高效液相色谱法
指纹(计算)
化学
分析物
色谱法
抗氧化剂
质量评定
传统医学
计算机科学
医学
人工智能
生物化学
外部质量评估
病理
作者
Lili Lan,Jianglei Zhang,Ting Yang,Dandan Gong,Zijia Zheng,Guoxiang Sun,Ping Guo,Hong Zhang
出处
期刊:Phytomedicine
[Elsevier]
日期:2022-07-19
卷期号:105: 154340-154340
被引量:13
标识
DOI:10.1016/j.phymed.2022.154340
摘要
Compound drug Zhizi Jinhua Pills (ZZJHP) is composed of 8 herbal medicines (HMs), and it is necessary to control the HMs to ensure its holistic quality. To establish a quality monitoring method for ZZJHP from precise control of multiple active ingredients to contour control of fingerprint, to calculate the contribution of HMs and predict the quality of compound drugs. In this study, HPLC method was established for content determination of 11 analytes and fingerprint assessment. In vivo and in vitro studies of antioxidant activity were performed, Orthogonal Partial Least Squares analysis was applied for spectrum-effect correlation between antioxidant activity and HPLC fingerprint. The compound synthesizing fingerprint (CSF) of ZZJHP was fitted with 8 HMs, and the contribution of the single herb to prescription was evaluated by Sub-quantified profiling method. The content of 11 analytes and fingerprints of ZZJHP were measured simultaneously, 32 batches of samples were divided into 6 grades. In vivo and in vitro researches suggested significant antioxidant activity capacity of ZZJHP. Then, spectrum-effect relationship study showed that 24 of the 30 fingerprint peaks had antioxidant activity. By prescription and decomposition profiling, the qualitative and quantitative contributions of the 8 herbs were revealed in turn. The negative solution experiment proved that CSF could accurately predict the quality of composite drugs. The intelligent prediction strategy could intervene at the source to realize rapid screening of HMs and prediction of the quality of preparations, which could provide guidance for the use of HMs and improve the quality of composite drugs.
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