中药与临床2025，Vol.16Issue(3)：22-26,50,6.
UPLC指纹图谱结合化学模式识别评价不同产地多花黄精药材质量
UPLC fingerprint combined with chemical pattern recognition to evaluate quality of Polygonatum cyrtonema Hua from different production areas
摘要
Abstract
Objective:To establish the fingerprint of Polygonatum cyrtonema Hua,and to evaluate the quality of Polygonatum cyrtonema Hua from different production areas by combining chemical pattern recognition.Methods:Ultra performance liquid chromatography(UPLC)was used for analysis with Waters HSS T3 C18 column(150 mm×2.1 mm,1.8 μm).The mobile phase was acetonitrile-0.1%phosphate water solution in gradient elution with the flow rate of 0.3 mL per minute.The column temperature was set at 30℃.Sample size was 1 μL and wavelength was 200 nm.The fingerprint of Polygonatum cyrtonema Hua was established,and analyzed by similarity,principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA).The significant difference components were screened with variable importance projection index(VIP)value greater than 1.Results:The fingerprint of Polygonatum cyrtonema Hua identified 17 common peaks,and identified 2 chemical components which were uridine and tryptophan.The similarity results showed that the similarity of Guizhou and part of Yunnan was low,and the similarity of Hunan and Sichuan was high.The PCA analysis divided Polygonatum cyrtonema Hua into two categories,showing certain terrain and climate regularity.Hunan and Sichuan were classified as one category,Yunnan and Guizhou were classified as one category.The OPLS-DA analysis identified 3 differential markers,and ranked according to the significance of difference,which were peak 3>peak 2>peak 13.Conclusion:This method preliminarily explores the correlation between the fingerprint of Polygonatum cyrtonema Hua and different production areas,which can provide theoretical reference for the quality evaluation of Polygonatum cyrtonema Hua from different production areas.关键词
多花黄精/产地/指纹图谱/相似度/主成分分析/正交偏最小二乘法-判别分析/质量评价Key words
Polygonatum cyrtonema Hua/production areas/fingerprint/similarity/principal component analysis/orthogonal partial least squares-discriminant analysis/quality evaluation分类
医药卫生引用本文复制引用
杨文惠,杨晓东,张妍,王玥,聂寰,肖健平,孙冬梅,徐叶,邓成程..UPLC指纹图谱结合化学模式识别评价不同产地多花黄精药材质量[J].中药与临床,2025,16(3):22-26,50,6.基金项目
中华人民共和国工业和信息化部2022年产业技术基础公共服务平台项目(2022-230-221) （2022-230-221）
