利用超高效液相色谱-飞行时间质谱联用技术（UPLC-TOFMS）和化学计量学数据分析对当归生长过程中的代谢指纹图谱进行研究。
Metabolic fingerprinting of Angelica sinensis during growth using UPLC-TOFMS and chemometrics data analysis.
作者信息
Qian Yiyun, Wang Yali, Sa Rina, Yan Hui, Pan Xinbo, Yang Yingwen, Sun Yujing
机构信息
Key Laboratory of Dunhuang Medicine and Transformation, Ministry of Education, Research Institute of Angelica sinensis, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.
出版信息
Chem Cent J. 2013 Mar 1;7(1):42. doi: 10.1186/1752-153X-7-42.
BACKGROUND
The radix of Angelica sinensis is widely used as a medicinal herbal and metabolomics research of this plant during growth is necessary.
RESULTS
Principal component analysis of the UPLC-QTOFMS data showed that these 27 samples could be separated into 4 different groups. The chemical markers accounting for these separations were identified from the PCA loadings plot. These markers were further verified by accurate mass tandem mass and retention times of available reference standards. The study has shown that accumulation of secondary metabolites of Angelica sinensis is closely related to the growth periods.
CONCLUSIONS
The UPLC-QTOFMS based metabolomics approach has great potential for analysis of the alterations of secondary metabolites of Angelica sinensis during growth.
背景
当归作为一种药用植物被广泛使用，对该植物生长过程进行代谢组学研究很有必要。
结果
超高效液相色谱-四极杆飞行时间质谱（UPLC-QTOFMS）数据的主成分分析表明，这27个样品可分为4个不同的组。从主成分分析载荷图中鉴定出导致这些分离的化学标志物。通过精确质量串联质谱和可用参考标准品的保留时间进一步验证了这些标志物。研究表明，当归次生代谢产物的积累与生长时期密切相关。
结论
基于UPLC-QTOFMS的代谢组学方法在分析当归生长过程中次生代谢产物的变化方面具有巨大潜力。
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