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• W2037161670 abstract "Simulated and experimental data were used to measure the effectiveness of common interpolation techniques during chromatographic alignment of comprehensive two-dimensional liquid chromatography-diode array detector (LC×LC-DAD) data. Interpolation was used to generate a sufficient number of data points in the sampled first chromatographic dimension to allow for alignment of retention times from different injections. Five different interpolation methods, linear interpolation followed by cross correlation, piecewise cubic Hermite interpolating polynomial, cubic spline, Fourier zero-filling, and Gaussian fitting, were investigated. The fully aligned chromatograms, in both the first and second chromatographic dimensions, were analyzed by parallel factor analysis to determine the relative area for each peak in each injection. A calibration curve was generated for the simulated data set. The standard error of prediction and percent relative standard deviation were calculated for the simulated peak for each technique. The Gaussian fitting interpolation technique resulted in the lowest standard error of prediction and average relative standard deviation for the simulated data. However, upon applying the interpolation techniques to the experimental data, most of the interpolation methods were not found to produce statistically different relative peak areas from each other. While most of the techniques were not statistically different, the performance was improved relative to the PARAFAC results obtained when analyzing the unaligned data." @default.
• W2037161670 created "2016-06-24" @default.
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• W2037161670 creator A5035307669 @default.
• W2037161670 date "2011-10-01" @default.
• W2037161670 modified "2023-10-14" @default.
• W2037161670 title "Investigation of interpolation techniques for the reconstruction of the first dimension of comprehensive two-dimensional liquid chromatography–diode array detector data" @default.
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• W2037161670 doi "https://doi.org/10.1016/j.aca.2011.06.022" @default.
• W2037161670 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3740508" @default.
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