Mixture design design generation, PLS analysis, and model usage

被引:154
作者
Eriksson, L [1 ]
Johansson, E [1 ]
Wikström, C [1 ]
机构
[1] Umetri, S-90719 Umea, Sweden
关键词
design of experiments (DOE); mixture design; D-optimal design; projections to latent structures (PLS);
D O I
10.1016/S0169-7439(98)00126-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this tutorial article, an introduction to the basics of mixture design is provided. The discussion on mixture design is made from the experimenter's point of view, rather than from an elaborate theoretical perspective. Much emphasis is placed on 'how to think' when defining a mixture problem, and analyzing the resulting data. Also, a working strategy for mixture experimentation is proposed. This strategy relies heavily on important contributions from the chemometrics research field, notably the impact of the chemometric 'modelling' philosophy and its multivariate data analytical tools. In order to illustrate the introduced working strategy, two-mixture applications are outlined. The first example deals with tablet manufacturing and, partly, reflects the classical approach to mixture design based on regular mixture regions. The second example concerns the preparation of a good bubble mixture from which children may produce long-lasting bubbles. This application represents a contemporary chemometrics approach to mixture design when (1) the experimental region is irregular and (2) process and mixture factors are varied within the same experimental protocol. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1 / 24
页数:24
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