Chip-based nanoflow high performance liquid chromatography coupled to mass spectrometry for profiling of soybean flavonoids

In this work a chip‐based nano HPLC coupled MS (HPLC‐chip/MS) method with a simple sample preparation procedure was developed for the flavonoid profiling of soybean. The analytical properties of the method including the linearity (R2, 0.992–0.995), reproducibility (RSD, 1.50–7.66%), intraday precisi...

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Published inElectrophoresis Vol. 33; no. 15; pp. 2399 - 2406
Main Authors Chang, Yuwei, Zhao, Chunxia, Wu, Zeming, Zhou, Jia, Zhao, Sumin, Lu, Xin, Xu, Guowang
Format Journal Article
LanguageEnglish
Published Germany Blackwell Publishing Ltd 01.08.2012
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Summary:In this work a chip‐based nano HPLC coupled MS (HPLC‐chip/MS) method with a simple sample preparation procedure was developed for the flavonoid profiling of soybean. The analytical properties of the method including the linearity (R2, 0.992–0.995), reproducibility (RSD, 1.50–7.66%), intraday precision (RSD, 1.41–5.14%) and interday precision (RSD, 2.76–16.90%) were satisfactory. Compared with the conventional HPLC/MS method, a fast extraction and analysis procedure was applied and more flavonoids were detected in a single run. Additionally, 13 flavonoids in soybean seed were identified for the first time. The method was then applied to the profiling of six varieties of soybean sowed at the same place. A clear discrimination was observed among different cultivars, three isoflavones, accounting for nearly 80% of total flavonoid contents, were found increased in the spring soybeans compared with the summer cultivars.
Bibliography:ArticleID:ELPS4308
National Grand Project of Science and Technology - No. 2011ZX08012-002
National Natural Science Foundation of China - No. 20835006; No. 21075122
ark:/67375/WNG-T3NNDFR1-N
creative research group project - No. 21021004
istex:0E22AED21A733F49682016FE2516A971E135C54B
Additional corresponding author: Dr. Chunxia Zhao E‐mail
See the article online to view Figs. 1 and 3 in colour.
zhaocx@dicp.ac.cn
Colour Online
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0173-0835
1522-2683
DOI:10.1002/elps.201100581