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LC/MS based tools and strategies on qualitative and quantitative analysis of herbal components in complex matrixes

机译:基于LC / MS的工具和策略,用于复杂基质中草药成分的定性和定量分析

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Accompanying with hot discussions on developing multi-target drugs for the therapy of multi-gene diseases, herbal medicines are receiving more and more attention worldwide in both academic and industrial fields. Pharmacokinetic and metabolic research is one of the important issues for intensive understanding of therapeutic benefits/risks of herbal medicines. The qualitative and quantitative analysis of herbal medicines, which is a prerequisite for pharmacokinetic and metabolic evaluations, remains a great challenge because of the intrinsic complexity of herbal medicines. This paper provides a review on the recent development of qualitative and quantitative methodologies on herbal medicines analysis. Powerful hybrid mass spectrometric tools such as Q-TOF and IT-TOF are highly useful for both the qualitative and quantitative analysis of complicated components. In the past decade, some universal useful strategies to the qualitative and quantitative analysis and pharmacokinetic assessment of complicated herbal components have been also proposed. Nonetheless, it is urgent to develop additional strategies to resolve the critical challenges underlying herbal analyses, such as the lack of authentic compounds, the difficulties in information processing, and the elimination of complex matrixes interferences.
机译:伴随着关于开发用于治疗多基因疾病的多靶点药物的热烈讨论,草药在学术和工业领域都在全球范围内受到越来越多的关注。药代动力学和代谢研究是深入了解草药的治疗益处/风险的重要问题之一。草药的定性和定量分析是药代动力学和代谢评估的先决条件,但由于草药固有的复杂性,它仍然是一个巨大的挑战。本文概述了草药分析中定性和定量方法的最新发展。强大的混合质谱分析工具,例如Q-TOF和IT-TOF,对于复杂组件的定性和定量分析都非常有用。在过去的十年中,还提出了一些通用的对复杂草药成分进行定性和定量分析以及药代动力学评估的有用策略。但是,迫切需要开发其他策略来解决草药分析所面临的关键挑战,例如缺乏可靠的化合物,信息处理方面的困难以及消除复杂基质干扰。

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