PubMed · 8798216
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S Doonan. 1996. Practical column chromatography.. https://doi.org/10.1385/0-89603-336-8%3A381
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Chromatographic discs were investigated for their potential to substitute for the hitherto used cartridges in heterogeneous flow injection analysis. Originally designed for fast high performance liquid chromatography (HPLC) of biopolymers, the discs combine reliability with speed and resolution. This together with their price and their long-standing time made them attractive for use in flow injection analysis. The base material of the discs is a glycidyl methacrylate-co-ethylene dimethacrylate (GMA-EDMA) co-polymer. The epoxy groups inherent to this base structure can be used for immobilization purposes. In this first demonstration, antibodies were immobilized and the resulting affinity discs used for the fast analysis (< 5 min) of protein G from cell lysate of recombinant Escherichia coli. A linear calibration curve over several orders of magnitude as well as excellent reproducibility and correlation with data produced by conventional protein assay were obtained.
A data analysis method is proposed for identification and for confirmation of classification schemes, based on single- or multiple-wavelength chromatographic profiles. The proposed method works directly on the chromatographic data without data reduction procedures such as peak area or retention index calculation. Chromatographic matrices from analysis of previously identified samples are used for generating a reference chromatogram for each class, and unidentified samples are compared with all reference chromatograms by calculating a resemblance measure for each reference. Once the method is configured, subsequent sample identification is automatic. As an example of a further development, it is shown how the method allows identification of characteristic sample components by local similarity calculations thus finding common components within a given class as well as component differences between classes from the reference chromatograms. This feature is a valuable aid in selecting components for further analysis. The identification method is demonstrated on two data sets: 212 isolates from 41 food-borne Penicillium species and 61 isolates from 6 soil-borne Penicillium species. Both data sets yielded over 90% agreement with accepted classifications. The method is highly accurate and may be used on all sorts of chromatographic profiles. Characteristic component analysis yielded results in good agreement with existing knowledge of characteristic components, but also succeeded in identifying new components as being characteristic.
The peak capacity was measured for an ultrahigh-pressure gradient elution chromatogram of a fluorescently tagged tryptic digest of ovalbumin. The peak widths in the chromatogram were determined by measuring the peak height and the second derivative at the peak maximum. This approach for measuring peak widths was programmed into a computer, and the software accurately determined the general progression of peak widths by measuring 47 peaks throughout the chromatogram in under 10 s. Peak capacity was determined by taking the definite integral of the plot of reciprocal base peak width versus retention time. This calculation of peak capacity is a linear transformation with respect to separation space, so the method is more rigorously accurate than previous methods. The peak capacity for the chromatogram was calculated to be 316.