“…The average detection limit was 1.7 ppm Li. This instrumentation was used to analyse all other samples (Breiter et al, 2022(Breiter et al, , 2023a(Breiter et al, , 2023b. In all cases, Li contents were quantified using standards SRM NIST 610 and 612, and Si and Al as internal reference elements.…”
Section: Methodsmentioning
confidence: 99%
“…usually 5 analyses per one sample. In petrological studies from Argemela (Breiter et al , 2022) and the Bohemian Massif (unpublished), one EPMA and one laser ablation spot, successively in exactly the same place were realised, and coupled data from each spot are presented here, in total giving 560 analyses plotted in the figures.…”
Section: Methodsmentioning
confidence: 99%
“…The datasets evaluated comprise micas from: representative granitoids of the Bohemian Massif, Czech Republic, ranging from phlogopites from ultramafic dykes to zinnwaldites from stanniferous rare-metal granites (RMG) of the Nejdek and Cínovec plutons (Breiter 2017a(Breiter , 2019; muscovites to lepidolites from the Argemela rare-metal granite, Portugal (Breiter et al, 2022); muscovites from the Panasqueira tungsten deposit, Portugal (Breiter et al, 2023a); zinnwaldites to lepidolites from the Beauvoir raremetal granite, France; biotite, muscovite, phengite, zinnwaldite and lepidolite from the Orlovka Ta deposit, Siberia; biotite to zinnwaldite from the Wiborg batholith, Finland; and biotite to lepidolite from the Madeira pluton, Brazil (all in Breiter et al, 2023b). Though the Nejdek, Argemela, Panasqueira and Beauvoir plutons represent strongly peraluminous P-rich granites, the Cínovec, Wiborg and Orlovka plutons represent only slightly peraluminous P-poor post-orogenic granites.…”
Section: Samplesmentioning
confidence: 99%
“…This paper is based on an extensive set of complex local analyses obtained in our labs in the past years (Breiter et al, 2017a(Breiter et al, , 2019(Breiter et al, , 2022(Breiter et al, , 2023a(Breiter et al, , 2023b. The objectives are to show (1) the bias in Li content estimations according to the Tischendorf´s proposals; and (2) the limits of using estimated values in petrological practice.…”
Section: Introductionmentioning
confidence: 99%
“…A combination of EPMA with ion microprobe Li analyses was used by Henderson et al (1989), Černý et al (1995) and Charoy et al (1995). A combination of EPMA with LA–ICP–MS has gradually become the standard operating procedure for in situ complex Li-mica analyses (Roda-Robles et al , 2012, Petrík et al , 2014, Breiter et al , 2017a, 2019, 2022, 2023a, 2023b).…”
Micas are the most common hosts of lithium in granitoid igneous rocks. Unfortunately, their Li contents cannot be determined by electron-probe microanalysis (EPMA) which is the most common method of mineral analysis. In an effort to avoid the use of other, technically more complex and expensive methods, several empirical schemes for the estimation of Li-contents from EPMA data have been developed. The methods proposed by Tischendorf (Mineralogical Magazine, 1997) have found the widest application. After 25 years of common usage, we have evaluated these methods by direct Li determination using laser ablation-inductively coupled plasma-mass spectrometry (LA–ICP–MS). Approximately 3000 spot analyses of Li in micas from eight areas worldwide obtained by LA–ICP–MS were compared with the values yielded by the methods of Tischendorf. We conclude that none of the lithium estimation methods can compensate fully for a real local analysis by LA–ICP–MS or secondary-ion mass spectrometry (SIMS). Generally, SiO2-based estimation for trioctahedral micas provides a better match to the analysed values than F-based estimation for dioctahedral micas. The Rb-based estimation for dioctahedral micas does not provide acceptable results. The usage of averaged Si- and F-based estimations can be accepted in common petrological studies for a general characterisation of mica species. Large errors of individual spot estimations preclude their usage in detailed mineralogical studies.
“…The average detection limit was 1.7 ppm Li. This instrumentation was used to analyse all other samples (Breiter et al, 2022(Breiter et al, , 2023a(Breiter et al, , 2023b. In all cases, Li contents were quantified using standards SRM NIST 610 and 612, and Si and Al as internal reference elements.…”
Section: Methodsmentioning
confidence: 99%
“…usually 5 analyses per one sample. In petrological studies from Argemela (Breiter et al , 2022) and the Bohemian Massif (unpublished), one EPMA and one laser ablation spot, successively in exactly the same place were realised, and coupled data from each spot are presented here, in total giving 560 analyses plotted in the figures.…”
Section: Methodsmentioning
confidence: 99%
“…The datasets evaluated comprise micas from: representative granitoids of the Bohemian Massif, Czech Republic, ranging from phlogopites from ultramafic dykes to zinnwaldites from stanniferous rare-metal granites (RMG) of the Nejdek and Cínovec plutons (Breiter 2017a(Breiter , 2019; muscovites to lepidolites from the Argemela rare-metal granite, Portugal (Breiter et al, 2022); muscovites from the Panasqueira tungsten deposit, Portugal (Breiter et al, 2023a); zinnwaldites to lepidolites from the Beauvoir raremetal granite, France; biotite, muscovite, phengite, zinnwaldite and lepidolite from the Orlovka Ta deposit, Siberia; biotite to zinnwaldite from the Wiborg batholith, Finland; and biotite to lepidolite from the Madeira pluton, Brazil (all in Breiter et al, 2023b). Though the Nejdek, Argemela, Panasqueira and Beauvoir plutons represent strongly peraluminous P-rich granites, the Cínovec, Wiborg and Orlovka plutons represent only slightly peraluminous P-poor post-orogenic granites.…”
Section: Samplesmentioning
confidence: 99%
“…This paper is based on an extensive set of complex local analyses obtained in our labs in the past years (Breiter et al, 2017a(Breiter et al, , 2019(Breiter et al, , 2022(Breiter et al, , 2023a(Breiter et al, , 2023b. The objectives are to show (1) the bias in Li content estimations according to the Tischendorf´s proposals; and (2) the limits of using estimated values in petrological practice.…”
Section: Introductionmentioning
confidence: 99%
“…A combination of EPMA with ion microprobe Li analyses was used by Henderson et al (1989), Černý et al (1995) and Charoy et al (1995). A combination of EPMA with LA–ICP–MS has gradually become the standard operating procedure for in situ complex Li-mica analyses (Roda-Robles et al , 2012, Petrík et al , 2014, Breiter et al , 2017a, 2019, 2022, 2023a, 2023b).…”
Micas are the most common hosts of lithium in granitoid igneous rocks. Unfortunately, their Li contents cannot be determined by electron-probe microanalysis (EPMA) which is the most common method of mineral analysis. In an effort to avoid the use of other, technically more complex and expensive methods, several empirical schemes for the estimation of Li-contents from EPMA data have been developed. The methods proposed by Tischendorf (Mineralogical Magazine, 1997) have found the widest application. After 25 years of common usage, we have evaluated these methods by direct Li determination using laser ablation-inductively coupled plasma-mass spectrometry (LA–ICP–MS). Approximately 3000 spot analyses of Li in micas from eight areas worldwide obtained by LA–ICP–MS were compared with the values yielded by the methods of Tischendorf. We conclude that none of the lithium estimation methods can compensate fully for a real local analysis by LA–ICP–MS or secondary-ion mass spectrometry (SIMS). Generally, SiO2-based estimation for trioctahedral micas provides a better match to the analysed values than F-based estimation for dioctahedral micas. The Rb-based estimation for dioctahedral micas does not provide acceptable results. The usage of averaged Si- and F-based estimations can be accepted in common petrological studies for a general characterisation of mica species. Large errors of individual spot estimations preclude their usage in detailed mineralogical studies.
Core samples recovered from exploration boreholes and granite/greisen outcrops at the Panasqueira world-class tungsten deposit in central Portugal were subjected to chemical analyses and petrographic studies. We present a geochemical dataset and the trace element compositions of quartz and micas from a large part of the unexposed Panasqueira granitic pluton. Our data suggest that the hidden granite body is more complicated than previously believed. It consists of a flat cupola of porphyritic granite with only traces of mineralization at Rio and a steep stock of greisenized leucogranite surrounded by a swarm of flat quartz–muscovite veins rich in wolframite between Barroca Grande and Panasqueira. The contents of W (Sn, Nb, Ta) in muscovite markedly drop at a transition from the unmineralized greisen body to quartz veins. The W deposit was formed in three principal stages: (1) intrusion of porphyritic two-mica granite accompanied with local near-contact greisenization and uncommon quartz–wolframite veinlets; (2) intrusion of a more strongly fractionated leucogranite and formation of the cupola and apophyses; (3) circulation of hydrothermal fluids from deeper parts of the granite body into the cupola, greisenization, hydraulic fracturing and opening of flat structures in and outside the cupola and formation of ore veins.
A significant proportion of Europe’s lithium endowment is hosted by unconventional lithium resources such as rare-metal granites (RMG) of which the Beauvoir granite in France is a prime example. In such hard-rock deposits, where lithium is mostly hosted in micas (lepidolite, zinnwaldite), the ability to assess whether lithium can be extracted economically from the ore is essential and requires a comprehensive understanding of mineralogical properties and lithium deportment. Using three exploratory drill cores distributed along the North–South axis, a preliminary geometallurgical assessment of the granite has been conducted based on a combination of techniques including Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES), Atomic Adsorption Spectroscopy (AAS), Electron Probe Microanalysis (EPMA), Scanning Electron Microscope (SEM) coupled with automated mineralogy software, X-Ray Diffraction (XRD), optical microscope and sieving. Lithium distribution appears to be variable, reflecting the evolution of the granite, with higher mica content in the southern area and higher Li grade towards the center of the orebody. The size of micas in the assessed sample does not vary significantly. The grindability and liberation size of micas varies in the different zones investigated, PERC S being the most difficult to grind. There is always more than 50 wt% of the micas that are liberated in the samples when crushed to 1 mm. Indirect estimation of Li content based on EPMA and SEM analysis suggests that the content of lithium inside mica crystals could vary. If this estimation is confirmed by direct Li measurement, it for sure makes the calculations of the Li deportment more challenging.
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