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Biological mineral content in Iberian skeletal cremains for control of diagenetic factors employing multivariate statistics

机译:利用多变量统计法控制伊比利亚骨骼裂缝中的生物矿物质含量

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The aim of this study was to define a strategy for a correct selection of bone samples by employing inductively coupled plasma optical emission spectroscopy (ICP-OES) for reconstructing the biological mineral content in bones through the determination of major elements, trace elements and Rare Earth Elements (REE, lanthanides) in skeletal cremains of ancient Iberians (III-II B.C), discovered in the Necropolis of Corral de Saus (Moixent, Valencia) between 1972 and 1979. The biological mineral content was determined taking into account diagenetic factors. A control method for a better reading of results was applied. To explore large geochemical datasets and to reduce the number of variables, Principal Component Analysis (PCA) was used, thus, providing a deeper insight into the structure of the variance of the dataset. PCA shows that the elemental profiles of bone and soil samples are clearly different. Bone samples obtained from the outer bone layer were shown to have a different elemental composition; more similar to soil samples than samples of the inner bone layer. PCA scores and loadings plots were preferred to dendrograms obtained using Cluster Analysis, due to the limits of the latter one to appreciate the spatial ordering of samples. Partial least squares discriminant analysis (PLS-DA), a frequently used supervised classification method, was applied to differentiate between degradation states of bone samples. PLS-DA results obtained in this study confirmed that changes derived from different burning conditions were associated with transformations in the mineral part of the bones. Accordingly, carbonized bones can be differentiated from cremated bones. Class assignment of bone samples with uncertain thermal conditions in dependence on their elemental composition has shown to be feasible. Consequently, for biochemical-archaeological studies the analysis and statistical classification of carbonized and cremated archaeological bones, as well as those exposed to unknown thermal conditions together with experiments in modern bones, are recommended.
机译:这项研究的目的是通过使用电感耦合等离子体发射光谱法(ICP-OES)来确定骨样品的正确选择,从而通过确定主要元素,微量元素和稀土元素来重建骨骼中的生物矿物质含量。 1972年至1979年之间,在科拉勒德萨斯(Moralx,Valencia)墓地发现的古代伊比利亚人(III-II BC)的骨骼骨中的元素(REE,镧系元素)。确定生物矿物质含量时要考虑成岩因素。应用了一种控制方法,可以更好地读取结果。为了探索大型地球化学数据集并减少变量数量,使用了主成分分析(PCA),从而提供了对数据集方差结构的更深入了解。 PCA表明,骨骼和土壤样品的元素特征明显不同。从外骨骼层获得的骨样品显示具有不同的元素组成;与内层样品相比,与土壤样品更相似。 PCA分数和负荷图优于使用聚类分析获得的树状图,这是因为后者的局限性在于无法欣赏样品的空间排序。偏最小二乘判别分析(PLS-DA)是一种常用的监督分类方法,用于区分骨样品的降解状态。这项研究中获得的PLS-DA结果证实,来自不同燃烧条件的变化与骨骼矿物质部分的转化有关。因此,碳化的骨头可以与火化的骨头区分开。已经证明,根据其元素组成对具有不确定热条件的骨样品进行分类是可行的。因此,对于生化考古研究,建议对碳化和火化的考古骨骼以及暴露于未知热条件的考古骨骼以及现代骨骼中的实验进行分析和统计分类。

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