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Predicting instrumental mass fractionation (IMF) of stable isotope SIMS analyses by response surface methodology (RSM) [Dataset]

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S1. CL+BSE images and representative mounts of the standards.pdf (1,205Mb)
S2.SIMS+EPMA+Fluorination.xlsx (125,2Kb)
S3. Response Surface Models.xlsx (714,7Kb)
S4. Response Surface Model construction.pdf (1,831Mb)
 
10.5821/data-2117-102417-1
 
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hdl:2117/102417

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Parcerisa Duocastella, DavidMés informacióMés informacióMés informació
Rossell Garriga, Josep MariaMés informacióMés informacióMés informació
Fàbrega Alsina, Carles
Gurenko, Andrey
Franke, Christine
Chair / Department / Institute
Universitat Politècnica de Catalunya. Departament d'Enginyeria Minera, Industrial i TIC
Document typeDataset
Defense date2017-02
PublisherUniversitat Politècnica de Catalunya
Version1
Rights accessOpen Access
CC0 1.0 Universal
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : CC0 1.0 Universal
Related publicationsFàbrega, C., Parcerisa, D., Rossell, Josep M., Gurenko, A., Franke, C. Predicting instrumental mass fractionation (IMF) of stable isotope SIMS analyses by response surface methodology (RSM). "Journal of analytical atomic spectrometry", 10 Febrer 2017.  http://hdl.handle.net/2117/100911

Parcerisa Duocastella, D. [et al.]. (2016). Geostandards of the Valentí Masachs Geology Museum [Dataset]. 1 v. Universitat Politècnica de Catalunya. https://doi.org/10.5821/data-2117-103444-1  http://hdl.handle.net/2117/103444

Fàbrega, C. [et al.]. (2018). Geochemical data of albitized profiles in Europe [Dataset]. 1 v. Universitat Politècnica de Catalunya.  http://hdl.handle.net/2117/114114

Fàbrega, C. [et al.]. Permian–Triassic red-stained albitized profiles in the granitic basement of NE Spain: evidence for deep alteration related to the Triassic palaeosurface. "International journal of Earth sciences", 1 Octubre 2019, vol. 108, núm. 7, p. 2325-2347.  http://hdl.handle.net/2117/170191
ProjectCIRCULACION DE FLUIDOS DURANTE LA EVOLUCION DE CUENCAS INVERTIDAS Y CINTURONES OROGENICOS: APLICACION EN EL ALMACENAMIENTO DE CO2 (AEI-PGC2018-093903-B-C22)
Abstract
Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables.
Description
The dataset contains four files. File S1 corresponds to cathodoluminescence and BSE images of standard minerals. File S2 contains geochemical data of mineral standards ans samples obtained by SIMS and EPMA. File S3 contains the parameters used to obtain response surface models of IMF in mineral standards. File S4 is a response surface methodology tutorial.
CitationParcerisa Duocastella, D. [et al.]. (2017). Predicting instrumental mass fractionation (IMF) of stable isotope SIMS analyses by response surface methodology (RSM) [Dataset]. 1 v. Universitat Politècnica de Catalunya. https://doi.org/10.5821/data-2117-102417-1 
URIhttp://hdl.handle.net/2117/102417
DOI10.5821/data-2117-102417-1
Collections
  • Research data - Dades de recerca [39]
  • GREMS - Grup de Recerca en Mineria Sostenible - Dataset [5]
  • CoDAlab - Control, Dades i Intel·ligència Artificial - Dataset [1]
  • Departament d'Enginyeria Minera, Industrial i TIC - Dataset [7]
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FilesDescriptionSizeFormatView
S1. CL+BSE imag ... ounts of the standards.pdf1,205MbPDFView/Open
S2.SIMS+EPMA+Fluorination.xlsx125,2KbMicrosoft Excel 2007 View/Open
S3. Response Surface Models.xlsx714,7KbMicrosoft Excel 2007 View/Open
S4. Response Surface Model construction.pdf1,831MbPDFView/Open

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