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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Application of characteristic ion filtering with ultra-high performance liquid chromatography quadrupole time of flight tandem mass spectrometry for rapid detection and identification of chemical profiling in Eucommia ulmoides Oliv
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Application of characteristic ion filtering with ultra-high performance liquid chromatography quadrupole time of flight tandem mass spectrometry for rapid detection and identification of chemical profiling in Eucommia ulmoides Oliv

机译:特性离子过滤在超高效液相色谱法中的应用飞行串联串联光谱法快速检测及鉴定尤克尔莫菊属植物的化学分析

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摘要

Efficient targeted identification of chemical constituents from traditional Chinese medicine is still a major challenge. In this study, we used a characteristic ion filtering strategy to characterize compounds of Eucommia ulmoides Oliv. by ultra high performance liquid chromatography quadrupole time of flight tandem mass spectrometry (UHPLC-ESI-Q-TOF-MS/MS). By using the ion filtering approach, target constituents of Eucommia ulmoides Oliv. were easily tentatively identified from the enormous LC/MS data set. The strategy consisted of the following three steps: 1) To establishing a characteristic ion database by diagnostic product ions or neutral loss fragments; 2) To evaluate the structural information of the compounds by high-resolution diagnostic characteristic ion filtering; 3) To confirm the different classes by chemical profiling according to their MS/MS spectra. In this study, characteristic ions are summarized as five major groups of compounds in Eucommia ulmoides Oliv. In total, 113 compounds were tentatively identified, including 23 potentially novel compounds. The results form a foundation for the quality control and chemical basis of Eucommia ulmoides Oliv. (C) 2018 Elsevier B.V. All rights reserved.
机译:高效的有针对性的中药化学成分的鉴定仍然是一个重大挑战。在这项研究中,我们利用特征离子过滤策略来表征尤伊友核苷酸的化合物。通过超高效液相色谱法串联串联质谱(UHPLC-ESI-Q-TOF-MS / MS)。通过使用离子过滤方法,杜仲菌的靶标成分oliv。容易从巨大的LC / MS数据集识别。该策略由以下三个步骤组成:1)通过诊断产品离子或中性损失碎片建立特征离子数据库; 2)通过高分辨率诊断特征离子过滤来评估化合物的结构信息; 3)通过根据其MS / MS光谱通过化学分析来确认不同的类别。在本研究中,特征离子总结为杜仲核苷酸中的五组化合物。总共判定113种化合物,包括23个潜在的新化合物。结果形成了杜仲核苷酸oliv的质量控制和化学基础。 (c)2018年elestvier b.v.保留所有权利。

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