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首页> 外文期刊>Analytical and bioanalytical chemistry >Determination of the isotopic composition of enriched materials using laser ablation molecular isotopic spectrometry: partial least squares and multivariate curve resolution for the determination of N-15 content in enriched urea
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Determination of the isotopic composition of enriched materials using laser ablation molecular isotopic spectrometry: partial least squares and multivariate curve resolution for the determination of N-15 content in enriched urea

机译:激光烧蚀分子同位素光谱法测定富集材料的同位素组合物:富集尿液中N-15含量的局部最小二乘和多变量曲线分辨率

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摘要

A quantitative analytical method based on laser ablation molecular isotopic spectrometry (LAMIS) and multivariate analysis was developed and evaluated for the determination of the isotopic composition of enriched materials. The method consists preparing a concentrated solution of the enriched material, using small quantities of a sample (125 mg), and ensuring the economic efficiency of the analysis. Standard solutions of known isotopic contents are prepared by employing mixtures of urea highly enriched in N-15 and urea of natural isotopic ratio and analyzed by mass spectrometry. A small volume (30 mu L) of these solutions is delivered to a filter paper disc (3 cm diameter). After drying, the disc, offering a homogeneously distributed analyte, is presented to a LAMIS equipment to acquire the vibronic emission spectra containing information about the isotopologues of interest. To illustrate the proposed method, the content of N-15 is determined in enriched samples of urea. In this case, each spectrum is normalized by the intensity of emission of the CN isotopologues for the electronic (Delta nu = 0) emission band at 387.1 nm, ensuring better accuracy. Selected regions and single wavelengths of the vibronic emission spectrum (Delta nu = + 1 or - 1) related to CN species were employed to construct multivariate partial least squares (PLS) and univariate regression models to predict the isotopic content of new samples. Besides, the LAMIS data set was evaluated by multivariate curve resolution (MCR) algorithm. The best MCR and PLS models presented similar results regarding the accuracy to determine N-15 content in enriched urea. MCR is capable of identifying spectral interferences and minimizing its effect. The results show that the proposed method based on LAMIS and PLS or MCR multivariate analysis can determine the N-15 content in the range 5-50% with a root mean square error of prediction (RMSEP) respectively equal to 0.5 or 0.7% (m/m) in comparison with reference results obtained by mass spectrometry.
机译:开发了基于激光烧蚀分子同位素光谱法(Lamis)和多变量分析的定量分析方法,并评价测定富集材料的同位素组合物。该方法包括使用少量样品(125mg)制备浓缩材料的浓缩溶液,并确保分析的经济效率。通过使用在N-15和自然同位素比的N-15高度富集的尿素混合物和通过质谱分析来制备所述同位素内容物的标准溶液。将这些溶液的小体积(30μl)输送到滤纸盘(直径3cm)。在干燥后,将圆盘提供均匀分布的分析物,呈现给Lamis设备,以获取包含有关感兴趣的同位素的信息的振动发射光谱。为了说明所提出的方法,在富集的尿素样品中确定N-15的含量。在这种情况下,每个频谱通过387.1nm的电子(Delta nu = 0)发射带的CN同位素的发射强度标准化,确保更好的精度。使用与CN物种相关的所选区域和单波长的振动发射光谱(Delta nu = + 1或-1),用于构建多变量的局部最小二乘(PLS)和单变量回归模型以预测新样品的同位素含量。此外,通过多变量曲线分辨率(MCR)算法评估LAMIS数据集。最佳的MCR和PLS模型呈现了关于富集尿素中N-15含量的准确性的类似结果。 MCR能够识别光谱干扰并最小化其效果。结果表明,基于Lamis和PLS或MCR多变量分析的所提出的方法可以确定5-50%的N-15含量,其中预测(RMSEP)的根均线误差分别等于0.5或0.7%(m / m)与质谱法获得的参考结果相比。

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