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Handheld methods in archaeological research on large copper alloy assemblages: HH‐XRF against HH‐LIBS
Archaeometry ( IF 1.5 ) Pub Date : 2020-07-13 , DOI: 10.1111/arcm.12595
S. Wallace 1 , N. Smith 2 , N. Nerantzis 3
Affiliation  

When alloy composition information is sought across a single large artefact assemblage, how well do handheld methods solve the problem of museum environments which restrict the movement of artefacts and destructive sampling, and which have limited in‐house technical resources? The usefulness of relatively low‐cost handheld analytical instruments still needs evaluating in such arenas. The potential advantages which handheld laser‐induced breakdown spectrometry (HH‐LIBS), with its affordability, speed and micro‐destructive corrosion‐penetrating ability, might offer over handheld X‐ray fluorescence (HH‐XRF)/portable X‐ray fluorescence (pXRF) in large intra‐assemblage comparisons of broad copper alloy composition were examined and reported on by the present study (tin and lead being the elements of interest). The context was an archaeological study in a major Greek museum, aimed at exploring the social and economic significance of alloying choice at a single large representative site of the Bronze–Iron transition, c.1200 bc. Archaeological interpretations are presented in another paper, with the alloying patterns/choices identified only being outlined in the present paper. The results of the methods comparison described suggest that HH‐LIBS has potential, but that HH‐XRF, despite its variable limitations in relation to penetrating corrosion (discussed here), is still the most reliable method for work in such circumstances.

中文翻译:

大型铜合金组件的考古研究中的手持方法:针对HH-LIBS的HH-XRF

当在单个大型文物组合中寻找合金成分信息时,手持方法如何很好地解决博物馆环境的问题,博物馆环境限制了文物的移动和破坏性采样,并且内部技术资源也受到限制?相对低成本的手持式分析仪器的实用性仍需要在此类领域进行评估。手持式激光诱导击穿光谱仪(HH-LIBS)的潜在优势,价格合理,速度快,微破坏腐蚀穿透能力强于手持式X射线荧光(HH-XRF)/便携式X射线荧光(在本研究中,对大型铜合金成分的大型内部比较中的pXRF)进行了检查和报告(锡和铅是我们关注的元素)。Ç 0.1200  BC。考古学解释在另一篇论文中提出,仅在本文中概述了确定的合金化模式/选择。所描述的方法比较结果表明,HH-LIBS具有潜力,但HH-XRF尽管在穿透腐蚀方面有一定的局限性(在此讨论),但在这种情况下仍是最可靠的工作方法。
更新日期:2020-07-13
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