基于荧光光谱的五维数据处理方法
[1] CHAO K, WU H L, YU Y J, et al.. An alternative quadrilinear decomposition algorithm for four-way calibration with application to analysis of four-way fluorescence excitation-emission-pH data array [J]. Anal. Chim. Acta, 2013, 758(1):45-57.
[2] GOICOECHEA H C, CALIMAG-WILLIAMS K, CAMPIGLIA A D. Multi-way partial least-squares and residual bi-linearization for the direct determination of monohydroxy-polycyclic aromatic hydrocarbons on octadecyl membranes via room-temperature fluorescence excitation emission matrices [J]. Anal. Chim. Acta, 2012, 717(5):100-109.
[3] CALIMAG-WILLIAMS K, KNOBEL G, GOICOECHEA H C, et al.. Achieving second order advantage with multi-way partial least squares and residual bi-linearization with total synchronous fluorescence data of monohydroxy-polycyclic aromatic hydrocarbons in urine samples [J]. Anal. Chim. Acta, 2014, 811:60-69.
[4] YANG R, LIU R, XU K. Detection of adulterated milk using two-dimensional correlation spectroscopy combined with multi-way partial least squares [J]. Food Biosci., 2013, 2:61-67.
[5] SHAHLAEI M, FASSIHI A, SAGHAIE L, et al.. Prediction of partition coefficient of some 3-hydroxy pyridine-4-one derivatives using combined partial least square regression and genetic algorithm [J]. Res. Pharmaceut. Sci., 2014, 9(2):143-153.
[6] HANAFI M, OUERTANI S S, BOCCARD J, et al.. Multi-way PLS regression: monotony convergence of tri-linear PLS2 and optimality of parameters [J]. Computat. Stat. Data Anal., 2015, 83:129-139.
[7] OLIVIERI A C. Analytical advantages of multivariate data processing. One, two, three, infinity [J]. Adv. Nurs. Sci., 2008, 80(15):5713-5720.
[8] BRO R, ANDERSEN C M. Theory of net analyte signal vectors in inverse regression [J]. J. Chemomet., 2003, 17(12):646-652.
[9] OLIVIERI A C, ARANCIBIA J A, PEA A M D L, et al.. Second-order advantage achieved with four-way fluorescence excitation-emission-kinetic data processed by parallel factor analysis and trilinear least-squares. Determination of methotrexate and leucovorin in human urine [J]. Anal. Chem., 2004, 76(19):5657-5666.
[10] ARANCIBIA J A, OLIVIERI A C, GIL D B, et al.. Trilinear least-squares and unfolded-PLS coupled to residual trilinearization: new chemometric tools for the analysis of four-way instrumental data [J]. Chemomet. Intel. Lab. Syst., 2006, 80(1):77-86.
[11] LEURGANS S, ROSS R T. Multilinear models: applications in spectroscopy [J]. Stat. Sci., 1992, 7(3):289-310.
[12] BRO R. PARAFAC. Tutorial and applications [J]. Chemomet. Intel. Lab. Syst., 1997, 38(2):149-171.
[13] PEA A M D L, MERS I D, GIRN A J, et al.. Evaluation of unfolded-partial least-squares coupled to residual trilinearization for four-way calibration of folic acid and methotrexate in human serum samples [J]. Talanta, 2007, 72(4):1261-1268.
[14] 杜树新,杜阳锋,武晓莉. 基于三维荧光导数光谱的水体有机污染物浓度检测 [J]. 光谱学与光谱分析, 2010, 30(12):3268-3271.
王玉田, 赵煦, 潘钊, 苑媛媛. 基于荧光光谱的五维数据处理方法[J]. 发光学报, 2016, 37(11): 1436. WANG Yu-tian, ZHAO Xu, PAN Zhao, YUAN Yuan-yuan. Processing Method of Five-dimensional Data Based on Fluorescence Spectra[J]. Chinese Journal of Luminescence, 2016, 37(11): 1436.