Barium Isotopic Compositions of Geological Reference Materials

Barium Isotopic Compositions of Geological Reference Materials
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DOI:
10.1111/ggr.12122
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发表时间:
2016-12
影响因子:
3.8
通讯作者:
K. Zuilen;T. Nägler;T. Bullen
K. Zuilen;T. Nägler;T. Bullen
中科院分区:
地球科学2区
文献类型:
--
作者:
K. Zuilen;T. Nägler;T. Bullen

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在过去的几年里,人们对低温和高温环境中钡(Ba)稳定同位素比值变化的兴趣有所增加。现在需要表征广泛使用的参考物质的Ba同位素比,以验证分析方法,并允许比较不同实验室获得的数据。我们提供了相对于NIST SRM 3104 a的12种地质标准物质(硅酸盐(AGV-1,G-2,BHVO-1,QLO-1,BIR-1,JG-1a,JB-1a,JR-1和JA-1),碳酸盐(IAEA-CO-9)和硫酸盐基质(IAEA-SO-5和IAEA-SO-6)的新Ba同位素量比数据。此外,将两种人工分级的内部参比物质BaBe 12和BaBe 27(δ137/134 Ba分别= −1.161 ± 0.049‰和−0.616 ± 0.050‰)用作负δ范围的质控溶液。通过伯尔尼大学和美国地质调查局(USGS)之间的实验室间比较,评估了我们数据的准确性。通过MC‐ICP‐MS(伯尔尼)和TIMS(USGS)测量数据,使用两种不同的双加标进行质量偏倚校正(分别为130 Ba-135 Ba和132 Ba-136 Ba)。通过一些常见的基质元素,进一步测试了MC‐ICP‐MS测量的等压和非光谱基质效应。结果非常一致,并表明数据的准确性。
The interest in variations of barium (Ba) stable isotope amount ratios in low and high temperature environments has increased over the past several years. Characterisation of Ba isotope ratios of widely available reference materials is now required to validate analytical procedures and to allow comparison of data obtained by different laboratories. We present new Ba isotope amount ratio data for twelve geological reference materials with silicate (AGV‐1, G‐2, BHVO‐1, QLO‐1, BIR‐1, JG‐1a, JB‐1a, JR‐1 and JA‐1), carbonate (IAEA‐CO‐9) and sulfate matrices (IAEA‐SO‐5 and IAEA‐SO‐6) relative to NIST SRM 3104a. In addition, two artificially fractionated in‐house reference materials BaBe12 and BaBe27 (δ137/134Ba = −1.161 ± 0.049‰ and −0.616 ± 0.050‰, respectively) are used as quality control solutions for the negative δ‐range. Accuracy of our data was assessed by interlaboratory comparison between the University of Bern and the United States Geological Survey (USGS). Data were measured by MC‐ICP‐MS (Bern) and TIMS (USGS) using two different double spikes for mass bias correction (130Ba–135Ba and 132Ba–136Ba, respectively). MC‐ICP‐MS measurements were further tested for isobaric and non‐spectral matrix effects by a number of common matrix elements. The results are in excellent agreement and suggest data accuracy.