LA-ICPMS analyses of silicate melt inclusions in co-precipitated minerals: Quantification, data analysis and mineral/melt partitioning

Zajacz, Zoltán; Halter, Werner E.

doi:10.1016/j.gca.2006.11.001

Cited by 82 publications

(59 citation statements)

References 40 publications

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“…The method was later applied to recrystallized silicate melt inclusions in minerals with simple chemical compositions, such as quartz and topaz [172,173], and then to the unexposed and recrystallized melt inclusions in chemically complex minerals, such as amphibole, olivine, pyroxene, plagioclase and apatite [12,[174][175][176][177][178][179]. At present, two analysis strategies have been generally used to analyze multiphase silicate melt inclusions using LA-ICP-MS: (1) The inclusion can be first homogenized and quenched to a homogenous glass and then ablated using a spot size smaller than the inclusion.…”

Section: Individual Melt Inclusion and Fluid Inclusionmentioning

confidence: 99%

“…However, the homogenization of silicate melt inclusions can often be rather difficult or impossible due to potential decrepitation or leakage of the silicate melt inclusions upon heating. In addition, both diffusive exchange of certain elements between the host and the silicate melt inclusion and, if the homogenization temperature is excessively high, possible partial melting of the host mineral might modify the composition of the inclusion [175]. Furthermore, a sulfide in an inclusion is difficult to quench into glass using a fast cooling rate.…”

Section: Individual Melt Inclusion and Fluid Inclusionmentioning

confidence: 99%

“…(2) Ablation of the entire silicate melt inclusion along with its host mineral and subsequent deconvolution of the mixed ablation signal can be used [12,174,175]. This approach offers a unique opportunity to analyze the bulk composition of the unexposed and recrystallized silicate melt inclusion without homogenization through heating and greatly increases the number of inclusions that can be analyzed in the same crystal.…”

Section: Individual Melt Inclusion and Fluid Inclusionmentioning

confidence: 99%

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Applications of LA-ICP-MS in the elemental analyses of geological samples

Liu

et al. 2013

Chin. Sci. Bull.

103

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Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), which is a rapidly developing analytical technique for the analyses of trace elements and isotopes, plays an important role in advancing the study of Earth science, especially with respect to micro-geochemistry. This article reviews the application of LA-ICP-MS in the elemental analysis of solid geological samples. Although LA-ICP-MS has been widely used in the spatial resolution analysis of element compositions and rapid bulk analysis of whole-rock and soil samples, the analysis accuracy is restricted by numerous factors, including the instrumental conditions, the elemental fractionation and matrix effects, the lack of sufficient matrix-matched reference materials, and the strategies for quantitative calibration and sensitivity drift correction. According to the type of samples and the analyte elements, the analysis accuracy can be improved through the optimization of instrument conditions and the adoption of suitable correction strategies and reference materials. LA-ICP-MS, geological sample, elemental analysis, quantitative strategy Citation:Liu Y S, Hu Z C, Li M, et al. Applications of LA-ICP-MS in the elemental analyses of geological samples.

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Section: Individual Melt Inclusion and Fluid Inclusionmentioning

confidence: 99%

Section: Individual Melt Inclusion and Fluid Inclusionmentioning

confidence: 99%

Section: Individual Melt Inclusion and Fluid Inclusionmentioning

confidence: 99%

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Applications of LA-ICP-MS in the elemental analyses of geological samples

Liu

et al. 2013

Chin. Sci. Bull.

103

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“…Recent advances in geochronology using LA-ICP-MS, Pb isotope analysis, and mapping of sulphur isotopes are covered elsewhere in this Special Issue ( [8,12,13], respectively). Due to space limitations, LA-ICP-MS analysis of fluid inclusions (e.g., [14]), melt inclusions (e.g., [15]), and LA-ICP-MS trace element geothermobarometery (e.g., Ti-in-zircon [16], or Zr-in-titanite [17]), are also not covered here despite their great relevance to understanding the genesis of hydrothermal ore deposits.…”

Section: Introductionmentioning

confidence: 99%

Trace Element Analysis of Minerals in Magmatic-Hydrothermal Ores by Laser Ablation Inductively-Coupled Plasma Mass Spectrometry: Approaches and Opportunities

et al. 2016

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Laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) has rapidly established itself as the method of choice for generation of multi-element datasets for specific minerals, with broad applications in Earth science. Variation in absolute concentrations of different trace elements within common, widely distributed phases, such as pyrite, iron-oxides (magnetite and hematite), and key accessory minerals, such as apatite and titanite, can be particularly valuable for understanding processes of ore formation, and when trace element distributions vary systematically within a mineral system, for a vector approach in mineral exploration. LA-ICP-MS trace element data can assist in element deportment and geometallurgical studies, providing proof of which minerals host key elements of economic relevance, or elements that are deleterious to various metallurgical processes. This contribution reviews recent advances in LA-ICP-MS methodology, reference standards, the application of the method to new mineral matrices, outstanding analytical uncertainties that impact on the quality and usefulness of trace element data, and future applications of the technique. We illustrate how data interpretation is highly dependent on an adequate understanding of prevailing mineral textures, geological history, and in some cases, crystal structure.

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“…Lee et al (2012) Table S1 for the data list). Natural phenocryst-matrix D Cu values from Audetat and Pettke (2006), Bougault and Hekinian (1974), De Hoog et al (2001), Dostal et al (1983), Ewart et al (1973), Ewart and Griffin (1994), Halter et al(2004), Kloeck and Palme (1987), Lee et al (2012), Paster et al (1974), Pedersen (1979), Zack and Brumm (1998), Zajacz and Halter (2007). Experimental D Cu values from Adam and Green (2006), Fellows and Canil (2012), Gaetani and Grove (1997), Hart and Dunn (1993), Klemme et al (2006), Yurimoto and Ohtani (1992).…”

Section: Introductionmentioning

confidence: 99%