School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen AB10 1FR, United Kingdom.
J Pharm Biomed Anal. 2011 Apr 5;54(5):951-7. doi: 10.1016/j.jpba.2010.11.019. Epub 2010 Nov 21.
The statutory regulation of herbal medicines is under review within the United Kingdom (UK) and by 2011 all herbal medicines will require either a Product Licence or a Traditional Herbal Registration. The species Scutellaria baicalensis has been shown to possess anti-inflammatory, anti-viral and anti-tumor properties and is one of the most widely used Chinese herbal extracts in Eastern and Western medicines. The bioactivity of this herbal medicine is due to the radical scavenging activities of the flavone components of which there are more than 60. This research has characterised 5 key flavones in 18 extracts of Scutellaria using a combination of HPLC with DAD and MS detection. Employing an internal standard approach, the validated HPLC method afforded good sensitivity and excellent assay precision. Assays for the ferric reducing antioxidant power (FRAP) and total phenol determinations enabled determination of the antioxidant coefficient (PAC) of each Scutellaria extract. The potential usefulness of employing multivariate statistical analysis using a combination of the key parameters collected namely, FRAP activity, total phenol content, levels of 5 flavone biomarkers and the PAC as a means of quality evaluation of the Scutellaria herbal extracts was investigated. The PAC value was predicted by soft independent modelling of class analogy (SIMCA) as being the most discriminatory parameter and applying this ranking the herbal extracts were grouped into 3 clusters. The second most influential parameter in determining the clustering of the samples was the level of baicalin in each extract. It is proposed that the PAC value alone or in combination with a chromatographic fingerprint of key biomarkers [e.g. baicalin or (baicalin+baicalein)] may be useful indicators to adopt for the quality control of S. baicalensis.
英国（UK）正在对草药进行法定监管，到 2011 年，所有草药都将需要获得产品许可证或传统草药注册。黄芩已被证明具有抗炎、抗病毒和抗肿瘤特性，是中药和西药中使用最广泛的草药提取物之一。这种草药的生物活性归因于黄酮类成分的自由基清除活性，其中有 60 多种。本研究采用 HPLC 与 DAD 和 MS 检测相结合的方法，对黄芩的 18 种提取物中的 5 种关键黄酮类化合物进行了特征描述。采用内标法，验证后的 HPLC 方法具有良好的灵敏度和出色的测定精密度。测定铁还原抗氧化能力（FRAP）和总酚含量，可确定每个黄芩提取物的抗氧化系数（PAC）。采用多元统计分析方法，结合收集的关键参数，如 FRAP 活性、总酚含量、5 种黄酮类生物标志物水平和 PAC，对黄芩草药提取物进行质量评估，具有潜在的用途。采用软独立建模分类法（SIMCA）预测 PAC 值是最具区分性的参数，并根据这一排名，将草药提取物分为 3 组。决定样品聚类的第二个最具影响力的参数是每个提取物中黄芩苷的水平。有人提出，PAC 值本身或与关键生物标志物（如黄芩苷或（黄芩苷+黄芩素））的色谱指纹图谱结合使用，可能是 S. baicalensis 质量控制的有用指标。
