Kai-Li Xie, Zhe M A, Mu-Xin Gong, Wen-Jing Gou, Rui H E, Hui-Min Gao, Zhi-Min Wang
School of Traditional Chinese Medicine, Capital Medical University Beijing 100069, China.
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
Zhongguo Zhong Yao Za Zhi. 2020 Oct;45(19):4643-4651. doi: 10.19540/j.cnki.cjcmm.20200725.301.
This study aims to establish an UPLC-DAD method for the simultaneous determination of nine active components in phenolic acids, anthocyanins, monoterpene glucosides and flavonoids in the petals of Paeonia lactiflora flowers from different cultivars and processing methods. UPLC analysis was performed on a Waters ACQUITY UPLC HSS T3 C_(18) column(2.1 mm × 100 mm, 1.8 μm)for gradient elution with a mobile phase consisting of 0.5% formic acid solution(A)-acetonitrile(B)at a flow rate of 0.3 mL·min~(-1).The detection wavelength was determined with a switched wavelength method and the column temperature maintained at 20 ℃, with an injection volume of 2 μL.The contents of the above components in the samples with different sources and treatment methods were obtained. The principal component analysis(PCA)of P. lactiflora flowers was conducted by using SIMCA 14.0 software, and the results showed that the P. lactiflora flowers could be classified into two categories according to cultivars, including P. lactiflora 'Bozhou-shaoyao' as one category with high contents of the above components, P. lactiflora 'Baihuachuanshaoyao' and P. lactiflora 'Honghuachuanshaoyao' as the other category. Dried P. lactiflora flowers could be classified into three categories, including baking-drying, sun-drying and shade-drying, with baking-drying method as the optimal one.The P. lactiflora flowers were not greatly affected by origins, growing altitudes, growing years, or blooming stages.The results of contents determination can be used to guide the cultivar selection, harvest and processing of P. lactiflora flowers.
本研究旨在建立一种超高效液相色谱-二极管阵列检测法(UPLC-DAD),用于同时测定不同品种和加工方法的芍药花花瓣中酚酸、花青素、单萜糖苷和黄酮类化合物中的9种活性成分。采用Waters ACQUITY UPLC HSS T3 C₁₈色谱柱(2.1 mm×100 mm,1.8 μm)进行超高效液相色谱分析,以0.5%甲酸溶液(A)-乙腈(B)为流动相进行梯度洗脱,流速为0.3 mL·min⁻¹。采用切换波长法确定检测波长,柱温保持在20℃,进样量为2 μL。获得了不同来源和处理方法样品中上述成分的含量。使用SIMCA 14.0软件对芍药花进行主成分分析(PCA),结果表明,芍药花可根据品种分为两类,其中“亳州芍药”为一类,上述成分含量较高,“白芍川芍药”和“赤芍川芍药”为另一类。干燥的芍药花可分为三类,包括烘焙干燥、晒干和阴干,其中烘焙干燥法最佳。芍药花受产地、生长海拔、生长年份或开花阶段的影响不大。含量测定结果可用于指导芍药花的品种选择、采收和加工。