摘要
目的运用植物代谢组学方法对一年、二年和三年生长时期的丹皮提取液进行分析,评价丹皮的品质。方法高效液相色谱-四级杆飞行时间质谱(HPLC/Q-TOF-MS)技术与代谢组学方法相结合用于寻找丹皮中与生长时期相关的代谢物。结果根据准分子离子和二级质谱信息共归属了丹皮中的46种代谢物,主成分分析结果表明不同生长期的丹皮存在明显差异,发现了与生长时期相关的13种重要代谢物。一年生长期丹皮中苹果酸和没食子酸的量较高,表明丹皮在生长初期需要大量的能量物质以及合成复杂次生代谢物的原料;在二年和三年生长期丹皮中,丹皮酚以及一类结构相似的单萜苷类活性成分的含量不断增加,由此推断三年生长期内,丹皮的生长期越长其品质越好。结论本研究为不同生长时期丹皮的品质评价提供依据,而且证实基于HPLC-MS技术的代谢组学方法是一种有效的中药品质评价方法。
Objective To evaluate the quality of Moutan Cortex at different growth stages. Methods Metabonomics based on high performance liquid chromatography-quadrupole time-of-flight mass spectrometry(HPLC/Q-TOF-MS) was applied to find the variation of different growth stages. Results Forty-six metabolites were identified by MS molecular ions and major fragments in conjugation with literature data. The results of principal component analysis showed that the constituent of Moutan Cortex at three growth stages were obviously different. The levels of 13 metabolites were related to the growth time of Moutan Cortex. One-year-old Moutan Cortex contained higher levels of malic acid and gallic acid, suggesting the requirement of sufficient materials for growth and synthesis of complicated secondary metabolites at the first stage. However, in two- and three-years-old Moutan Cortex the levels of some important active compounds such as paeonol and monoterpene glucosides increased. It could be deduced that within three years grouth, good quality of Moutan Cortex was associated with the longer growth time. Conclusion These results provide the evidence for the quality evaluation of Moutan Cortex at different growth stages, and demonstrate that metabonomics is a powerful approach for the quality evaluation of traditional Chinese malera medica.
出处
《中草药》
CAS
CSCD
北大核心
2014年第20期2987-2992,共6页
Chinese Traditional and Herbal Drugs
基金
国家自然科学基金资助项目(21005062)
高等学校博士学科点专项科研基金(20106101120024)
陕西省教育厅专项科研计划项目(12JK1011)
陕西省重点科技创新团队项目(2013KCT-24)
关键词
丹皮
高效液相色谱-四级杆飞行时间质谱
代谢组学
品质评价
苹果酸
没食子酸
Moutan Cortex
high performance liquid chromatography-quadrupole time-of-flight mass spectrometry
metabonomics
quality evaluation
malic acid
gallic acid