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Integrated work-flow for quantitative metabolome profiling of plants, Peucedani Radix as a case
Song, Yuelin1; Song, Qingqing1,2; Liu, Yao1,2; Li, Jun1; Wan, Jian-Bo3; Wang, Yitao3; Jiang, Yong4; Tu, Pengfei1
2017-02-08
Source PublicationANALYTICA CHIMICA ACTA
ISSN0003-2670
Volume953Pages:40-47
Abstract

Universal acquisition of reliable information regarding the qualitative and quantitative properties of complicated matrices is the premise for the success of metabolomics study. Liquid chromatography-mass spectrometry (LC-MS) is now serving as a workhorse for metabolomics; however, LC-MS-based non-targeted metabolomics is suffering from some shortcomings, even some cutting-edge techniques have been introduced. Aiming to tackle, to some extent, the drawbacks of the conventional approaches, such as redundant information, detector saturation, low sensitivity, and inconstant signal number among different runs, herein, a novel and flexible work-flow consisting of three progressive steps was proposed to profile in depth the quantitative metabolome of plants. The roots of Peucedanum praeruptorum Dunn (Peucedani Radix, PR) that are rich in various coumarin isomers, were employed as a case study to verify the applicability. First, offline two dimensional LC-MS was utilized for in-depth detection of metabolites in a pooled PR extract namely universal metabolome standard (UMS). Second, mass fragmentation rules, notably concerning angular-type pyranocoumarins that are the primary chemical homologues in PR, and available databases were integrated for signal assignment and structural annotation. Third, optimum collision energy (OCE) as well as ion transition for multiple monitoring reaction measurement was online optimized with a reference compound-free strategy for each annotated component and large-scale relative quantification of all annotated components was accomplished by plotting calibration curves via serially diluting UMS. It is worthwhile to highlight that the potential of OCE for isomer discrimination was described and the linearity ranges of those primary ingredients were extended by suppressing their responses. The integrated workflow is expected to be qualified as a promising pipeline to clarify the quantitative metabolome of plants because it could not only holistically provide qualitative information, but also straightforwardly generate accurate quantitative dataset. (C) 2016 Elsevier B.V. All rights reserved.

KeywordQuantitative Metabolome Integrated Work-flow Offline Two Dimensional Liquid Chromatography Linear Range Peucedani Radix Isomer
DOIhttp://doi.org/10.1016/j.aca.2016.11.066
URLView the original
Indexed BySCI
Language英语
WOS Research AreaChemistry
WOS SubjectChemistry, Analytical
WOS IDWOS:000393257000005
PublisherELSEVIER SCIENCE BV
The Source to ArticleWOS
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Cited Times [WOS]:13   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Corresponding AuthorJiang, Yong; Tu, Pengfei
Affiliation1.Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
2.School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100102, China
3.State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, 999078, Macao
4.State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China
Recommended Citation
GB/T 7714
Song, Yuelin,Song, Qingqing,Liu, Yao,et al. Integrated work-flow for quantitative metabolome profiling of plants, Peucedani Radix as a case[J]. ANALYTICA CHIMICA ACTA,2017,953:40-47.
APA Song, Yuelin.,Song, Qingqing.,Liu, Yao.,Li, Jun.,Wan, Jian-Bo.,...&Tu, Pengfei.(2017).Integrated work-flow for quantitative metabolome profiling of plants, Peucedani Radix as a case.ANALYTICA CHIMICA ACTA,953,40-47.
MLA Song, Yuelin,et al."Integrated work-flow for quantitative metabolome profiling of plants, Peucedani Radix as a case".ANALYTICA CHIMICA ACTA 953(2017):40-47.
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