山银花Lonicerae Flos作为一种常用的药食两用中药,具有清热解毒、疏散风热的功效,广泛应用于中成药、食品和保健品。近年来,市场需求的增加使山银花的成分、药效和质量成为研究焦点。山银花的质量受到基原、产地、批次和加工方式等多种因素的影响,其化学成分复杂、不稳定,给质量控制带来严峻挑战。通过系统梳理中国知网(China national knowledge infrastructure,CNKI)与Web of Science(WOS)中山银花的基原、成分、生物效应质量评控相关文献,明确山银花的变异成分、活性成分,并通过计算变异系数(coefficient of variation,CV)预测山银花可能的I类质控指标。通过网络药理学和分子对接技术,将预测的I类质控指标与清热解毒功效相关联。以绿原酸为例,分析了I类质控指标在山银花的“基原鉴别-生产过程监控-制剂药效保障”全产业链的参与方式,为后续山银花在生产加工以及制剂过程中关键监控成分提供参考,也为其质量标准优化提供理论依据。

Shanyinhua (Lonicerae Flos), a commonly used medicinal and edible herb, is renowned for its heat-clearing, detoxifying, and wind-dispersing properties, leading to its extensive application in traditional Chinese patent medicines, foods, and health products. In recent years, increasing market demand has made the components, efficacy, and quality of Lonicerae Flos a research focus. However, its quality is influenced by various factors such as botanical origin, geographical location, batch variations, and processing methods, resulting in complex and unstable chemical compositions that pose significant challenges for quality control. By systematically reviewing literature from the China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) concerning the origin, chemical constituents, and bio-effect quality assessment and control of Lonicerae Flos, this study aims to identify its variable components and active constituents. The coefficient of variation (CV) was calculated to predict potential class I marker components for quality control. Network pharmacology and molecular docking techniques were employed to associate these predicted type I markers with the herb’s clearing heat and detoxifying efficacy. Finally, using chlorogenic acid as an example, the study illustrates how class I marker components can be integrated throughout the entire industrial chain of Lonicerae Flos from botanical identification and production process monitoring to efficacy assurance in formulated products. This provides a reference for identifying key components to monitor during production, processing, and formulation, and offers a theoretical basis for optimizing its quality standards.

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国家自然科学基金项目（81874344）；湖南省重点领域研发计划（2023SK2046）；湖南省卫生健康高层次人才重大科研专项（R2023139）；湖南省自然科学基金项目（2023JJ60474）；长沙市自然科学基金项目（kq2208148，kq2208191）；湖南创新型省份建设专项（2024RC8110）