Abstract
The method of two-dimensional covariance mapping of infrared spectra was extended by a statistical test, which verified the statistical significance of the observed covariance. Mathematical simulation experiments with infrared peaks showed that two-dimensional covariance mapping was effective in highlighting the changes in regions of infrared spectra. Two-dimensional covariance mapping did not increase the spectral resolution of the spectra, and were most successful when the spectra consisted of well-resolved peaks. A two-dimensional statistical covariance map was used to show that fly ash, an aluminosilicate, underwent several changes during heating at 860 and 1000 °C. Changes in the convoluted fly ash infrared spectra could not be interpreted in a straightforward way since changes in only one peak gave rise to several areas of change within the infrared spectra.
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