基于“指纹图谱-模式识别-血清移行成分”整合策略筛选清消五味汤质量差异标志物

doi:10.3976/j.issn.1002-4026.2025048

Abstract

Abstract: By establishing high-performance liquid chromatography (HPLC) fingerprints of Qingxiao Wuwei Decoction (QXWWD) and integrating chemical pattern recognition with in vivo and in vitro component identification methods, this study aimed to screen differential compounds and provide reference data for consistency evaluation and the development of compound preparations. The fingerprints of 18 batches of QXWWD were established evaluated for similarity. Bioinformatics methods were used to analyze potential quality markers. HPLC–Q–Exactive–MS was used to identify in vitro chemical components and serummigration components of QXWWD. Based on the integrated “fingerprint–pattern recognition–serum-migrant components” strategy, quality-difference markers were screened. A total of 28 peaks were identified in the fingerprints of QXWWD, among which8 quality-difference markers, such as chrysophanol, were selected. In total,85 in vitro chemical components and 55 serummigration components of QXWWD were identified. By finding the intersection of the fingerprint-identified components and those identified in vivo and in vitro using a Venn diagram, we identified chrysophanol as the core quality-difference marker. This study established a simple and reproducible analytical method that can effectively evaluate the quality stability and batch consistency of QXWWD. This method provides reliable data to support process optimization, quality-standard development, and the subsequent development of this prescription.

Key words: Qingxiao Wuwei decoction, fingerprint-pattern recognition, serummigration components, quality difference markers

CLC Number:

R288

SHI Kaitao, LI Jun, ZHANG Qian, MA Yuheng. Screening quality-difference markers of QingxiaoWuwei Decoction using an integrated “fingerprint–pattern recognition–serum migration components” strategy[J].Shandong Science, 0, (): 1-.

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Screening quality-difference markers of QingxiaoWuwei Decoction using an integrated “fingerprint–pattern recognition–serum migration components” strategy

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