Comparison of multivariate techniques for vapor-phase infrared spectra measured at different temperatures

Deru Qin; Peter R. Griffiths

doi:10.1117/12.166715

31 January 1994 Comparison of multivariate techniques for vapor-phase infrared spectra measured at different temperatures

Deru Qin, Peter R. Griffiths

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Proceedings Volume 2089, 9th International Conference on Fourier Transform Spectroscopy; (1994) https://doi.org/10.1117/12.166715
Event: Fourier Transform Spectroscopy: Ninth International Conference, 1993, Calgary, Canada

Abstract

Several multivariate techniques for simultaneously determining components with overlapping infrared spectral features in their vapor-phase infrared spectra are compared; partial least- squares (PLS) regression gives the best results. The effect of variations in the sample temperatures on multivariate quantitative analysis by vapor-phase infrared spectrometry using PLS regression is discussed, and a method of minimizing the quantification errors is described.

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Deru Qin and Peter R. Griffiths "Comparison of multivariate techniques for vapor-phase infrared spectra measured at different temperatures", Proc. SPIE 2089, 9th International Conference on Fourier Transform Spectroscopy, (31 January 1994); https://doi.org/10.1117/12.166715

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