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

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.

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

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.