首页> 外文期刊>Radiocarbon >ULTRA-MICROSCALE (5-25 mu g C) ANALYSIS OF INDIVIDUAL LIPIDS BY ~(14)C AMS: ASSESSMENT AND CORRECTION FOR SAMPLE PROCESSING BLANKS
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ULTRA-MICROSCALE (5-25 mu g C) ANALYSIS OF INDIVIDUAL LIPIDS BY ~(14)C AMS: ASSESSMENT AND CORRECTION FOR SAMPLE PROCESSING BLANKS

机译:〜(14)C AMS对微量脂质的超微分析(5-25μg C):样品处理空白的评估和校正

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Measurements of the natural abundance of radiocarbon in biomarker molecules can be used to elucidate the biogeochemical roles of marine bacteria and archaea in the oceanic water column. However, the relatively low concentration of biomass, especially below the euphotic zone, inevitably results in small sample sizes for compound-specific analyses. In ultra-microscale triangle open ~(14)C measurements, which we define as measurements on samples smaller than 25 mu g C, the process of isolating pure compounds and preparing them for measurement adds significant background carbon. This additional blank carbon can contribute up to 40 percent of the total sample mass; therefore, it is necessary to quantify all components of the processing blank in order to make appropriate corrections. Complete propagation of error is critical in order to report the correct analytical uncertainty. The carbon blank is composed of at least 3 different sources: i) those that scale in proportion to the mass of the sample; ii) sources that contribute a constant mass of blank, e.g. closed-tube combustion; and iii) contaminants from vacuum lines and/or other aspects of sample handling that are difficult to quantify. We approached the problem of correcting for the total sample processing blank by deriving a 4-part isotopic mass balance based on separating the 3 exogenous components from the sample. Subsequently, we derived the appropriate equations for the full propagation of error associated with these corrections. Equations for these terms are presented. Full treatment of a set of raw data is demonstrated using compound-specific triangle open ~(14)C data from the North Central Pacific water column.
机译:生物标志物分子中放射性碳的天然丰度的测量可用于阐明海洋水柱中海洋细菌和古生菌的生物地球化学作用。但是,相对较低的生物质浓度,尤其是在富营养区以下,不可避免地会导致化合物特异性分析的样本量较小。在超微型三角形开放〜(14)C测量中,我们定义为对小于25μg C的样品进行测量,分离纯化合物并准备进行测量的过程会增加大量的本底碳。这种额外的空白碳最多可占样品总质量的40%。因此,有必要量化处理空白的所有成分,以进行适当的校正。误差的完全传播对于报告正确的分析不确定性至关重要。碳坯至少由3种不同的来源组成:i)与样品质量成比例的物质; ii)产生恒定质量空白的光源,例如闭管燃烧; iii)来自真空管线和/或样品处理其他方面的难以量化的污染物。我们通过从样品中分离出3种外源成分得出4部分同位素质量平衡来解决校正总样品处理空白的问题。随后,我们导出了与这些校正相关的误差的完全传播的适当方程式。给出了这些术语的方程式。使用来自北中太平洋水柱的特定于化合物的三角形开放〜(14)C数据,证明了对原始数据的完整处理。

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