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首页> 外文期刊>Radiocarbon >C-14 BLANK ASSESSMENT IN SMALL-SCALE COMPOUND-SPECIFIC RADIOCARBON ANALYSIS OF LIPID BIOMARKERS AND LIGNIN PHENOLS
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C-14 BLANK ASSESSMENT IN SMALL-SCALE COMPOUND-SPECIFIC RADIOCARBON ANALYSIS OF LIPID BIOMARKERS AND LIGNIN PHENOLS

机译:C-14小规模化合物特异性无线电碳的空白评估脂质生物标志物和木质素酚的分析

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Compound-specific radiocarbon (C-14) dating often requires working with small samples of < 100 mu g carbon (mu gC). This makes the radiocarbon dates of biomarker compounds very sensitive to biases caused by extraneous carbon of unknown composition, a procedural blank, which is introduced to the samples during the steps necessary to prepare a sample for radiocarbon analysis by accelerator mass spectrometry (i.e., isolating single compounds from a heterogeneous mixture, combustion, gas purification and graphitization). Reporting accurate radiocarbon dates thus requires a correction for the procedural blank. We present our approach to assess the fraction modern carbon ((FC)-C-14) and the mass of the procedural blanks introduced during the preparation procedures of lipid biomarkers (i.e. n-alkanoic acids) and lignin phenols. We isolated differently sized aliquots (6-151 mu gC) of n-alkanoic acids and lignin phenols obtained from standard materials with known (FC)-C-14 values. Each compound class was extracted from two standard materials (one fossil, one modern) and purified using the same procedures as for natural samples of unknown (FC)-C-14. There is an inverse linear relationship between the measured (FC)-C-14 values of the processed aliquots and their mass, which suggests constant contamination during processing of individual samples. We use Bayesian methods to fit linear regression lines between (FC)-C-14 and 1/mass for the fossil and modern standards. The intersection points of these lines are used to infer (FCblank)-C-14 and m(blank) and their associated uncertainties. We estimate 4.88 +/- 0.69 mu gC of procedural blank with (FC)-C-14 of 0.714 +/- 0.077 for n-alkanoic acids, and 0.90 +/- 0.23 mu gC of procedural blank with (FC)-C-14 of 0.813 +/- 0.155 for lignin phenols. These (FCblank)-C-14 and m(blank)( )can be used to correct AMS results of lipid and lignin samples by isotopic mass balance. This method may serve as a standardized procedure for blank assessment in small-scale radiocarbon analysis.
机译:柔和的含氨基(C-14)序列通常需要使用<100μg碳(MU GC)的小样品。这使得生物标志物化合物的无线电碳的含量对由未知组合物的外来碳引起的偏差非常敏感,这是一种过程坯料,该程序坯料在所需的步骤中被引入样品,以便通过加速器质谱法(即,隔离单次来自异质混合物,燃烧,气体纯化和石墨化的化合物)。因此,报告准确的RadioCarbon日期需要对程序空白进行校正。我们介绍了评估脂质生物标志物(即N-链烷酸)和木质素酚的制备程序期间引入的分数现代碳((FC)-C-14)的方法和程序坯料的质量。我们分离不同大小的等分试样(6-151μg)的N-链烷酸和从具有已知(Fc)-C-14值的标准材料获得的木质素酚。每个复合类别从两个标准材料(一个化石,一个现代)中提取,并使用与未知(Fc)-C-14的天然样品相同的程序纯化。在加工等分试样的测量(Fc)-C-14值与其质量之间存在逆线性关系,这表明在处理单个样品期间的恒定污染。我们使用贝叶斯方法来适应(FC)-C-14和1 /质量之间的线性回归线,以实现化石和现代标准。这些线的交叉点用于推断(FCBLANK)-C-14和M(空白)及其相关的不确定性。我们估计4.88 +/- 0.69 mu gc的程序坯料(fc)-c-14为0.714 +/- 0.077的N-链烷酸,0.90 +/- 0.23 mu GC(fc)-c-对于木质素酚,14 of 0.813 +/- 0.155。这些(Fcblank)-C-14和M(空白)(空白)(空白)可用于通过同位素质量平衡来校正脂质和木质素样本的AMS结果。该方法可以用作小规模无碳碳分析中的空白评估的标准化程序。

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