Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/49922
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Type: Journal article
Title: Autocorrelation infrared analysis of mineralogical samples: The influence of user controllable experimental parameters
Author: Blanch, A.
Quinton, J.
Lenehan, C.
Pring, A.
Citation: Analytica Chimica Acta, 2007; 590(2):145-150
Publisher: Elsevier Science BV
Issue Date: 2007
ISSN: 0003-2670
1873-4324
Statement of
Responsibility: 
Adam J. Blanch, Jamie S. Quinton, Claire E. Lenehan and Allan Pring
Abstract: Autocorrelation infrared (ACIR) analysis is based upon the application of the autocorrelation function corr(alpha,omega') = integral(-infinity)(infinity) alpha(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.
Description: Crown copyright © 2007 Published by Elsevier B.V.
DOI: 10.1016/j.aca.2007.03.030
Description (link): http://www.elsevier.com/wps/find/journaldescription.cws_home/502681/description#description
Appears in Collections:Aurora harvest
Earth and Environmental Sciences publications

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