Data analysis of pyrolysis—chromatograms by means of simca pattern recognition
作者： Göran Blomquist , Erik Johansson , Bengt Söderström , Svante Wold
DOI: 10.1016/0165-2370(79)80005-4
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摘要: The variability between repetitive pyrolysis—chromatograms of the same type samples is not totally random, but can in part be modelled by a principal components (PC) model. This makes it possible to use efficiently pyrolysis-chromatograms known types obtain separate PC models for each type. Samples unknown origin then classified according which their are most similar. The methodology illustrated using pyrolysis—gas chromatograms two species fungal genus Penicillium.
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