基于高效液相色谱指纹图谱法结合化学计量学对不同厂家红花黄进行质量评价

Quality evaluation of safflower yellow extracts from different manufacturers based on high performance liquid chromatography fingerprint combined with chemometrics

中文关键词:  红花黄  指纹图谱  化学计量学  羟基红花黄色素A  色价

英文关键词:safflower yellow  fingerprint  chemometrics  hydroxysafflor yellow a  color valueunits

中文摘要:

      目的 采用高效液相色谱(high performance liquid chromatography, HPLC)法测定不同厂家红花黄, 并建立红花黄提取物质量评价体系。方法 采用HPLC法, C18色谱柱(250 mm×4.6 mm, 5 μm), 流动相为乙腈-0.05%三氟乙酸溶液, 梯度洗脱, 流速为1.0 mL/min, 柱温为30 ℃, 检测波长为266 nm, 进样量10 μL。采用相似度评价、聚类分析、主成分分析对16批次红花黄提取物进行系统归类和分析; 同时测定羟基红花黄色素A含量。结果 确定了红花黄提取物中的11个共有特征峰, 并对其中的6个峰进行了指认, 聚类分析、主成分分析(principal component analysis, PCA)结果显示不同厂家样品存在明显分类差异, 正交偏最小二乘-判别分析(orthogonal partial leastsquares-discriminant analysis, OPLS-DA)筛选出5个变量重要性投影(projection ofvariable importance, VIP)>1的主要标志性组分; 发现其在不同厂家产品中波动显著, 可作为关键质量指标。从羟基红花黄色素A含量来看, 市售红花黄提取物质量参差不齐, 可能与原料种植环境、采收加工工艺及储藏条件相关。结论 本研究构建的指纹图谱-化学计量学-指标成分含量综合评价体系, 可为红花黄提取物质量评价体系完善及标准修订提供科学参考。

英文摘要:

      Objective To establish a method to determine the quality of safflower yellow in different manufacturers by high performance liquid chromatography (HPLC) fingerprint chromatogram method, and perfect the quality evaluation system of safflower yellow extract. Methods HPLC analysis was carried out on a C18 chromatographic column (250 mm×4.6 mm, 5 μm). The mobile phase consisted of acetonitrile-0.05% trifluoroacetic acid aqueous solution with gradient elution. The flow rate was set at 1.0 mL/min, column temperature at 30 ℃, detection wavelength at 266 nm, and injection volume at 10 μL. The 16 batches of safflower yellow extract were systematically classified and analyzed via similarity evaluation, cluster analysis and principal component analysis; meanwhile, the content of hydroxysafflor yellow A was determined. Results The 11 common characteristic peaks were identified in safflower yellow extract, and 6 of these peaks were assigned. Cluster analysis and principal component analysis demonstrated distinct classification differences among samples from different manufacturers. Orthogonal partial least squares-discriminant analysis (OPLS-DA) screened out 5 major marker components with variable importance in the projection (VIP) values>1; these components exhibited significant fluctuations in products from different manufacturers and could serve as key quality indicators. In terms of hydroxysafflor yellow A content, the quality of commercially available safflower yellow extract was uneven, which might be attributed to the planting environment of raw materials, harvesting and processing techniques, as well as storage conditions. Conclusion This study established a comprehensive quality evaluation system combining HPLC fingerprint analysis, chemometrics, and marker component quantification, which provides a scientific basis for refining the quality evaluation system and revising the quality standards of safflower yellow extract.