首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Precision-characterization and quantitative determination of main compounds in Si-Ni-San with UHPLC-MS/MS based targeted-profiling method
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Precision-characterization and quantitative determination of main compounds in Si-Ni-San with UHPLC-MS/MS based targeted-profiling method

机译:基于UHPLC-MS / MS的靶向分析法,Si-Ni-SAN中主要化合物的精确表征和定量测定

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摘要

Mass spectrometry based precision identification of natural products requires the validation of the reference compounds. This study attempted to develop a LC-QTOF MS combined with LC-TQ MS method to precisely characterize the chemicals of Si-Ni-San (SNS), a classic traditional Chinese medicine formula, which is composed of four medicinal plants, and widely used for the treatments of liver disorders. 74 compounds in SNS were provisionally identified by acquiring MS spectra and MS/MS spectra of the possible chemical features, as well as retrieving small-molecule database. By comparing with the accurate MS/MS spectra of reference compounds, 37 compounds in SNS were precisely identified for the first time. In addition, our effort also successfully assigned the origin of each identified compounds against four medicinal plants. Furthermore, we developed a UHPLC-TQ MS based quantitative-profiling method for simultaneous determination of 37 targeted compounds in the different extracts of the raw SNS and commercial lyophilized powders, enabling to facilitate overall quality control of SNS and associated commercial products. Collectively, our finding precisely characterized the main chemicals in SNS, which also provides a new strategy with LC-MS/MS based chemical profiling to precisely identify a diversity of chemicals in Chinese medicinal plants and associated formulae. (C) 2020 Elsevier B.V. All rights reserved.
机译:基于质谱的天然产物精密鉴定需要对参考化合物进行验证。本研究试图建立一种LC-QTOF MS结合LC-TQ MS的方法来精确表征四逆散(SNS)的化学成分。四逆散是一种传统中药配方,由四种药用植物组成,广泛用于治疗肝脏疾病。通过获取可能的化学特征的MS光谱和MS/MS光谱,以及检索小分子数据库,暂时鉴定了SNS中的74种化合物。通过与参考化合物的准确MS/MS光谱进行比较,首次准确鉴定了SNS中的37个化合物。此外,我们的工作还成功地针对四种药用植物确定了每种已鉴定化合物的来源。此外,我们开发了一种基于UHPLC-TQ MS的定量分析方法,用于同时测定原始SNS和商业冻干粉末不同提取物中的37种目标化合物,从而促进SNS和相关商业产品的整体质量控制。总的来说,我们的发现准确地描述了SNS中的主要化学物质,这也为基于LC-MS/MS的化学分析提供了一种新的策略,以精确识别中药材和相关配方中的多种化学物质。(C) 2020爱思唯尔B.V.版权所有。

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