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Measurement of light stable isotope ratios by SIMS: Matrix effects for oxygen, carbon, and sulfur isotopes in minerals

机译:通过SIMS测量光稳定同位素比:矿物中氧,碳和硫同位素的基质效应

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摘要

Mass bias occurring during analysis of the light stable isotopes of oxygen, carbon, and sulfur in geological materials by secondary ionization mass spectrometry has been investigated. The effects of instrumental parameters (primary ion beam, secondary ion energy, and polarity) were evaluated by measuring sulfur isotope ratios in conductive sulfide minerals. The role of analyte chemical composition (matrix effect) on mass bias was investigated in sulfides (sulfur), silicates and oxides (oxygen), and carbonates (oxygen and carbon). For oxygen and carbon, various correlations between mass bias an matrix parameters have been identified. The application of several empirical models for prediction of oxygen isotopic mass bias indicates that for silicates, depending on mineral composition, bias can be predicted with an accuracy that is typically within two times that of the precision. However, extension of these models to other matrices has proved problematic, indicating that additional factors are important.
机译:研究了通过二次电离质谱分析地质材料中的氧,碳和硫的光稳定同位素过程中发生的质量偏差。通过测量导电性硫化物矿物中的硫同位素比,评估了仪器参数(一次离子束,二次离子能量和极性)的影响。在硫化物(硫),硅酸盐和氧化物(氧)以及碳酸盐(氧和碳)中研究了分析物化学成分(基质效应)对质量偏差的作用。对于氧气和碳,已经确定了质量偏差和基质参数之间的各种相关性。几种经验模型用于预测氧同位素质量偏差表明,对于硅酸盐而言,取决于矿物成分,可以以通常在精度的两倍以内的精度来预测偏差。但是,将这些模型扩展到其他矩阵已证明是有问题的,这表明其他因素很重要。

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