The evolution of chemometrics

被引:111
作者
Hopke, PK
机构
[1] Clarkson Univ, Dept Chem Engn, Potsdam, NY 13699 USA
[2] Clarkson Univ, Dept Chem, Potsdam, NY 13699 USA
关键词
chemometrics; multivariate calibration; pattern recognition; mixture resolution;
D O I
10.1016/S0003-2670(03)00944-9
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Chemometrics is the application of statistical and mathematical methods to chemical problems to permit maximal collection and extraction of useful information. The development of advanced chemical instruments and processes has led to a need for advanced methods to design experiments, calibrate instruments, and analyze the resulting data. For many years, there was the prevailing view that if one needed fancy data analyses, then the experiment was not planned correctly, but now it is recognized that most systems are multivariate in nature and univariate approaches are unlikely to result in optimum solutions. At the same time, instruments have evolved in complexity, computational capability has similarly advanced so that it has been possible to develop and employ increasing complex and computationally intensive methods. In this paper, the development of chemometrics as a subfield of chemistry and particularly analytical chemistry will be presented with a view of the current state-of-the-art and the prospects for the future will be presented. (C) 2003 Published by Elsevier B.V.
引用
收藏
页码:365 / 377
页数:13
相关论文
共 95 条
[1]  
[Anonymous], [No title captured]
[2]   SOURCE IDENTIFICATION OF BULK WET DEPOSITION IN FINLAND BY POSITIVE MATRIX FACTORIZATION [J].
ANTTILA, P ;
PAATERO, P ;
TAPPER, U ;
JARVINEN, O .
ATMOSPHERIC ENVIRONMENT, 1995, 29 (14) :1705-1718
[3]  
BOHACHEVSKY IO, 1986, TECHNOMETRICS, V28, P209
[4]   ARTIFICIAL NEURAL NETWORKS AS A MULTIVARIATE CALIBRATION TOOL - MODELING THE FE-CR-NI SYSTEM IN X-RAY-FLUORESCENCE SPECTROSCOPY [J].
BOS, A ;
BOS, M ;
VANDERLINDEN, WE .
ANALYTICA CHIMICA ACTA, 1993, 277 (02) :289-295
[5]  
Brereton R. G., 1990, Chemometrics-applications of mathematics and statistics to laboratory systems
[6]   CHEMOMETRICS AND SPECTRAL FREQUENCY SELECTION [J].
BROWN, PJ ;
SPIEGELMAN, CH ;
DENHAM, MC .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1991, 337 (1647) :311-322
[7]   ART 2-A - AN ADAPTIVE RESONANCE ALGORITHM FOR RAPID CATEGORY LEARNING AND RECOGNITION [J].
CARPENTER, GA ;
GROSSBERG, S ;
ROSEN, DB .
NEURAL NETWORKS, 1991, 4 (04) :493-504
[8]   MINICOMPUTER PROGRAM BASED ON ADDITIVITY RULES FOR ESTIMATION OF C-13-NMR CHEMICAL-SHIFTS [J].
CLERC, JT ;
SOMMERAUER, H .
ANALYTICA CHIMICA ACTA, 1977, 95 (1-2) :33-40
[9]  
Coomans D., 1986, POTENTIAL PATTERN RE
[10]  
Cristianini N, 2000, An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods