用沉积环境敏感元素表征中国绿松石矿床的方法

IF 2.6 1区艺术学 Q2 CHEMISTRY, ANALYTICAL

Heritage Science Pub Date : 2023-11-08 DOI:10.1186/s40494-023-01080-6

Yiheng Xian, Yun Liang, Chun Yu, Liping Yang, Yanwang Wu

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引用次数: 0

摘要

摘要“指纹”鉴定是绿松石种源研究的关键，但在中国已有的研究成果有限。中国的绿松石主要产于蚀变沉积岩中，由风化、淋滤和沉积作用形成。本文评价了沉积环境敏感元素用于区分中国绿松石矿床的潜力。本文计算了不同产地绿松石的V/Mo、Ce/Ce*、Ni/Co、Sr/Ba、Tl/Ga、Li/Ba和V/Cr比值。我们的结果表明，当这些参数与Ga浓度一起使用时，可以有效地区分中国绿松石的来源。这种方法为分析痕量元素数据库和可用于未来绿松石来源研究的未开发的信息财富提供了新的手段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A method to characterize turquoise deposits in china using sedimentary environment sensitive elements

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A method to characterize turquoise deposits in china using sedimentary environment sensitive elements

Abstract ‘Fingerprint’ identification is the key to turquoise provenance studies, but previous studies have met with limited success in China. Turquoises in China mainly occur in altered sedimentary rocks and are formed by weathering, leaching and sedimentation. This paper evaluates the potential for sedimentary environment sensitive elements to be used to distinguish between turquoise deposits in China. In this paper, the ratios of V/Mo, Ce/Ce*, Ni/Co, Sr/Ba, Tl/Ga, Li/Ba and V/Cr were calculated for turquoise of different origins. Our results show that these parameters when used alongside Ga concentration permit effective discrimination between turquoise sources in China. This approach brings to light a new means of analyzing trace element databases and an untapped wealth of information that can be used for future turquoise provenance studies.

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来源期刊

Heritage Science Arts and Humanities-Conservation

CiteScore

4.00

自引率

20.00%

发文量

183

审稿时长

19 weeks

期刊介绍： Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above. Description of novel technologies that can assist in the understanding of cultural heritage.