Muñoz de la Peña A, Merás I Durán, Jiménez Girón A, Goicoechea H C
Department of Analytical Chemistry, University of Extremadura, 06071 Badajoz, Spain.
Talanta. 2007 Jun 15;72(4):1261-8. doi: 10.1016/j.talanta.2007.01.018. Epub 2007 Jan 16.
The combination of unfolded-partial least-squares (U-PLS) with a recently proposed separate procedure, known as residual trilinearization (RTL), has been successfully employed for four-way data calibration. The chemometric method employs the evolution of excitation-emission matrices (EEMs) with time, for the resolution of folic acid-methotrexate mixtures, in human serum samples. The fluorogenic products monitored correspond to the oxidation of the studied analytes with potassium permanganate, in slightly acidic medium. The reaction is developed in 7min and followed using a fast-scanning spectrofluorimeter, capable of recording each complete EEM in 12s. This allows the acquisition of 10 successive EEMs, at different reaction times, during the development of the oxidation reaction, given rise to the four-way data set employed. The procedure, which had been previously reported for urine determination, is extended to serum analysis in this work. The combination of U-PLS/RTL is providing enhanced predictive results in comparison with standard methods as PARAFAC and N-PLS, in the presence of human serum, where significant unexpected components and or inner filter effects may occur.
将展开偏最小二乘法(U-PLS)与最近提出的一种称为残差三线性化(RTL)的单独程序相结合,已成功用于四元数据校准。该化学计量学方法利用激发发射矩阵(EEM)随时间的变化,来解析人血清样品中叶酸-甲氨蝶呤混合物。所监测的荧光产物对应于在微酸性介质中,所研究分析物与高锰酸钾的氧化反应。该反应在7分钟内完成,并使用快速扫描荧光分光光度计进行跟踪,该仪器能够在12秒内记录每个完整的EEM。这使得在氧化反应过程中,能够在不同反应时间获取10个连续的EEM,从而形成所使用的四元数据集。该程序先前已用于尿液测定,在本工作中扩展至血清分析。与标准方法如平行因子分析(PARAFAC)和非线性偏最小二乘法(N-PLS)相比,在存在人血清的情况下,U-PLS/RTL组合提供了更好的预测结果,因为人血清中可能会出现显著的意外成分和/或内滤效应。