Subject Area物理化学
Comparison of one-dimensional and two-dimensional LC-MS methods for metabonomics
Xu GW(许国旺); Chen J(陈静); Zhao XJ(赵欣捷); Yin PY(尹沛源); Yang Q(杨芹); Lu X(路鑫)
Conference Namethe 13th Beijing Conference and Exhibition on Instrumental Analysis
Conference Date2009-11-25
Conference Place中国
Funding Organization中国分析测试协会
AbstractD11 COMPARISON OF ONE-DIMENSIONAL AND TWO-DIMENSIONAL LC-MS METHODS FOR METABONOMICS Guowang XU , Jing CHEN, Xinjie ZHAO, Peiyuan YIN, Qin YANG, Xianzhe SHI, Xin LU Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 16023 Dalian, China Metabonomics approaches aim to compare the pattern of global endogenous metabolites under defined temporal conditions as comprehensive as possible. As a powerful tool in systems biology, recently, metabonomics has been applied in drug discovery/development, disease biomarker discovery as well as plant and microbiology fields. Technologies currently in use for metabonomic analysis include NMR, chromatography and mass spectrometry (MS), each of which has significant limitations in quantification, scope, and/or throughput. HPLC-MS including ultra high performance liquid chromatography is getting more and more acceptance because of its special advantages. In a typical metabonomics sample, there possibly are thousands of metabolites with different polarity and wide range concentration distrubution, peak capacity of one dimensional (1D) chromatography is not enough. In the meantime RP-LC and HILIC are only suitabe to the separation of hydrophobic and hydrophilic metabolites, respectively. All of those make comprehansive metabolite separation not possible by using 1D LC-MS although on the second dimension mass spectrometer can be used to resolve the fragment ions with different m/z. Theoretically, the peak capacity can be greatly improved by using a two dimensional (2D) chromatography consisting of two columns with different selectivity, the peak capacity and separation window can be significantly increased and extended. In this report, we shall present our recent results on comparing the applications of the 1D and 2D HPLC-MS methods in drug mechanism investigation, potential biomarker discovery and disease differentiation. We shall show 2D-LC coupled with mass spectromety will have a very bright future in metabonomics field. RELATED REFERENCES 1. Peiyuan Yin, Dafang Wan, Chunxia Zhao, Jing Chen, Xinjie Zhao, Wenzhao Wang, Xin Lu, Shengli Yang, Jianren Gu* and Guowang Xu* (2009) A metabonomic study of hepatitis B-induced liver cirrhosis and hepatocellular carcinoma by using RP-LC and HILIC coupled with mass spectrometry, Mol. BioSyst., 2009, 5, 868 – 876 2. Jing Chen, Wenzhao Wang, Shen Lv, Peiyuan Yin, Xinjie Zhao, Xin Lu, Fengxia Zhang, Guowang Xu* (2009) Metabonomics study of liver cancer based on ultra performance liquid chromatography coupled to mass spectrometry with HILIC and RPLC separations, Anal. Chim. Acta, 650 , 3–9 3. Yuan Wang, Xin Lu and Guowang Xu* (2008) Development of a comprehensive two-dimensional hydrophilic interaction chromatography/quadrupole time-of-flight mass spectrometry system and its application in separation and identification of saponins from Quillaja saponaria, J. Chromatogr. A, 1181: 51–59 4. Yuan Wang, Xin Lu, Guowang Xu* (2008) Simultaneous separation of hydrophilic and hydrophobic compounds by using an on-line HILIC-RPLC system with two detectors, J. Sep. Sci., 31:1564-1572 5. Yuan Wang, Jiangshan Wang, Ming Yao, Xinjie Zhao, Jens Fritsche, Philippe Schmitt-Kopplin, Zongwei Cai, Dafang Wan, Xin Lu, Shengli Yang, Jianren Gu, Hans Ulrich Häring, Erwin D. Schleicher, Rainer Lehmann and Guowang Xu (2008) Metabonomics Study on the Effects of the Ginsenoside Rg3 in a β-Cyclodextrin-Based Formulation on Tumor-Bearing Rats by a Fully Automatic Hydrophilic Interaction/Reversed-Phase Column-Switching HPLC−ESI-MS Approach, Anal. Chem. 80, 4680–4688
Document Type会议论文
Corresponding AuthorXu GW(许国旺)
Recommended Citation
GB/T 7714
Xu GW,Chen J,Zhao XJ,et al. Comparison of one-dimensional and two-dimensional LC-MS methods for metabonomics[C],2009:398/2.
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