| Literature DB >> 546872 |
G Blomquist, E Johansson, B Söderström, S Wold.
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.Mesh:
Year: 1979 PMID: 546872 DOI: 10.1016/s0021-9673(01)80442-8
Source DB: PubMed Journal: J Chromatogr