Department of Analytical Chemistry and Pharmaceutical Technology, Center for Pharmaceutical Research, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090 Brussels, Belgium.
Anal Chim Acta. 2011 Oct 31;705(1-2):111-22. doi: 10.1016/j.aca.2011.04.024. Epub 2011 Apr 22.
Extracts of Citri reticulatae pericarpium (PCR) are commonly used in the Traditional Chinese Medicine. The quality control of PCR is currently performed by single marker analysis, which can hardly describe the complexity of such natural samples. In this study, a fingerprint methodology for PCR based on high-performance liquid chromatography (HPLC) was developed and validated. A total of 69 fingerprints of authenticated PCR samples, commercial PCR samples, mixed peel samples, and other Citrus peels were recorded. Exploratory data analysis allowed optimizing the extraction procedure and detecting mixed peel samples. Once the optimizations were performed and the method validated, discrimination between the authentic PCR samples and all other samples was performed by p-Discriminant Partial Least Squares. The established model was able to differentiate between classes with a high reliability for each sample. Furthermore, evaluation of the score and loading plots of the model indicated nobiletin, tangeretin, naringin and hesperidin as important markers for the quality control of PCR.
陈皮（PCR）提取物在中药中被广泛使用。目前，PCR 的质量控制采用单一标志物分析，很难描述此类天然样品的复杂性。本研究建立了一种基于高效液相色谱（HPLC）的 PCR 指纹图谱分析方法，并对其进行了验证。共记录了 69 份经鉴定的 PCR 样品、商业 PCR 样品、混合果皮样品和其他柑橘皮的指纹图谱。通过探索性数据分析，可以优化提取程序并检测混合果皮样品。优化后，通过偏最小二乘判别分析（p-Discriminant Partial Least Squares）对鉴定的 PCR 样品和所有其他样品进行区分。所建立的模型能够可靠地区分不同类别，且对每个样本的区分能力都很高。此外，对模型的得分和载荷图的评估表明，诺必灵、橘红素、柚皮苷和橙皮苷是 PCR 质量控制的重要标志物。
