作者: S. Kokot , G. King , H.R. Keller , D.L. Massart
DOI: 10.1016/0003-2670(92)85376-H
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摘要: Abstract Principal component analysis (PCA) and the multicriteria decision making methods, PROMETHEE GAIA, were used to select a suitable microwave digestion method for metal of soil samples. When residuals matrix derived from Cu, Pb, Co, Mn Zn analyses 18 different digests NBS 2704 SRM, was subjected PCA ranking, two prefered methods isolated. This ranking together with oven settings digest acid composition then as variables. The corresponding data coupled visualisation technique, GAIA. illustrated relationship between practical variables perfromance leading selection most method.