Applying Tchebichef image moments to quantitative analysis of the components in complex samples based on raw NIR spectra
Tài liệu tham khảo
Moros, 2008, Chemometric determination of arsenic and lead in untreated powdered red paprika by diffuse reflectance near-infrared spectroscopy, Anal. Chim. Acta, 613, 196, 10.1016/j.aca.2008.02.066
Tewari, 2008, Determination of origin and sugars of citrus fruits using genetic algorithm, correspondence analysis and partial least square combined with fiber optic NIR spectroscopy, Spectroc. Acta Pt. A-Molec. Biomolec. Spectr, 71, 1119, 10.1016/j.saa.2008.03.005
Tomlinson, 2006, The use of near-infrared spectroscopy for the cure monitoring of an ethyl cyanoacrylate adhesive, Vib. Spectrosc., 40, 133, 10.1016/j.vibspec.2005.07.009
Blanco, 2008, Development of a univariate calibration model for pharmaceutical analysis based on NIR spectra, Anal. Bioanal. Chem., 392, 1367, 10.1007/s00216-008-2426-9
Thomas, 1990, Comparison of multivariate calibration methods for quantitative spectral-analysis, Anal. Chem., 62, 1091, 10.1021/ac00209a024
Dunia, 1996, Identification of faulty sensors using principal component analysis, AIChE J., 42, 2797, 10.1002/aic.690421011
Geladi, 1986, Partial least-squares regression - a tutorial, Anal. Chim. Acta, 185, 1, 10.1016/0003-2670(86)80028-9
Chen, 2005, A new hybrid strategy for constructing a robust calibration model for near-infrared spectral analysis, Anal. Bioanal. Chem., 381, 795, 10.1007/s00216-004-2937-y
Borggaard, 1992, Optimal minimal neural interpretation of spectra, Anal. Chem., 64, 545, 10.1021/ac00029a018
Wythoff, 1993, Backpropagation neural networks - a tutorial, Chemom. Intell. Lab. Syst, 18, 115, 10.1016/0169-7439(93)80052-J
Belousov, 2002, Applicational aspects of support vector machines, J. Chemometr., 16, 482, 10.1002/cem.744
Li, 2007, A consensus least squares support vector regression (LS-SVR) for analysis of near-infrared spectra of plant samples, Talanta, 72, 217, 10.1016/j.talanta.2006.10.022
Geladi, 1985, Linearization and scatter-correction for near-infrared reflectance spectra of meat, Appl. Spectrosc., 39, 491, 10.1366/0003702854248656
Pizarro, 2004, Influence of data pre-processing on the quantitative determination of the ash content and lipids in roasted coffee by near infrared spectroscopy, Anal. Chim. Acta, 509, 217, 10.1016/j.aca.2003.11.008
Barnes, 1989, Standard normal variate transformation and deternding of near-infrared diffuse reflectance spectra, Appl. Spectrosc., 43, 772, 10.1366/0003702894202201
Guo, 1999, The robust normal variate transform for pattern recognition with near-infrared data, Anal. Chim. Acta, 382, 87, 10.1016/S0003-2670(98)00737-5
Wold, 1998, Orthogonal signal correction of near-infrared spectra, Chemom. Intell. Lab. Syst, 44, 175, 10.1016/S0169-7439(98)00109-9
Woody, 2004, Transfer of multivariate calibrations between four near-infrared spectrometers using orthogonal signal correction, Anal. Chem., 76, 2595, 10.1021/ac035382g
Alsberg, 1997, An introduction to wavelet transforms for chemometricians: a time-frequency approach, Chemom. Intell. Lab. Syst, 37, 215, 10.1016/S0169-7439(97)00029-4
Chen, 2007, An adaptive strategy for selecting representative calibration samples in the continuous wavelet domain for near-infrared spectral analysis, Anal. Bioanal. Chem., 387, 1041, 10.1007/s00216-006-0967-3
Norgaard, 2000, Interval partial least-squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy, Appl. Spectrosc., 54, 413, 10.1366/0003702001949500
Leardi, 2004, Sequential application of backward interval partial least squares and genetic of relevant spectral regions, J. Chemometr., 18, 486, 10.1002/cem.893
Xu, 1996, Wavelength selection for simultaneous spectroscopic analysis. Experimental and theoretical study, Anal. Chem., 68, 2392, 10.1021/ac951142s
Hoskuldsson, 2001, Variable and subset selection in PLS regression, Chemometr. Intell. Lab. Syst, 55, 23, 10.1016/S0169-7439(00)00113-1
Karimi, 2013, Identification of discriminatory variables in proteomics data analysis by clustering of variables, Anal. Chim. Acta, 767, 35, 10.1016/j.aca.2012.12.050
Tan, 2003, Multivariate calibration of spectral data using dual-domain regression analysis, Anal. Chim. Acta, 490, 291, 10.1016/S0003-2670(03)00351-9
Deng, 2009, A local Tchebichef moments-based robust image watermarking, Signal Process., 89, 1531, 10.1016/j.sigpro.2009.02.005
Li, 2015, The application of a Tchebichef moment method to the quantitative analysis of multiple compounds based on three-dimensional HPLC fingerprint spectra, Analyst, 140, 630, 10.1039/C4AN01736F
Chen, 2016, Krawtchouk image moment method for the simultaneous determination of three drugs in human plasma based on fluorescence three-dimensional spectra, Talanta, 161, 99, 10.1016/j.talanta.2016.08.019
Li, 2016, The determination of multi-components utilizing 1H NMR three-dimensional spectra combined Tchebichef moments, Chemom. Intell. Lab. Syst, 156, 128, 10.1016/j.chemolab.2016.05.021
Xu, 2016, Quantitative analysis of multiple components based on liquid chromatography with mass spectrometry in full scan mode, J. Sep. Sci., 39, 3054, 10.1002/jssc.201600455
Martin, 2012, Does rational selection of training and test sets improve the outcome of QSAR modeling?, J. Chem. Inf. Model., 52, 2570, 10.1021/ci300338w
Li, 2017, An approach to the simultaneous quantitative analysis of metabolites in table wines by 1H NMR self-constructed three-dimensional spectra, Food Chem., 216, 52, 10.1016/j.foodchem.2016.08.018
Mukundan, 2001, Image analysis by Tchebichef moments, IEEE Trans. Image Process., 10, 1357, 10.1109/83.941859
Hemmateenejad, 2007, A comparative study between PCR and PLS in simultaneous spectrophotometric determination of diphenylamine, aniline, and phenol: effect of wavelength selection, Spectroc. Acta Pt. A-Molec. Biomolec. Spectr, 67, 958, 10.1016/j.saa.2006.09.014
Ni, 2009, Stacked partial least squares regression analysis for spectral calibration and prediction, J. Chemometr., 23, 505, 10.1002/cem.1246
Chen, 2006, Feasibility study on qualitative and quantitative analysis in tea by near infrared spectroscopy with multivariate calibration, Anal. Chim. Acta, 572, 77, 10.1016/j.aca.2006.05.007
Dai, 2010, Reconstruction of tomographic images from limited range projections using discrete Radon transform and Tchebichef moments, Pattern Recogn., 43, 1152, 10.1016/j.patcog.2009.07.009
Browne, 2000, Cross-validation methods, J. Math. Psychol., 44, 108, 10.1006/jmps.1999.1279
Shao, 1993, Linear-model selection by cross-validation, J. Am. Stat. Assoc., 88, 486, 10.1080/01621459.1993.10476299