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- W2018519139 abstract "Repetitive samples of three strains of the mould Penicillium were subjected to pyrolysis-gas chromatography (Py-GC). From the chromatograms, 26 peak heights were used in a subsequent SIMCA pattern recognition analysis. This data analysis gives a marked improvement in the classification of the samples (100% correct, 85% unique) in comparison with the traditional analysis based on the average chromatogram of each class (92% correct, 45% unique). The data analytical method is described in detail using the Py-GC data as an illustration." @default.
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- W2018519139 date "1979-05-01" @default.
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- W2018519139 title "Classification of fungi by means of pyrolysis-gas chromatography-pattern recognition" @default.
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- W2018519139 doi "https://doi.org/10.1016/s0021-9673(01)80442-8" @default.
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