Predictive and interpolative biplots applied to canonical variate analysis in the discrimination of vegetable oils by their fatty acid composition

被引:11
|
作者
Alves, MR
Oliveira, MB
机构
[1] Univ Porto, Fac Farm, REQUIMTE, Serv Bromatol, P-4099030 Oporto, Portugal
[2] Inst Politecn Viana Castelo, ESTG, P-4901 Viana Do Castelo, Portugal
关键词
discriminant analysis; canonical variate analysis; predictive biplots; interpolative biplots; fatty acids; vegetable oils;
D O I
10.1002/cem.884
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The fatty acid profiles of 120 commercial unblended peanut, corn, soybean and sunflower vegetable oils and 17 commercial brands of blended edible oils were determined by HRGC/FID/capillary column, including several cis and trans isomers of mono-, di- and tri-unsaturated fatty acids as well as fatty acids with an odd number of carbon atoms. Although many statistical techniques may show some usefulness in the description and analysis of the data obtained, predictive biplots applied to canonical variate analysis prove to be a very useful way of carrying out interpretations and an important aid in building up models, while interpolative biplots display great advantages in the utilization of models for classification purposes on a day-to-day basis. Furthermore, these biplots require only a modest understanding of statistical tools, since all judgements are made regarding original fatty acids and original measuring units. Copyright (c) 2005 John Wiley & Sons, Ltd.
引用
收藏
页码:393 / 401
页数:9
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