Abstract
The paper describes a method for the quantitative comparison of slightly differing infrared spectra. The method is based on a comparison of the differences in absorbance of some selected band pairs which represent identification features of infrared spectra. An optimal combination of band pairs was chosen using two methods: a graphical method based on the validity of Beer's law (method I) and a purely statistical method (method II). The spectra characterized by the selected features were compared and the significance of differences between them was tested using the mathematical Hotelling's T 2 test. It was found that the method developed enables the quantitative and objective evaluation of the statistical significance of differences between compared spectra.
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