Fourier-transformed infrared absorption spectra are compressed by principal-component analysis. Searches using the compressed data demonstrate the success of the compression. A search technique utilizing principal components in a prefilter selection produces the most efficient infrared library search method.
Three different commercial FT-IR spectrometers were used to collect GC/FT-IR data for assessing the effects of interferometer stability on the optimal parameters to use for Gram-Schmidt chromatographic reconstructions. Disagreements in the literature regarding the optimum region of the interferogram to use for vector reconstructions are shown to result from interferometer stability differences. It is determined that the use of double-sided vectors in the Gram-Schmidt calculation simplifies the choice of reconstruction parameters. Additionally, it is demonstrated that the Gram-Schmidt algorithm outperforms integrated spectral absorbance methods for any logical choice of Gram-Schmidt parameters.
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