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富含半胱氨酸的肽指纹图谱作为一种区分黄芪和红芪的通用草药分析方法。

Cysteine-Rich Peptide Fingerprinting as a General Method for Herbal Analysis to Differentiate Radix Astragali and Radix Hedysarum.

作者信息

Huang Jiayi, Wong Ka H, Tay Stephanie V, How Adrian, Tam James P

机构信息

School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.

出版信息

Front Plant Sci. 2019 Jul 31;10:973. doi: 10.3389/fpls.2019.00973. eCollection 2019.

Abstract

Species misidentification and adulteration are major concerns in authenticating herbal medicines. Radix Astragali (RA), the roots of , is a traditional herbal medicine used for treating diabetes. However, it is often substituted by Radix Hedysarum (RH), the roots of from the same plant family Fabaceae, which possesses different bioactivities. Current authentication methods, focusing on the chemical composition differences of herbal medicines based on small molecules, have limitations when these chemical markers are found in many species. Herein, we describe a rapid and general method using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), coupled with multivariate analyses to differentiate herbal medicines. We used cysteine-rich peptide (CRP) fingerprinting, a method that exploits an underexplored chemical space between 2 to 6 kDa and which is populated by highly stable CRPs. To show the generality of the method, we screened 100 medicinal plant extracts and showed that CRP fingerprints are unique chemical markers. In addition, CRP fingerprinting was many-fold faster than the conventional authentication method using ultra-performance liquid chromatography (UPLC). Multivariate analyses showed that it has comparable classification accuracy as UPLC fingerprinting. Together, our findings revealed that CRP fingerprinting coupled with multivariate analyses is a rapid and general method for authentication and quality control for natural products in medicinal plants.

摘要

物种误认和掺假是中药材鉴定中的主要问题。黄芪(RA),即[植物名称]的根,是一种用于治疗糖尿病的传统草药。然而,它经常被同属豆科植物的红芪(RH)的根所替代,红芪具有不同的生物活性。目前的鉴定方法主要基于小分子关注中药材的化学成分差异,当这些化学标志物存在于许多物种中时,这些方法存在局限性。在此,我们描述了一种快速通用的方法,即使用基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS),结合多变量分析来区分中药材。我们使用了富含半胱氨酸的肽(CRP)指纹图谱法,该方法利用了2至6 kDa之间尚未充分探索的化学空间,其中充满了高度稳定的CRP。为了证明该方法的通用性,我们筛选了100种药用植物提取物,结果表明CRP指纹图谱是独特的化学标志物。此外,CRP指纹图谱法比使用超高效液相色谱(UPLC)的传统鉴定方法快很多倍。多变量分析表明,它具有与UPLC指纹图谱相当的分类准确性。总之,我们的研究结果表明,CRP指纹图谱法结合多变量分析是一种用于药用植物天然产物鉴定和质量控制的快速通用方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ef/6684776/7c55c801ef53/fpls-10-00973-g009.jpg

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