Mansur Sanawar, Abdulla Rahima, Ayupbec Amatjan, Aisa Haji Akbar
Key Laboratory of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Key Laboratory of Plant Resources and Chemistry in Arid Regions, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Molecules. 2016 Dec 21;21(12):1754. doi: 10.3390/molecules21121754.
A method based on ultra performance liquid chromatography with a diode array detector (UPLC-DAD) was developed for quantitative analysis of five active compounds and chemical fingerprint analysis of . Ten batches of collected from different plantations in the Xinjiang region of China were used to establish the fingerprint. The feasibility and advantages of the used UPLC fingerprint were verified for its similarity evaluation by systematically comparing chromatograms with professional analytical software recommended by State Food and Drug Administration (SFDA) of China. In quantitative analysis, the five compounds showed good regression (R² = 0.9995) within the test ranges, and the recovery of the method was in the range of 94.2%-103.8%. The similarities of liquid chromatography fingerprints of 10 batches of were more than 0.981. The developed UPLC fingerprint method is simple, reliable, and validated for the quality control and identification of . Additionally, simultaneous quantification of five major bioactive ingredients in the samples was conducted to interpret the consistency of the quality test. The results indicated that the UPLC fingerprint, as a characteristic distinguishing method combining similarity evaluation and quantification analysis, can be successfully used to assess the quality and to identify the authenticity of .
建立了一种基于超高效液相色谱-二极管阵列检测器（UPLC-DAD）的方法，用于五种活性成分的定量分析和[具体名称未给出]的化学指纹图谱分析。采用从中国新疆地区不同种植园采集的十批[具体名称未给出]来建立指纹图谱。通过使用中国国家食品药品监督管理总局（SFDA）推荐的专业分析软件系统地比较色谱图，验证了所采用的UPLC指纹图谱在相似度评价方面的可行性和优势。在定量分析中，这五种化合物在测试范围内呈现出良好的线性关系（R² = 0.9995），该方法的回收率在94.2% - 103.8%之间。十批[具体名称未给出]的液相色谱指纹图谱相似度均大于0.981。所建立的UPLC指纹图谱方法简便、可靠，可用于[具体名称未给出]的质量控制和鉴别。此外，对[具体名称未给出]样品中的五种主要生物活性成分进行了同时定量分析，以阐释质量检测的一致性。结果表明，UPLC指纹图谱作为一种结合相似度评价和定量分析的特征鉴别方法，可成功用于评估[具体名称未给出]的质量和鉴别其真伪。
