Gong Fan, Liang Yi-Zeng, Fung Ying-Sing, Chau Foo-Tim
Research Center of Modernization of Chinese Herbal Medicines, Institute of Chemometrics & Intelligent Analytical Instruments, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
J Chromatogr A. 2004 Mar 12;1029(1-2):173-83. doi: 10.1016/j.chroma.2003.12.049.
In this study, the combination of chemometric resolution and cubic spline data interpolation was investigated as a method to correct the retention time shifts for chromatographic fingerprints of herbal medicines obtained by high-performance liquid chromatography-diode array detection (HPLC-DAD). With the help of the resolution approaches in chemometrics, it was easy to identify the purity of chromatographic peak clusters and then resolve the two-dimensional response matrix into chromatograms and spectra of pure chemical components so as to select multiple mark compounds involved in chromatographic fingerprints. With these mark components determined, the retention time shifts of chromatographic fingerprints might be then corrected effectively. After this correction, the cubic spline interpolation technique was then used to reconstruct new chromatographic fingerprints. The results in this work showed that, the purity identification of the chromatographic peak clusters together with the resolution of overlapping peaks into pure chromatograms and spectra by means of chemometric approaches could provide the sufficient chromatographic and spectral information for selecting multiple mark compounds to correct the retention time shifts. The cubic spline data interpolation technique was user-friendly to the reconstruction of new chromatographic fingerprints with correction. The successful application to the simulated and real chromatographic fingerprints of two Cortex cinnamomi, fifty Rhizoma chuanxiong, ten Radix angelicae and seventeen Herba menthae samples from different sources demonstrated the reliability and applicability of the approach investigated in this work. Pattern recognition based on principal component analysis for identifying inhomogenity in chromatographic fingerprints from real herbal medicines could further interpret it.
在本研究中,对化学计量学分辨法与三次样条数据插值法相结合的方法进行了研究,以校正通过高效液相色谱 - 二极管阵列检测(HPLC - DAD)获得的草药色谱指纹图谱中的保留时间偏移。借助化学计量学中的分辨方法,很容易识别色谱峰簇的纯度,然后将二维响应矩阵解析为纯化学成分的色谱图和光谱,从而选择色谱指纹图谱中涉及的多个标记化合物。确定这些标记成分后,即可有效校正色谱指纹图谱的保留时间偏移。校正后,再使用三次样条插值技术重建新的色谱指纹图谱。本研究结果表明,通过化学计量学方法对色谱峰簇进行纯度鉴定以及将重叠峰解析为纯色谱图和光谱,可为选择多个标记化合物校正保留时间偏移提供足够的色谱和光谱信息。三次样条数据插值技术便于用户重建经校正的新色谱指纹图谱。该方法成功应用于来自不同来源的两个肉桂、五十个川芎、十个当归和十七个薄荷样品的模拟和真实色谱指纹图谱,证明了本研究中所探讨方法的可靠性和适用性。基于主成分分析的模式识别用于识别真实草药色谱指纹图谱中的不均匀性,可进一步对其进行阐释。