摘要
本研究选自云南昌源2017年、2018年、2019年的普洱茶作为样本,采用超高效液相色谱-高分辨质谱联用技术,对不同年份普洱茶的主要化学成分进行了研究分析,发现不同年份普洱茶的化学成分在含量上具有较大差异。采用主成分分析(Principal component analysis,PCA),可以对来自不同年份的普洱茶进行有效区分,结合组学分析(Compound Discoverer,CD)软件筛选出在不同年份普洱茶中含量具有显著差异的5个标志物并对其进行了结构鉴定,采用Origin软件进行差别分析,建立了最大化地凸显不同组别之间的差异模型。试验结果表明,模型通过对已知样本的预判测试,显示出所建立模型能很好地区分三组不同年份的普洱茶。
The main chemical components of the Pu-erh tea from Changyuan County of Yunnan Province in 2017, 2018 and 2019 were analyzed by ultra performance liquid chromatography(UHPLC)-high resolution mass spectrometry(HRMS). The chemical components of the Pu-erh tea from different years are significantly different. Pu-erh tea from different years(2017, 2018 and 2019) could be separated by principal component analysis(PCA). Five markers with significant difference in content Pu-erh tea of different years were screened out and their structures were identified by Compound Discoverer(CD) software. The anticipation model of different groups was established by discriminant analysis of the Origin software. The results show that the model can be used to distinguish three groups of Pu-erh tea of different years.
作者
李云飞
王英
陶蕾
LI Yun-Fei;WANG Ying;TAO Lei(Kunming Customs Technical Centre,Kunming 650228)
出处
《中国口岸科学技术》
2020年第12期26-32,共7页
China Port Science and Technology
基金
海关总署科研项目(2017IK045)。
