In the present work, we report the chemical composition of representative emerald crystals from some of the most important worldwide deposits. Major and trace elements were investigated using Electron Microprobe Analysis (EMPA) and Secondary Ion Mass Spectrometry (SIMS) techniques. Binary, ternary and spider diagrams along with statistical analysis, i.e., Principal Component Analysis (PCA), were used to discriminate each deposit with high reliability. PCA of SiO2, Al2O3, V, Sc, B, Li content identified distinct groups. The use of binary and ternary diagrams contributed to discriminate among emerald crystals from various deposits, which are included in the same clusters of the PCA analysis. In addition, the geochemical features of each group were linked to the geological environment and genetic processes which leaded to emerald formation. In particular, the emeralds related to granitic-pegmatitic intrusions (Type-1) or those occurring in environments controlled by tectonic events (Type-2) were distinguished using the concentrations of major and trace elements. The results of this study can contribute to improve the existing genetic models and classification schemes as well as to identify useful geochemical fingerprints for provenance purposes.

Major and trace element geochemistry of emerald from several deposits. Implications for genetic models and classification schemes / Aurisicchio, Carlo; Conte, Aida M.; Medeghini, Laura; Ottolini, Luisa; DE VITO, Caterina. - In: ORE GEOLOGY REVIEWS. - ISSN 0169-1368. - STAMPA. - 94:(2018), pp. 351-366. [10.1016/j.oregeorev.2018.02.001]

Major and trace element geochemistry of emerald from several deposits. Implications for genetic models and classification schemes

Laura Medeghini;Caterina De Vito
2018

Abstract

In the present work, we report the chemical composition of representative emerald crystals from some of the most important worldwide deposits. Major and trace elements were investigated using Electron Microprobe Analysis (EMPA) and Secondary Ion Mass Spectrometry (SIMS) techniques. Binary, ternary and spider diagrams along with statistical analysis, i.e., Principal Component Analysis (PCA), were used to discriminate each deposit with high reliability. PCA of SiO2, Al2O3, V, Sc, B, Li content identified distinct groups. The use of binary and ternary diagrams contributed to discriminate among emerald crystals from various deposits, which are included in the same clusters of the PCA analysis. In addition, the geochemical features of each group were linked to the geological environment and genetic processes which leaded to emerald formation. In particular, the emeralds related to granitic-pegmatitic intrusions (Type-1) or those occurring in environments controlled by tectonic events (Type-2) were distinguished using the concentrations of major and trace elements. The results of this study can contribute to improve the existing genetic models and classification schemes as well as to identify useful geochemical fingerprints for provenance purposes.
2018
emerald; geochemistry; EMPA; SIMS; PCA; provenance; genetic classification
01 Pubblicazione su rivista::01a Articolo in rivista
Major and trace element geochemistry of emerald from several deposits. Implications for genetic models and classification schemes / Aurisicchio, Carlo; Conte, Aida M.; Medeghini, Laura; Ottolini, Luisa; DE VITO, Caterina. - In: ORE GEOLOGY REVIEWS. - ISSN 0169-1368. - STAMPA. - 94:(2018), pp. 351-366. [10.1016/j.oregeorev.2018.02.001]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1077394
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