Accurate mass-time tag library for LC/MS-based metabolite profiling of medicinal plants.

Accurate mass-time tag library for LC/MS-based metabolite profiling of medicinal plants.
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DOI:
10.1016/j.phytochem.2013.02.018
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发表时间:
2013-07
期刊:
影响因子:
3.8
通讯作者:
Lange BM
Lange BM
中科院分区:
生物学2区
文献类型:
--
作者:
Cuthbertson DJ;Johnson SR;Piljac-Žegarac J;Kappel J;Schäfer S;Wüst M;Ketchum RE;Croteau RB;Marques JV;Davin LB;Lewis NG;Rolf M;Kutchan TM;Soejarto DD;Lange BM

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我们报道了一种准确的质量时间(AMT)标记方法的开发和测试,用于基于LC/MS的复杂提取物中植物天然产物(PNPs)的鉴定。开发了一个AMT标签库,其中包括大约500个具有不同化学结构的PNPs,这些PNPs在电喷雾和常压化学电离模式(正极性和负极性)下被检测到。此外,为了使峰的注解具有较高的置信度,用三种不同的裂解能获得了MS/MS谱图。LC/MS和MS/MS数据集被整合到在线光谱搜索工具和储存库(Spektraris和MassBank)中,从而使用户能够询问他们自己的数据集是否可能存在PNPs。AMT标签库方法的实用性通过对27种不同化学成分的不同药用植物的有效成分的检测和注释来证明。
We report the development and testing of an accurate mass – time (AMT) tag approach for the LC/MS-based identification of plant natural products (PNPs) in complex extracts. An AMT tag library was developed for approximately 500 PNPs with diverse chemical structures, detected in electrospray and atmospheric pressure chemical ionization modes (both positive and negative polarities). In addition, to enable peak annotations with high confidence, MS/MS spectra were acquired with three different fragmentation energies. The LC/MS and MS/MS data sets were integrated into online spectral search tools and repositories (Spektraris and MassBank), thus allowing users to interrogate their own data sets for the potential presence of PNPs. The utility of the AMT tag library approach is demonstrated by the detection and annotation of active principles in 27 different medicinal plant species with diverse chemical constituents.
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