Maimaiti Zulipiya, Turak Ablajan, Ma Qing Ling, Liu Geyu, Aisa Haji Akbar
Key Laboratory of Plant Resources and Chemistry of Arid Zone, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
University of the Chinese Academy of Sciences, Beijing 100039, China.
Int J Anal Chem. 2020 Oct 30;2020:8859425. doi: 10.1155/2020/8859425. eCollection 2020.
In traditional Chinese medicine, the seeds of (L.) Willd. have been widely used for treatment of cough, skin diseases, diarrhea, fever, schistosomiasis, amoebic dysentery, and gastrointestinal problems, especially in the treatment of vitiligo for thousands of years in China. In this study, an effective, reliable, and accurate high-performance liquid chromatography diode array detector (HPLC-DAD) method was developed for quantitative analysis of 3 marker bioactive compounds and chemical fingerprint of the seeds of . Data corresponding to common peak areas and HPLC chromatographic fingerprints were analyzed by exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) to extract information of the most significant variables contributing to characterization and classification of the analyzed samples. Based on variety and origin, the high-performance thin layer chromatography (HPTLC) method validated the chemical fingerprint results used to screen the in vitro antioxidant activity of . The results show that the developed method has potential application values for the quality consistency evaluation and identification of similar instant samples. When considered collectively, this research results provide a scientific basis for the improvement of standardization and specification of medicinal materials and provide a pathway for the development and utilization of references for the identification of herbs.
在传统中医中，（植物学名）的种子已被广泛用于治疗咳嗽、皮肤病、腹泻、发烧、血吸虫病、阿米巴痢疾和胃肠道问题，尤其是在中国已有数千年治疗白癜风的历史。在本研究中，开发了一种有效、可靠且准确的高效液相色谱二极管阵列检测器（HPLC-DAD）方法，用于对（植物名称）种子中的3种标记生物活性化合物进行定量分析以及化学指纹图谱分析。通过探索性层次聚类分析（HCA）和主成分分析（PCA）对对应于共同峰面积和HPLC色谱指纹图谱的数据进行分析，以提取有助于分析样品表征和分类的最显著变量的信息。基于品种和产地，高效薄层色谱（HPTLC）方法验证了用于筛选（植物名称）体外抗氧化活性的化学指纹图谱结果。结果表明，所开发的方法在类似速溶（植物名称）样品的质量一致性评价和鉴定方面具有潜在应用价值。综合来看，本研究结果为提高（植物名称）药材的标准化和规范化提供了科学依据，并为开发利用（植物名称）药材鉴定参考提供了途径。
