Li Bao Qiong, Chen Jing, Li Jiao Jiao, Wang Xue, Zhai Hong Lin
College of Chemistry & Chemical Engineering, Lanzhou University, Lanzhou, 730000, PR China.
Analyst. 2015 Jan 21;140(2):630-6. doi: 10.1039/c4an01736f.
Three-dimensional (3D) fingerprint spectra provide a wealth of information for the quantitative analysis of multiple target compounds in mixtures. In this paper, a Tchebichef moment method based on the 3D fingerprint spectra obtained from high performance liquid chromatography coupled with a photodiode array detector was proposed and used to determine notoginsenoside R1, ginsenoside Rg1, ginsenoside Re and ginsenoside Rb1 in samples of a traditional Chinese Medicine (Sanqi Panax Notoginseng). The correlation coefficients of the established models were more than 0.9955 within the test ranges, the recovery ranged from 98.41% to 108.00%, and the intra- and inter-day precisions were less than 3.83% and 5.04%, respectively. The obtained results indicated that the Tchebichef moment method had effective feature representation capability and provided satisfactory quantification accuracy. Furthermore, several moment methods applied in analytical chemistry were compared, which provided a valuable insight into the application of moment methods in the analytical field.
三维（3D）指纹光谱为混合物中多种目标化合物的定量分析提供了丰富的信息。本文提出了一种基于高效液相色谱-光电二极管阵列检测器获得的3D指纹光谱的切比雪夫矩方法，并用于测定中药（三七）样品中的三七皂苷R1、人参皂苷Rg1、人参皂苷Re和人参皂苷Rb1。在所测试的范围内，所建立模型的相关系数均大于0.9955，回收率在98.41%至108.00%之间，日内和日间精密度分别小于3.83%和5.04%。所得结果表明，切比雪夫矩方法具有有效的特征表示能力，并提供了令人满意的定量准确度。此外，还比较了几种应用于分析化学的矩方法，这为矩方法在分析领域的应用提供了有价值的见解。
