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基于 HPLC 指纹图谱定量分析结合抗氧化活性分析的制子金花丸的化合物合成特征研究。

Compound synthesizing profiling based on quantitative HPLC fingerprints combined with antioxidant activity analysis for Zhizi Jinhua pills.

机构信息

School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China.

School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China.

出版信息

Phytomedicine. 2022 Oct;105:154340. doi: 10.1016/j.phymed.2022.154340. Epub 2022 Jul 19.

Abstract

BACKGROUND

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.

PURPOSE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

背景

复方中药栀子金花丸(ZZJHP)由 8 种草药组成,有必要控制草药以确保其整体质量。

目的

从多活性成分的精确控制到指纹图谱的轮廓控制,建立 ZZJHP 的质量监测方法,计算草药的贡献并预测复方药物的质量。

方法

本研究建立了 HPLC 法同时测定 11 种成分的含量和指纹图谱评估。进行抗氧化活性的体内和体外研究,应用正交偏最小二乘分析(OPLS-DA)进行抗氧化活性与 HPLC 指纹图谱的谱效相关性研究。拟合 ZZJHP 的复合合成指纹(CSF)与 8 种草药,采用子量化分析方法评估单味药对处方的贡献。

结果

同时测定了 11 种成分和 ZZJHP 的指纹图谱,对 32 批样品进行了 6 级划分。体内和体外研究表明 ZZJHP 具有显著的抗氧化活性。然后,谱效关系研究表明,30 个指纹峰中的 24 个具有抗氧化活性。通过处方和分解分析,依次揭示了 8 种草药的定性和定量贡献。负溶液实验证明 CSF 可以准确预测复方药物的质量。

结论

智能预测策略可以在源头进行干预,实现对草药的快速筛选和制剂质量的预测,为草药的使用提供指导,提高复方药物的质量。

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