p-XRF analysis of multi-period Impasto and Cooking Pot wares from the excavations at Stromboli-San Vincenzo, Aeolian Islands, Italy

V. Cannavò, E. Photos-Jones, S. Levi, D. Brunelli, P. Fragnoli, Giacomo Lomarco, F. Lugli, M. Martinelli, M. Sforna
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引用次数: 6

Abstract

ABSTRACT This exploratory study focuses on the elemental analysis by p-XRF (portable X-Ray Fluorescence Analyser) of 62 samples of coarse wares, consisting of Bronze Age handmade burnished ware, so-called Impasto, and of Cooking ware (dated from the Roman period to Modern times). All wares originate from the site of San Vincenzo, Stromboli, and Aeolian Islands. The question addressed here is whether it is possible to differentiate between local (Aeolian) and imported (non-Aeolian) fabrics with the use of the p-XRF; 42 of the 62 samples were also subjected to petrographic analysis as a way of testing our hypothesis. Our results show that p-XRF analysis can clearly assist in distinguishing between Aeolian vs. non-Aeolian wares. Analyses can take place in the field and large quantities of sherds can be processed as a result. We suggest that no further demands should be made of the technique in providing answers to more detailed provenance questions. This is because finer separation in subgroups (as achieved recently by combined petrographic and EPMA analysis on select samples) is not possible given the nature of coarse pottery and the limitations of the technique in measuring key light elements (Na, Mg). Furthermore, for some elements (e.g Cr) accuracy is below acceptable levels in which case results for these particular elements are considered semi-quantitative.
意大利伊奥利亚群岛斯特龙博利-圣文森佐发掘的多时期Impasto和炊具的p-XRF分析
本探索性研究的重点是使用p-XRF(便携式x射线荧光分析仪)对62个粗糙陶器样品进行元素分析,包括青铜器时代手工抛光器,即所谓的Impasto,以及炊具(从罗马时期到现代)。所有的商品都来自圣文森佐、斯特隆博利和风利亚群岛。这里讨论的问题是,使用p-XRF是否有可能区分本地(风成)和进口(非风成)织物;62个样品中的42个还进行了岩石学分析,作为检验我们假设的一种方式。我们的研究结果表明,p-XRF分析可以清楚地帮助区分风沙和非风沙。分析可以在现场进行,结果可以处理大量碎片。我们建议,在提供更详细的来源问题的答案时,不应再对该技术提出要求。这是因为考虑到粗陶的性质和测量关键轻元素(Na, Mg)技术的局限性,在亚组中进行更精细的分离是不可能的(正如最近通过对选定样品进行岩石学和EPMA结合分析所实现的那样)。此外,对于某些元素(例如Cr),精度低于可接受的水平,在这种情况下,这些特定元素的结果被认为是半定量的。
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