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Automated Analyte Separation by Ion Chromatography Using a Cobot Applied to Geological Reference Materials for Li Isotope Composition

机译:通过将Cobot应用于锂同位素组成的地质参考材料的Cobot,通过离子色谱法自动分析物分离

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摘要

The demand for large and reliable data sets on isotopic composition has increased in geochemistry and environmental sciences over recent years. We present an automated ion chromatographic separation method using a robotic pipetting arm, termed 'ChemCobOne', to reduce sample separation time. Its performance was tested for lithium isotope separation in geological reference materials using a single-step separation with HCl (0.2 mol l(-1)) and a 2 ml resin volume. This refined lithium purification method does not forfeit precision, accuracy or purity compared with manual sample processing. In addition, a delta Li-7 value for NASS-6 of 30.99 +/- 0.50 parts per thousand (2s) (95% CI = 0.14 parts per thousand, n = 44) was determined and the first delta Li-7 values for the granite rock reference material GS-N (-0.57 +/- 0.25 parts per thousand (2s), 95% CI = 0.15 parts per thousand, n = 15), and for the soil reference material NIST SRM 2709a (-0.37 +/- 0.67 parts per thousand (2s), 95% CI = 0.15 parts per thousand, n = 63) are proposed.
机译:近年来地球化学和环境科学对同位素组成的对大型和可靠数据集的需求增加。我们介绍了一种使用机器人移液臂的自动离子色谱分离方法,称为'Chemcobone',以减少样品分离时间。使用与HCl(0.2mol L(-1))和2mL树脂体积的单步分离进行地质参考材料中的锂同位素分离测试其性能。与手动样品加工相比,这种精制的锂净化方法不会丧失精确,精度或纯度。此外,确定NAS-6的Delta Li-7值为30.99 +/- 0.50份/千分之一(2s)(2s)(95%Ci = 0.14份,n = 44),并且第一个Delta Li-7值花岗岩岩石参考物质GS-N(-0.57 +/- 0.25份(2s),95%Ci = 0.15份,N = 15),以及土壤参考资料NIST SRM 2709a(-0.37 + / - 提出了0.67份(2S),95%CI = 0.15份,N = 63)。

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