SIMS analysis of volatiles in silicate glasses 1. Calibration, matrix effects and comparisons with FTIR
SIMS analysis of volatiles in silicate glasses 1. Calibration, matrix effects and comparisons with FTIR
复制标题
DOI：
10.1016/s0009-2541(01)00375-8
复制
发表时间：
2002-03-01
期刊：
影响因子：
3.9
通讯作者：
Newman, S
中科院分区：
文献类型：
--
作者：
Hauri, E;Wang, JH;Newman, S
本文介绍了用二次离子质谱仪(SIMS)测定火山玻璃中氢、碳、氟、硫和氯的丰度和同位素组成的微量分析技术。SIMS对总H2O和总二氧化碳丰度的测量与使用振动光谱技术(FTIR)对同一玻璃的测量结果进行了非常好的对比。典型的10分钟SIMS测量挥发性丰度是在单个抛光的样品上进行的，溅射一个直径15-30微米，深2-3微米的陨石坑，使用1-5×10(-9)克样品。检出限通常为30ppm H2O和3ppm二氧化碳，以及1ppm F、S和氯。火山玻璃中的DeltaD、Delta(13)C和Delta(34)S的测量目前是可重复性的，精度为千分之2-5%，这取决于元素的浓度。由于其空间选择性，SIMS方法允许从次生相携带的岩浆挥发性特征中分辨出来，这有时会困扰需要大量样本(数十至数百毫克)的传统真空提取方法。样品制备的简便性、快速分析和高灵敏度允许SIMS应用于小样品的挥发性分析，例如熔融夹杂物，在这些样品中，为了获得具有代表性的样品群，通常需要进行大量的单独分析。挥发性元素的丰度和同位素组合数据对与岩浆成因和演化有关的过程提供了耦合约束，包括脱气、岩浆污染、混合和来源变异性。(C)2002 Elsevier Science B.V.保留所有权利。
This paper describes microanalysis techniques using secondary ion mass spectrometry (SIMS) to measure the abundances and isotopic compositions of hydrogen, carbon, fluorine, sulfur and chlorine in volcanic glasses. SIMS measurement of total H2O and total CO2 abundances compare very well with measurements on the same glasses using vibrational spectroscopy techniques (FTIR). A typical 10-min SIMS measurement for volatile abundances is made on a singly polished specimen, sputtering a crater 15-30 mum in diameter and 2-3 mum deep, utilizing 1-5 x 10(-9) g of sample material. Detection limits are routinely < 30 ppm H2O < 3 ppm CO2, and < 1 ppm F, S and Cl. Measurements of deltaD, delta(13)C and delta(34)S in volcanic glasses are currently reproducible and accurate to 2-5 parts per thousand, depending on the concentration of the element. Because of their spatial selectivity, the SIMS methods allow resolution of magmatic volatile signatures from those carried by secondary phases, which can sometimes plague traditional vacuum extraction methods that require large amounts of sample (tens to hundreds of milligrams). Ease of sample preparation, rapid analysis and high sensitivity allow SIMS to be applied to volatile analysis of small samples such as melt inclusions, in which large numbers of individual analyses are often required in order to obtain a representative sample population. Combined abundance and isotopic composition data for volatile elements provide coupled constraints on processes relevant to magma genesis and evolution, including degassing, magma contamination, mixing, and source variability. (C) 2002 Elsevier Science B.V. All rights reserved.