Zhang Xu-Jie, Liu Li-Juan, Song Ting-Ting, Wang Yan-Qiu, Yang Xiao-hong
Department of Pharmaceutical Engineering, Heilongjiang University, Harbin, 150080, China.
J Nat Med. 2014 Apr;68(2):448-54. doi: 10.1007/s11418-013-0812-x. Epub 2014 Jan 3.
In this work, an approach based on antioxidant fingerprint-efficacy relationships and TLC bioautography assay was developed for quality evaluation of traditional Chinese medicine (TCM). First, chemical fingerprints of 20 batches of different sources of Rubia cordifolia were established by HPLC. The antioxidant activities of these samples were evaluated by 1,1-diphenyl-2-picrylhydrazyl radical scavenging assay. Then, five active components from fingerprint peaks were determined by both multiple correlation analysis and TLC bioautography assay. Similarity analysis and hierarchical clustering analysis (HCA) based on these active peaks were chosen to evaluate the quality of R. cordifolia from different sources. The samples with similarities below 0.9 had poorer antioxidant activities and those having stronger activities fell into the same cluster in HCA. Finally, five batches of commercial samples were processed in the same way to verify the feasibility of this method. The results suggested that chemical fingerprinting combined with similarity analysis based on fingerprint-efficacy relationship and TLC bioautography could evaluate the antioxidant activity of R. cordifolia from various sources. The established technique would also provide an easy method of evaluating the quality of other TCMs.
在本研究中,开发了一种基于抗氧化剂指纹图谱-功效关系和薄层色谱生物自显影分析的方法,用于中药(TCM)的质量评价。首先,采用高效液相色谱法建立了20批不同来源的茜草的化学指纹图谱。通过1,1-二苯基-2-苦基肼自由基清除试验评估这些样品的抗氧化活性。然后,通过多元相关分析和薄层色谱生物自显影分析确定了指纹图谱峰中的5种活性成分。基于这些活性峰进行相似度分析和层次聚类分析(HCA),以评估不同来源茜草的质量。相似度低于0.9的样品抗氧化活性较差,而活性较强的样品在HCA中归为同一类。最后,对5批市售样品进行同样的处理,以验证该方法的可行性。结果表明,化学指纹图谱结合基于指纹图谱-功效关系的相似度分析和薄层色谱生物自显影可以评估不同来源茜草的抗氧化活性。所建立的技术还将为评估其他中药的质量提供一种简便的方法。