Autocorrelation infrared analysis of mineralogical samples: The influence of user controllable experimental parameters

Autocoffelation infrared (ACIR) analysis is based upon the application of the autocorrelation function corr(alpha, omega') = integral(infinity)(-infinity)(omega + omega')alpha(omega) d omega) to standard Fourier transform infrared (FTIR) transmission spectra. We present a rigorous examination of the effect of experimental parameters such as dilution ratio, spectral resolution, grinding time and pressing conditions upon the ACIR analysis of haematite. Results were found to vary by less than 4.5% irrespective of sample preparation, instrumental and data collection parameters. For a series of perovskite samples, the relationship between the measured effective linewidth and material composition appears to be reproducible, even though the absolute magnitudes of Delta corr values do not. Our results further indicate that the ACIR technique is indeed valid for comparative analysis of synthetic sample sequences that vary slightly in composition or structural state, provided that primary spectra are all recorded by the same instrument. Crown Copyright (c) 2007 Published by Elsevier B.V. All rights reserved.