Chinese Medicine Laboratory, Hong Kong Jockey Club Institute of Chinese Medicine, Shatin, NT, Hong Kong, China.
J Pharm Biomed Anal. 2010 Nov 2;53(3):279-86. doi: 10.1016/j.jpba.2010.03.022. Epub 2010 Mar 27.
In a well-controlled experiment, outliers discriminated by robust principal component analysis (RPCA) represent contents in samples which are of particular quality distinguishable from the rest of the others, therefore chemical constituents in a natural product causing discrimination between outliers and the majority of samples could be considered as analytical markers for quality control. Based on this strategy, a novel approach for rapidly exploring characteristic analytical markers was proposed for the quality control of extract granules of Radix Salviae Miltiorrhizae (EGRSM). In this study, large sizes of samples were analyzed via high-throughput ultra-high performance liquid chromatography-ultraviolet-quadrupole time-of-flight mass spectrometry (UHPLC-UV-Q-Tof MS). RPCA was first performed on the three groups of samples: RSM (the raw material), the in-house prepared aqueous extract of Radix Salviae Miltiorrhizae (AERSM) and commercial product of EGRSM, to determine the variation of specific constituents between raw material and the final products as well as the effect of manufacturing process on the overall quality. Then RPCA was performed on the commercial products of EGRSM to explore the applicability of identified characteristic markers for the quality control of EGRSM. Candidate markers were extracted by RPCA, and their molecular formulae were determined by high resolution electrospray ionization-mass spectrometric (ESI-MS) analysis. The suitability of identified markers was then evaluated by determining the relationship between quantities of the identified markers with their antioxidant activities biologically, and further confirmed in a variety of samples. In conclusion, the combination of RPCA with UHPLC-UV-Q-Tof MS is a reliable means to identify chemical markers for evaluating quality of herbal medicines.
在一项精心控制的实验中,通过稳健主成分分析(RPCA)区分出的离群值代表了样品中具有特殊质量的成分,与其他成分明显不同,因此,天然产物中导致离群值与大多数样品区分的化学成分可以被认为是质量控制的分析标志物。基于这一策略,提出了一种用于快速探索特征分析标志物的新方法,用于控制丹参提取物颗粒(EGRSM)的质量。在这项研究中,通过高通量超高效液相色谱-紫外-四极杆飞行时间质谱(UHPLC-UV-Q-Tof MS)分析了大量的样品。首先对三组样品进行 RPCA 分析:RSM(原料)、自制的丹参水提物(AERSM)和 EGRSM 的商业产品,以确定原料和最终产品之间特定成分的变化以及制造工艺对整体质量的影响。然后对 EGRSM 的商业产品进行 RPCA 分析,以探索所鉴定的特征标志物在 EGRSM 质量控制中的适用性。通过 RPCA 提取候选标志物,并通过高分辨率电喷雾电离-质谱(ESI-MS)分析确定其分子公式。然后通过确定鉴定出的标志物与生物抗氧化活性的数量之间的关系来评估鉴定出的标志物的适用性,并在多种样品中进一步确认。总之,将 RPCA 与 UHPLC-UV-Q-Tof MS 相结合是一种可靠的方法,可用于鉴定评估草药质量的化学标志物。