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A multiple regression method for estimating Li in tourmaline from electron microprobe analyses

Published online by Cambridge University Press:  02 January 2018

A. Pesquera ,
P. P. Gil-Crespo ,
F. Torres-Ruiz ,
J. Torres-Ruiz  and
E. Roda-Robles
A. Pesquera*
Affiliation:
Departamento de Mineralogía y Petrología, Universidad del País Vasco (UPV/EHU) P.O. Box 644, 48080 Bilbao, Spain
P. P. Gil-Crespo
Affiliation:
Departamento de Mineralogía y Petrología, Universidad del País Vasco (UPV/EHU) P.O. Box 644, 48080 Bilbao, Spain
F. Torres-Ruiz
Affiliation:
Departamento de Estadística e Investigación Operativa, Facultad de Ciencias, Universidad de Granada, Avenida Fuentenueva, s/n, 18071 Granada, Spain
J. Torres-Ruiz
Affiliation:
Departamento de Mineralogía y Petrología, Facultad de Ciencias, Universidad de Granada, Avenida Fuentenueva, s/n, 18071 Granada, Spain
E. Roda-Robles
Affiliation:
Departamento de Mineralogía y Petrología, Universidad del País Vasco (UPV/EHU) P.O. Box 644, 48080 Bilbao, Spain
*
*E-mail: [email protected]
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Abstract

Lithium cannot be determined by electron microprobe, but it may be an essential component in tourmalinesupergroup minerals. Therefore, its estimation is important for structural formula calculation and nomenclature. In this paper, we present a method to estimate Li content in tourmaline from microprobe data based on a multiple linear-regression model, which is not reliant on a particular normalization scheme. The results derived from this model are reasonably accurate, particularly for low-Mg tourmalines (<2 wt.% MgO) with Li2O contents higher than ∼0.3 wt.%. Furthermore, it provides a better fitness compared with estimations of Li assuming that Li fills any cation deficiency at the Y site.

Keywords

tourmalinelithium contentmultiple regression method
Type
Research Article
Information
Mineralogical Magazine , Volume 80 , Issue 6 , October 2016 , pp. 1129 - 1133
Copyright
Copyright © The Mineralogical Society of Great Britain and Ireland 2016

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