Characterizing magnetite reference material for secondary ion mass spectroscopy (SIMS)

Author(s):  
Malin Andersson ◽  
Valentin Troll ◽  
Martin Whitehouse ◽  
Frances Deegan ◽  
Karin Högdahl ◽  
...  

<p>Sweden is responsible for over 90% of the iron ore production in the European Union, the bulk of which originates from the Kiruna-Malmberget region in northern Sweden, the type locality for Kiruna-type apatite-iron oxide ores. Despite thorough investigations of these long known deposits, their origin is still debated. Currently, two main formation theories are discussed: formation by orthomagmatic processes (Nyström & Henriquez 1994; Troll et al. 2019), versus hydrothermal processes (Hitzman et al. 1992; Smith et al. 2013).</p><p>Secondary ion mass spectrometry (SIMS) analysis allows gathering of more detailed information regarding intra-crystal variations, such as core to rim growth zonations, than bulk analysis do. Measurements of δ<sup>56</sup>Fe and δ<sup>18</sup>O in Kiruna-type magnetites by SIMS would therefore aid in the determination of their main formation process. However, there are conflicting studies regarding crystallographic orientation effects of δ<sup>56</sup>Fe and δ<sup>18</sup>O in magnetite, and while some authors found that the isotope ratios varied depending on how the crystal was oriented (e.g. Huberty et al. 2010), others found no such effects (e.g. Marin-Carbonne et al. 2011). This research project thus aims to further examine any effects of crystal orientation on Fe and O isotope signatures and identify a suitable magnetite reference material for SIMS analysis. To enable comparison between isotope ratios and crystal orientations, the sample orientations will therefore be determined by electron backscatter diffraction (EBSD) prior to SIMS analysis. SIMS analysis require reference material mounted next to the sample for continuous corrections during analysis. Different magnetite samples will now be tested for usage as reference materials. If a homogeneous reference material is found, future studies can utilise it for further investigations of the formation of Kiruna-type magnetite, as well as any other research concerning δ<sup>56</sup>Fe or δ<sup>18</sup>O in magnetite.</p><p>Hitzman, M.W., Oreskes, N., & Einaudi, M.T. (1992). Geological characteristics and tectonic setting of proterozoic iron oxide (Cu-U-Au-REE) deposits. Precambrian Research. Precambrian Metallogeny Related to Plate Tectonics, vol. 58 (1), pp. 241–287. DOI:10.1016/0301-9268(92)90121-4.</p><p>Huberty, J.M., Kita, N.T., Kozdon, R., Heck, P.R., Fournelle, J.H., Spicuzza, M.J., Xu, H., & Valley, J. W. (2010). Crystal orientation effects in 18O for magnetite and hematite by SIMS. Chemical Geology, vol. 276 (3), pp. 269–283. DOI:10.1016/j.chemgeo.2010.06.012.</p><p>Marin-Carbonne, J., Rollion-Bard, C., & Luais, B. (2011). In-situ measurements of iron isotopes by SIMS: MC-ICP-MS intercalibration and application to a magnetite crystal from the Gunflint chert. Chemical Geology, vol. 285 (1), pp. 50–61. DOI:10.1016/j.chemgeo.2011.02.019.</p><p>Nyström, J.O. & Henriquez, F. (1994). Magmatic features of iron ores of the Kiruna type in Chile and Sweden; ore textures and magnetite geochemistry. Economic Geology, vol. 89(4), pp. 820–839. DOI:10.2113/gsecongeo.89.4.820.</p><p>Smith, M.P., Gleeson, S.A., & Yardley, B.W.D. (2013). Hydrothermal fluid evolution and metal transport in the Kiruna District, Sweden: Contrasting metal behaviour in aqueous and aqueous–carbonic brines. Geochimica et Cosmochimica Acta, vol. 102, pp. 89–112. DOI:10.1016/j.gca.2012.10.015.</p><p>Troll, V.R., Weis, F.A., Jonsson, E., Andersson, U.B., Majidi, S.A., Högdahl, K., Harris, C., Millet, M.-A., Chinnasamy, S.S., Kooijman, E., &Nilsson, K.P. (2019). Global Fe–O isotope correlation reveals magmatic origin of Kiruna-type apatite-iron-oxide ores. Nature Communications, vol. 10(1), pp. 1712. DOI:10.1038/s41467-019-09244-4.</p>

Author(s):  
Yanhua Huang ◽  
Lei Zhu ◽  
Kenny Ong ◽  
Hanwei Teo ◽  
Younan Hua

Abstract Contamination in the gate oxide layer is the most common effect which cause the gate oxide integrate (GOI) issue. Dynamic Secondary Ion Mass Spectrometry (SIMS) is a mature tool for GOI contamination analysis. During the sample preparation, all metal and IDL layers above poly should be removed because the presence of these layers added complexity for the subsequent SIMS analysis. The normal delayering process is simply carried out by soaking the sample in the HF solution. However, the poly surface is inevitably contaminated by surroundings even though it is already a practice to clean with DI rinse and tape. In this article, TOFSIMS with low energy sputter gun is used to clean the sample surface after the normal delayering process. The residue signals also can be monitored by TOF SIMS during sputtering to confirm the cross contamination is cleared. After that, a much lower background desirable by dynamic SIMS. Thus an accurate depth profile in gate oxide layer can be achieved without the interference from surface.


1992 ◽  
Vol 58 (1-4) ◽  
pp. 241-287 ◽  
Author(s):  
Murray W. Hitzman ◽  
Naomi Oreskes ◽  
Marco T. Einaudi

2017 ◽  
Vol 460 ◽  
pp. 15-24 ◽  
Author(s):  
C.V. Ullmann ◽  
R. Frei ◽  
C. Korte ◽  
C. Lüter

BioResources ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 5581-5599
Author(s):  
Hong Yan Mou ◽  
Shubin Wu ◽  
Pedro Fardim

Time-of-flight secondary-ion mass spectrometry (ToF-SIMS) is an advanced surface-sensitive technique that can provide both spectral and imaging information about materials. Recently, ToF-SIMS has been used for advanced studies of lignocellulosic biomass. In the current article, the application of ToF-SIMS to the characterization of the surface chemical composition and distribution of biomass components in lignocelluloses is reviewed. Moreover, extended applications of ToF-SIMS in the study of pretreatments, modification of biomaterials, and enzyme activity of lignocellulosic materials are presented and discussed. Sample preparation prior to ToF-SIMS analysis and subsequent interpretation of results is a critical factor in ensuring reliable results. The focus of this review is to give a comprehensive understanding of and offer new hints about the effects of processing conditions on the surface chemistry of lignocellulosic biomass.


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