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化学衍生化技术在靶向代谢组学LC-MS中的应用与进展

张玺恩, 王笛, 许风国

张玺恩, 王笛, 许风国. 化学衍生化技术在靶向代谢组学LC-MS中的应用与进展[J]. 中国药科大学学报, 2021, 52(1): 31-37. DOI: 10.11665/j.issn.1000-5048.20210104
引用本文: 张玺恩, 王笛, 许风国. 化学衍生化技术在靶向代谢组学LC-MS中的应用与进展[J]. 中国药科大学学报, 2021, 52(1): 31-37. DOI: 10.11665/j.issn.1000-5048.20210104
ZHANG Xien, WANG Di, XU Fengguo. Applications and progress of chemical derivatization in targeted metabolomics LC-MS analysis[J]. Journal of China Pharmaceutical University, 2021, 52(1): 31-37. DOI: 10.11665/j.issn.1000-5048.20210104
Citation: ZHANG Xien, WANG Di, XU Fengguo. Applications and progress of chemical derivatization in targeted metabolomics LC-MS analysis[J]. Journal of China Pharmaceutical University, 2021, 52(1): 31-37. DOI: 10.11665/j.issn.1000-5048.20210104

化学衍生化技术在靶向代谢组学LC-MS中的应用与进展

基金项目: 国家自然科学基金资助项目(No.82073812,No.81773682,No.81773861);江苏省杰出青年基金资助项目(No.BK20180027)

Applications and progress of chemical derivatization in targeted metabolomics LC-MS analysis

Funds: This study was supported by the National Natural Science Foundation of China (No.82073812, No.81773682, No.81773861) and the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province(No.BK20180027)
  • 摘要: 体内代谢物轮廓变化与外界刺激密切相关,代谢物的浓度可以直接反映生物体生理或病理状态。LC-MS是内源性代谢物定量测定的主要分析方法,但由于检测偏向性问题,该方法存在分析覆盖面窄、灵敏度较低等不足。近年来,化学衍生化技术与LC-MS的整合应用发展迅速,与氨基、羟基、羧基、羰基、巯基等基团靶向反应的各类衍生化试剂已被广泛应用于代谢组学研究。本文根据代谢物基团分类介绍了各种衍生化反应及其在代谢组学分析中的应用,综述了多基团衍生化方法的特点,并对衍生化分析方法的应用前景和挑战进行了展望。
    Abstract: The changes of metabolic profile are closely related to external stimulus, and the concentration of the metabolite can directly reflect the physiological or pathological states of organisms. Therefore, the quantitative detection of metabolites is necessary. However, traditional targeted metabolomic methods have such drawbacks as narrow coverage and low sensitivity. In recent years, derivatization techniques have developed rapidly in the field of metabolomics. Derivatization reagents for amine, hydroxyl, carboxyl, carbonyl, hydrosulphonyl and other groups have been used in metabolomics research. This paper introduces various derivatization reactions and their applications according to group classification and reviewes the characteristics of multi-group derivatization techniques, with a propect of their research directions and challenges.
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出版历程
  • 收稿日期:  2020-07-25
  • 修回日期:  2020-09-21
  • 刊出日期:  2021-02-24

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