色谱 ›› 2019, Vol. 37 ›› Issue (6): 589-596.DOI: 10.3724/SP.J.1123.2018.12011

• 研究论文 • 上一篇    下一篇

基于液相色谱-高分辨质谱的代谢组学技术用于麦卢卡蜂蜜的甄别

严丽娟1, 徐敦明1, 薛晓锋2, 林立毅1, 赖康3, 王建文3, 张志刚1   

  1. 1. 厦门海关检验检疫技术中心, 福建 厦门 361026;
    2. 中国农业科学院蜜蜂研究所, 北京 100093;
    3. 四川省蜂业管理站, 四川 成都 610042
  • 收稿日期:2018-12-06 出版日期:2019-06-08 发布日期:2015-04-17
  • 通讯作者: 徐敦明,Tel:(0592)7250900,E-mail:Dunmingxu@163.com.
  • 基金资助:

    国家重点研发计划项目(2017YFC1601600);福建省自然科学基金(2016J01071);厦门市科技惠民项目(3502Z20174043);福建省社会发展引导性(重点)项目(2017Y0077);原质检总局科技项目(2016IK184).

Authenticity identification of manuka honey using liquid chromatography-high resolution mass spectrometry based metabolomic technique

YAN Lijuan1, XU Dunming1, XUE Xiaofeng2, LIN Liyi1, LAI Kang3, WANG Jianwen3, ZHANG Zhigang1   

  1. 1. Inspection and Quarantine Technology Center, Xiamen Customs, Xiamen 361026, China;
    2. Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China;
    3. Sichuan Province Apiculture Management Station, Chengdu 610042, China
  • Received:2018-12-06 Online:2019-06-08 Published:2015-04-17
  • Supported by:

    National Key Research and Development Program of China (No. 2017YFC1601600); Natural Science Foundation of Fujian Province (No. 2016J01071); Science and Technology People-Benefit Project of Xiamen (No. 3502Z20174043); Social Development Guided Key Project of Fujian Province (No. 2017Y0077); Former General Administration of Quality Supervision, Inspection and Quarantine Project (No. 2016IK184).

摘要:

采用基于液相色谱-高分辨质谱的代谢组学技术对麦卢卡蜂蜜以及国内主要蜂蜜品种的代谢谱进行全面分析,实现了麦卢卡蜂蜜与其他蜂蜜的区分,建立了偏最小二乘法判别模型,对测试样品能够取得很好的鉴定效果。实验从麦卢卡蜂蜜中筛选出高度表达的3-苯乳酸、甲氧基苯乙酮、二氢麻醉椒苦素、芹菜素等黄酮和肉桂酸类等34种代谢标志物,所构建的标志物组合模型的受试者工作特征曲线下的面积达到了0.99。该文建立的代谢组学方法为麦卢卡蜂蜜的质量控制提供了新的思路。

关键词: 代谢组学, 高分辨质谱, 麦卢卡蜂蜜, 液相色谱

Abstract:

A liquid chromatography-high resolution mass spectrometry (LC-HRMS) based metabolomic approach for the discrimination of manuka honey from the domestic honey was developed. The results of multivariate data analysis showed significant discrimination of manuka honey from domestic honey. Furthermore, a partial least squares discrimination model was established for honey discrimination, enabling the correct identification of unknown testing samples. A total of 34 highly expressed metabolic markers were obtained from the developed discrimination model, including 3-phenyllactic acid and 4-hydroxybenzoic acid which had both been previously identified as manuka honey markers. The area under the curve of the constructed marker combination reached 0.99. The developed metabolomic approach provides a new method for the quality control of manuka honey.

Key words: high resolution mass spectrometry (HRMS), liquid chromatography (LC), manuka honey, metabolomics

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