研究论文

绿豆(Vigna radiata) 代谢物组成的核磁共振定量分析

  • 吴香玉1 ,
  • 2 ,
  • 李 宁1 ,
  • 2 ,
  • 唐惠儒1*
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  • 1. 中国科学院生物磁共振分析重点实验室,波谱与原子分子物理国家重点实验室,武汉磁共振中心,(中国科学院 武汉物理与数学研究所),湖北 武汉 430071;2. 中国科学院大学,北京 100049]
吴香玉(1985-),女,湖北随州人,博士研究生,分析化学专业. *通讯联系人:唐惠儒,电话:027-87198430,E-mail:huiru.tang@wipm.ac.cn.

收稿日期: 2014-01-08

  修回日期: 2014-11-06

  网络出版日期: 2014-12-05

基金资助

国家自然科学基金资助项目(21175149, 21221064).

Quantitative Analysis of Metabolites in Mungbean (Vigna Radiata) Extracts using NMR Techniques

  • WU Xiang-yu1 ,
  • 2 ,
  • LI Ning1 ,
  • 2 ,
  • TANG Hui-ru1*
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  • 1. CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance (Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences), Wuhan 430071, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China
*Corresponding author:TANG Hui-ru, Tel: +86-27-87198430, E-mail: huiru.tang@wipm.ac.cn.

Received date: 2014-01-08

  Revised date: 2014-11-06

  Online published: 2014-12-05

Supported by

国家自然科学基金资助项目(21175149, 21221064).

摘要

绿豆(Vigna radiata)是重要的经济作物之一,具有抗氧化、抗炎和抗菌作用.然而迄今为止,绿豆代谢物组成信息仍不完善.为了系统地定量研究绿豆代谢物组成,该研究利用DOSY,J-RES,COSY,TOCSY,HSQC,HMBC 和1D 1H NMR 谱图在鄂绿4 号(ElüNo.4)绿豆水相提取物中鉴定和归属了48 种代谢物,确定了绿豆中棉籽糖家族寡糖的构成,并且利用全弛豫谱对其中44 种代谢物进行了定量分析.

本文引用格式

吴香玉1 , 2 , 李 宁1 , 2 , 唐惠儒1* . 绿豆(Vigna radiata) 代谢物组成的核磁共振定量分析[J]. 波谱学杂志, 2014 , 31(4) : 548 -563 . DOI: 10.11938/cjmr20140409

Abstract

Mungbean (Vigna radiata) is an important crop that has various beneficial functions such as antioxidant and anti-inflammatory activities. However, the metabolites in mungbean have only been partially identified and quantified in previous studies. In this study, we systematically identified and assigned 48 metabolites in mungbean (Elü No.4) seeds with J-RES, COSY, TOCSY, HSQC, HMBC and 2D NMR spectra. In particular, the composition of raffinose family oligosaccharides in the extracts was determined using DOSY experiments. Most of the metabolites in the extracts were quantified. This study will provide useful information for mungbean metabolomic and nutritional studies.

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