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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >A strategy for the detection of quality fluctuation of a Chinese herbal injection based on chemical fingerprinting combined with biological fingerprinting.
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A strategy for the detection of quality fluctuation of a Chinese herbal injection based on chemical fingerprinting combined with biological fingerprinting.

机译:基于化学指纹与生物指纹相结合的中药注射剂质量波动检测策略。

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摘要

Herbal injections are powerful preparations of traditional Chinese medicines. However, the quality control (QC) of these formulations is difficult to establish. Recently, chemical fingerprinting (CF) has been recommended as a potential strategy for the QC of herbal injections. However, some constituents cannot be detected by chromatographic methods. To establish a comprehensive QC process, biological fingerprinting (BF) was combined with CF to detect the fluctuation in quality of a herbal injection from chemical and biological aspects. Yinzhihuang injection was selected as a representative herbal injection. Ten batches of normal samples and six batches of artificially abnormal samples were collected. High-performance liquid chromatography and thermal activity monitoring were applied to develop CF and BF, respectively. The CF and BF of normal samples were similar, with good stability and consistency, but the abnormal samples were not. The results were analyzed by hierarchical clustering analysis: all abnormal samples could be correctly distinguished when CF and BF were combined. The recognition ratio was higher for CF (87.5%) than for BF (93.75%). The key factors of quality fluctuation were bacterial contamination, high temperature, lighting, and sterilizing conditions. The described method could be used for early prediction of adverse drug events, which could help improve the safety of herbal injections.
机译:草药注射剂是中药的有力制剂。但是,这些制剂的质量控制(QC)难以建立。最近,化学指纹图谱(CF)已被推荐为草药注射剂质量控制的潜在策略。但是,某些成分无法通过色谱法检测到。为了建立全面的质量控制流程,将生物指纹(BF)与CF结合使用,从化学和生物学方面检测草药注射液的质量波动。银止黄注射液被选为代表性的中草药注射液。收集10份正常样品和6份人为异常样品。高效液相色谱和热活性监测分别用于开发CF和BF。正常样品的CF和BF相似,具有良好的稳定性和一致性,而异常样品则没有。通过层次聚类分析对结果进行分析:将CF和BF结合可以正确地区分所有异常样品。 CF(87.5%)的识别率高于BF(93.75%)的识别率。质量波动的关键因素是细菌污染,高温,照明和消毒条件。所描述的方法可以用于药物不良事件的早期预测,这可以帮助提高草药注射剂的安全性。

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