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- W2085526429 abstract "The classification of chromatographic columns with bonded octadecyl groups in conventional reversed-phase high-performance liquid chromatography (RP-HPLC) and in micellar liquid chromatography (MLC) was completed using unsupervised pattern recognition methods: principal component analysis, cluster analysis, and self-organized Kohonen neural networks (KNN). KNN provided an unbiased classification of the chromatographic columns and can be used as a powerful tool for columns selection in routine analysis. Despite the covering of C18 bonded silica surface of stationary phase with surfactant monomers in MLC, which strongly affect the compounds retention, the selectivity of the test compounds separation in MLC as well as in conventional RP-HPLC is affected by the sorbent properties. Thus, elucidation of columns similarity in both HPLC modes is of primary importance for developing robust analytical methods and selection of the analogous sorbents." @default.
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- W2085526429 date "2014-01-28" @default.
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- W2085526429 title "UNSUPERVISED CLASSIFICATION OF CHROMATOGRAPHIC COLUMNS IN MICELLAR AND CONVENTIONAL REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY" @default.
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- W2085526429 doi "https://doi.org/10.1080/10826076.2013.765456" @default.
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