张萍, 胡克特, 陈荣祥, 等. 超高效液相色谱−电化学检测法测定不同产地盐肤木中的酚类化合物[J]. 西南林业大学学报(自然科学), 2021, 41(1): 167–173 . DOI: 10.11929/j.swfu.202004070
引用本文: 张萍, 胡克特, 陈荣祥, 等. 超高效液相色谱−电化学检测法测定不同产地盐肤木中的酚类化合物[J]. 西南林业大学学报(自然科学), 2021, 41(1): 167–173 . DOI: 10.11929/j.swfu.202004070
Ping Zhang, Kete Hu, Rongxiang Chen, Ding Gu. Determination of Phenolic Compounds in Rhus chinensis from Different Habitats by UPLC−ECD[J]. Journal of Southwest Forestry University, 2021, 41(1): 167-173. DOI: 10.11929/j.swfu.202004070
Citation: Ping Zhang, Kete Hu, Rongxiang Chen, Ding Gu. Determination of Phenolic Compounds in Rhus chinensis from Different Habitats by UPLC−ECD[J]. Journal of Southwest Forestry University, 2021, 41(1): 167-173. DOI: 10.11929/j.swfu.202004070

超高效液相色谱−电化学检测法测定不同产地盐肤木中的酚类化合物

Determination of Phenolic Compounds in Rhus chinensis from Different Habitats by UPLC−ECD

  • 摘要: 盐肤木根粉碎后按1 g∶50 mL的比例加入80%甲醇超声50 min,离心后取上清液,经0.22 μm滤膜过滤后进行色谱分离。以ACQUITY UPLC HSS T3柱为固定相,50 mmol/L柠檬酸盐溶液−甲醇为流动相梯度洗脱,检测电压600 mV,对11批盐肤木样本进行检测并进行聚类分析与主成分分析。结果表明:没食子酸、苔黑酚葡萄糖苷、表没食子儿茶素、没食子酸甲酯、苔黑酚、表没食子儿茶素没食子酸酯、没食子酸乙酯、表儿茶素没食子酸酯、1,2,3,4,6−O−五没食子酰葡萄糖等酚类化合物线性关系良好,相关系数大于0.999,11批盐肤木样品进行的聚类分析与主成分分析均将其分为3类。所建立的方法可为提高盐肤木的质量标准和加强质量控制提供依据。

     

    Abstract: The mashed Rhus chinensis root was extracted by ultrasound for 50 min with 80% methanol according to the ratio of 1∶50 g/mL. The extract was centrifuged and filtered with 0.22 μm filter membrane for chromatographic separation. An ACQUIT UPLC HSS T3 column was used as the stationary phase. The mobile phase was methanol combined with 50 mmol/L citrate solution as modifier in the gradient elution mode. The detection potental was 600 mV. The samples from 11 regions were tested and analyzed by cluster analysis and principal component analysis. The findings indicated that the concentration of gallic acid, sakakin, (−)−epigallocatechin, methyl gallate, desmosol, (−)−epigallocatechin gallate, ethyl gallate, (−)−epicatechin gallate and 1,2,3,4,6−O−pentagalloylucose were linear correlated with peak areas, and the correlation coefficient were greater than 0.999. Cluster analysis and principal component analysis were carried out on the data of the samples from 11 regions, both can divid the samples into 3 categories. The established method can provide basis for improving the quality standard and strengthening the quality control of R. chinensis.

     

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