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桑叶HILIC特征指纹图谱研究

东莎莎 赵恒强 王晓 崔清华 耿岩玲 刘代成 刘建华 王小如

分析测试学报2013,Vol.32Issue(1):106-111,6.
分析测试学报2013,Vol.32Issue(1):106-111,6.DOI:10.3969/j.issn.1004-4957.2013.01.017

桑叶HILIC特征指纹图谱研究

Study on the Hydrophilic Interaction Chromatography Specific Fingerprint of Mulberry leaves

东莎莎 1赵恒强 2王晓 3崔清华 2耿岩玲 4刘代成 2刘建华 1王小如2

作者信息

  • 1. 山东师范大学生命科学学院,山东济南 250014
  • 2. 山东省科学院中药过程控制研究中心,山东省大型精密分析仪器应用技术重点实验室,山东省分析测试中心,山东济南 250014
  • 3. 国家海洋局第一海洋研究所,青岛市现代分析技术及中药标准化重点实验室,山东青岛 266061
  • 4. 山东中医药大学药学院,山东济南 250355
  • 折叠

摘要

Abstract

A hydrophilic interaction chromatography (HILJC) fingerprinting method had been established for the quality evaluation and discrimination of mulberry leaves. The chromatographic fingerprints were determined by injecting 20 μL of the sample solution each time into the hydrophilic interaction chromatography column(XBridge? Amide column) with the gradient elution solvent system composed of water (containing 0. 2% formic acid, 20 mmol/L ammonium formate and 20% methanol) and acetonitrile. The flow rate was 0. 8 mL/min, the column temperature was maintained at 25℃ and the signals were acquired at 322 nm. The result indicated that the developed HILIC method was simple, accurate and reliable for the development of mulberry leaves fingerprint. The HILIC fingerprints for ten samples tested contained the same seventeen peaks and four characteristic peaks. Combining with the similarity analysis, the method could be used to discriminate different origins of mulberry leaf samples. The HILIC fingerprinting technique is expected to become an important tool in the identification and quality evaluation of mulberry leaves.

关键词

桑叶/亲水色谱/指纹图谱

Key words

poly (lactic-co-glycolic-acid)/ polyethyleneglycol/ aptamer/ nanoparticle/ gene vector

分类

化学化工

引用本文复制引用

东莎莎,赵恒强,王晓,崔清华,耿岩玲,刘代成,刘建华,王小如..桑叶HILIC特征指纹图谱研究[J].分析测试学报,2013,32(1):106-111,6.

基金项目

国家重大新药创制(2011ZX09201-201-26) (2011ZX09201-201-26)

山东省科学院科技发展基金项目(2012) (2012)

山东省大型分析仪器升级改造项目(2012SJGZ01) (2012SJGZ01)

山东省科技攻关计划项目(2011GSF11908) (2011GSF11908)

分析测试学报

OA北大核心CSCDCSTPCD

1004-4957

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