometry platform: Folium Artemisiae Argyi as a case study

机译:基于超性能液相色谱 - 高分辨率质谱平台的大规模缺陷,诊断离子和中性损失信息识别复杂样品中的次要组分的综合策略:叶蒿属Argyi作为案例研究

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摘要

Ultra-performance liquid chromatography coupled to high-resolution mass spectrometry (UPLC-HRMS) has been used as a powerful tool to profile chemicals in traditional Chinese medicines. However, identification of potentially bioactive compounds is still a challenging work because of the large amount of information contained in the raw UPLC-HRMS data. Especially the ubiquitous matrix interference makes it more difficult to characterize the minor components. Therefore, rapid recognition and efficient extraction of the corresponding parent ions is critically important for identifying the attractive compounds in complex samples. Herein, we propose an integrated filtering strategy to remove un-related or interference MS1 ions from the raw UPLC-HRMS data, which helps to retain the MS features of the target components and expose the compounds of interest as effective as possible. The proposed strategy is based on the use of a combination of different filtering methods, including nitrogen rule, mass defect, and neutral loss/diagnostic fragment ions filtering. The strategy was validated by rapid screening and identification of 16 methoxylated flavonoids and 55 chlorogenic acids analogues from the raw UPLC-HRMS dataset of Folium Artemisiae Argyi. Particularly, successful detection of several minor components indicated that the integrated strategy has obvious advantages over individual filtering methods, and it can be used as a promising method for screening and identifying compounds from complex samples, such as herbal medicines. (C) 2018 Elsevier B.V. All rights reserved.
机译:耦合到高分辨率质谱(UPLC-HRMS)的超高性能液相色谱已被用作传统中药中化学品的强大工具。然而,由于原始UPLC-HRMS数据中包含的许多信息,识别潜在的生物活性化合物仍然是一个具有挑战性的工作。特别是普遍存在的矩阵干扰使得次要组件更加困难。因此,对相应的父子离子的快速识别和有效提取对于鉴定复杂样品中的有吸引力的化合物是至关重要的。在此,我们提出了一种集成的滤波策略,以从原始UPLC-HRMS数据移除未涉及的或干扰MS1离子,这有助于保留目标组分的MS特征,并使感兴趣的化合物如尽可能有效。所提出的策略基于使用不同过滤方法的组合,包括氮规则,质量缺损和中性损失/诊断片段离子过滤。通过快速筛选和鉴定16个甲氧基化黄酮和55个甲氧基的黄酮和55种葡萄球菌Argyi的RavC-Hrms Dataset的甲氧化黄酮和55个绿原酸类似物验证。特别地,成功地检测几个次要的组件表明,综合策略对单个过滤方法具有明显的优势,并且可以用作筛选和鉴定来自复杂样品的化合物的有希望的方法,例如草药。 (c)2018年elestvier b.v.保留所有权利。

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