首页> 外文期刊>Journal of Analytical Atomic Spectrometry >Classification analysis of archaeological findings from early-iron production (Turopolje region, NW Croatia) based on multi-analytical profiling
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Classification analysis of archaeological findings from early-iron production (Turopolje region, NW Croatia) based on multi-analytical profiling

机译:基于多重分析的早期铁矿开采(考古遗址,克罗地亚西北部)的考古发现分类分析

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摘要

The combination of XRF, SEM-EDS, ICP-AES, ICP-MS, and chemometric methods for the investigation of early-iron production artefacts is presented. Visually similar samples were randomly collected from stored humps of material that was excavated in the Turopolje region, NW Croatia. Elemental analysis of different kinds of slags and pit furnace remains is performed from major (Fe, Si, Al, Ca, K, Mg, P, Mn, and Ti) to trace constituents (Ba, Cu, Cr, Ni, Mo, Pb, V, Zn, Zr, and REE's). Applied statistical analyses (PCA and HCA) for enlarged set of measured data allow the similar features of heterogeneous materials to become clearly discernible. Thus, three types of slags, namely, iron-rich tap slag, bloom slag, and ceramic-rich slag are recognized. Moreover, retrospective examination of morphology data from SEM-EDS observations along with elemental signature and performed statistical treatment enables identification of an exception in a set of slags; it is identified as a non-processed bog iron ore. These results are advantageous for forthcoming multidisciplinary studies of early-iron production in the Pannonic area. The combination of presented methods facilitates recognition of inhomogeneous slag material from archaeometallurgical production sites, especially when numerous similar samples are scattered at an excavation site.
机译:介绍了XRF,SEM-EDS,ICP-AES,ICP-MS和化学计量学方法相结合的方法,用于研究铁的早期生产伪像。从存储在克罗地亚西北部Turopolje地区的成堆的材料中随机收集视觉相似的样品。从主要(铁,硅,铝,钙,钾,镁,磷,锰和钛)到痕量成分(钡,铜,铬,镍,钼,铅)进行元素分析,分析各种炉渣和炉渣,V,Zn,Zr和REE)。对大量测量数据进行的应用统计分析(PCA和HCA)使异质材料的相似特征变得清晰可辨。因此,识别出三种类型的炉渣,即富铁的出渣,大方渣炉渣和富陶瓷的炉渣。此外,对来自SEM-EDS观察的形态数据进行回顾性检查以及元素特征和进行的统计处理,可以识别出一组炉渣中的例外情况。它被确认为未经处理的沼泽铁矿石。这些结果对于即将开展的Pannonic地区早期铁生产的多学科研究是有利的。所提出的方法的组合有助于识别来自考古冶金生产现场的不均匀炉渣,特别是当大量类似的样品散布在挖掘现场时。

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