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An application of profile fitting and CLAY++ for the quantitative representation (QR) of mixed-layer clay minerals

Published online by Cambridge University Press:  09 July 2018

P. Aparicio  and
R. E. Ferrell
P. Aparicio*
Affiliation:
Departamento de Cristalografía, Mineralogía y Q. Agrícola, Facultad de Química, Universidadde Sevilla, Apdo. 553, 41071 Seville, Spain
R. E. Ferrell*
Affiliation:
Department of Geology and Geophysics, Louisiana State University, E235 Howe Russell Geoscience Complex, Baton RougeLA 70803-4101, USA
*
*E-mail: [email protected]
†[email protected]
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Abstract

Clay mineral quantification by XRD is difficult when mixed-layer clay minerals and discrete clay types are both present. New procedures for peak decomposition and pattern simulation offer increased opportunities to obtain mineral abundance estimates. This proposed methodological sequence, for quantitative representation (QR) of complex clay samples, involves: (1) determination of layer type, mixed-layer proportion and order (R); (2) simulation of XRD patterns using MULCALC, an adaptation of NEWMOD; and (3) interpretation of the clay assemblage by fitting the whole pattern with CLAY++, a statistical program. The product is a QR of individual phases or a summation of layer types. The absence of quantitative reference standards means results cannot be checked for accuracy, but the statistical fit is highly reproducible and less prone to operator error. The QRs may be obtained with simulated or actual reference mineral patterns in the database. Results for freshwater marsh samples illustrate the approach.

Keywords

mixed-layer clay mineralsqualitative and quantitative analysispattern matchingprofile fitting
Type
Research Article
Information
Clay Minerals , Volume 36 , Issue 4 , December 2001 , pp. 501 - 514
Copyright
Copyright © The Mineralogical Society of Great Britain and Ireland 2001

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