Suppr超能文献

一种用于草药多组分定量导向质量评估的完整解决方案,以沉香为例。

A full solution for multi-component quantification-oriented quality assessment of herbal medicines, Chinese agarwood as a case.

机构信息

Modern Research Center for Traditional Chinese Medicine, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, People's Republic of China.

Modern Research Center for Traditional Chinese Medicine, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, People's Republic of China.

出版信息

J Chromatogr A. 2018 Jul 13;1558:37-49. doi: 10.1016/j.chroma.2018.05.018. Epub 2018 May 9.

Abstract

The quality of herbal medicines (HMs) is the prerequisite for their pronounced therapeutic outcomes in clinic, and multi-component (also known as quality markers, Q-markers) quantification has been widely emphasized as a viable means for quality evaluation. Because of the chemical diversity, the quality control practices are extensively dampened by four principal technical bottlenecks, including the lack of authentic compounds, large polarity span, extensive concentration range, and signal misrecognition for those potential Q-markers. An attempt to promote the potential of LC-MS/MS is made herein to cope with those obstacles and Chinese agarwood was employed as a case study. Firstly, a home-made fraction collector was introduced to automatically fragment the entire extract into a panel of fractions-of-interest. Secondly, quantitative H-NMR was deployed to offset the LC-MS/MS potential towards in-depth chemical profiling each fraction, and those well-defined fractions were then pooled and combined with some accessible authentic compounds to generate the pseudo-mixed standard solution. Thirdly, serial improvements were conducted for LC-MS/MS measurements. Reversed phase LC and hydrophilic interaction LC were serially coupled in respond to the large polarity window, and online parameter optimization, response tailoring, as well as RRCEC (relative response vs. collision energy curve) matching were integrated in MS/MS domain to advance the quantitative confidences. Simultaneous determination was conducted for 26 components, in total, in Chinese agarwood after method validation. In particular, authentic compound-free quantification was achieved for eight 2-(2-phenylethyl)chromone derivatives. Above all, the strategy is a promising solution to completely tackle with the technical barriers toward Q-marker quantification-oriented quality control of Chinese agarwood, as well as other HMs.

摘要

草药(HM)的质量是其在临床中显著疗效的前提,多组分(也称为质量标志物,Q-标志物)定量已被广泛强调是一种可行的质量评价方法。由于化学成分的多样性,质量控制实践受到四个主要技术瓶颈的广泛阻碍,包括缺乏真实化合物、极性跨度大、浓度范围广以及那些潜在 Q-标志物的信号识别错误。本文试图通过液相色谱-串联质谱(LC-MS/MS)来应对这些障碍,并以中国沉香为例进行研究。首先,引入了一种自制的馏分收集器,将整个提取物自动分段成一组感兴趣的馏分。其次,采用定量氢核磁共振(1H-NMR)来弥补 LC-MS/MS 对每个馏分进行深入化学分析的潜力,并对那些定义明确的馏分进行合并,然后与一些可获得的真实化合物混合,生成伪混合标准溶液。第三,对 LC-MS/MS 测量进行了一系列改进。为了应对大极性窗口,反相液相色谱(RP-LC)和亲水相互作用液相色谱(HILIC)依次串联,并在 MS/MS 域中集成了在线参数优化、响应调整以及相对响应与碰撞能量曲线(RRCEC)匹配,以提高定量置信度。在方法验证后,对中国沉香中的 26 种成分进行了同时测定。特别是,实现了对八种 2-(2-苯乙基)色酮衍生物的无真实化合物定量。总之,该策略是一种有前途的解决方案,可以完全解决中国沉香以及其他草药的 Q-标志物定量导向质量控制的技术障碍。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验