初步运用LA-ICP-AES区分不同产地的绿松石

发布时间：2018-03-26 22:14

  本文选题：LA-ICP-AES　切入点：主成分分析　出处：《光谱学与光谱分析》2016年10期

【摘要】：目前宝玉石文物无损,微损分析检测技术发展较快,激光剥蚀电感耦合等离子体光谱法(LA-ICPAES)作为几乎无损的分析方法具有多重优点。尝试采用该方法检测包括辣子崖采矿遗址绿松石在内的东秦岭五处不同产地的绿松石样品,获得样品的主,微量元素数据。运用主成分模型(PCA)分析数据结果,得到3个主成分,其累计方差贡献率达84.96%。前两个主成分的方差贡献率为72.29%,确定其所对应的V2O5,NiO,B2O3,SrO,BaO,CaO,ZrO,MnO2为不同产地绿松石的特征化学成分。经相关化学成分的对比分析发现,不同矿点所产绿松石样品在某些化学成分含量方面存在差异,且相关化学成分的比值散点图也呈现一定程度的产地聚集性,两种分析方式相结合可基本实现不同产地绿松石的鉴别。还发现某些化学成分含量存在某种程度的正,负相关关系,此现象既可以成为研究绿松石矿的成因的线索,亦可以作为样品的产地特征。研究结果初步表明LA-ICP-AES结合PCA和化学成分含量对比分析,在一定程度上具有区分不同产地绿松石的功能。
[Abstract]:At present, Baoyu cultural relics are not damaged, and the technology of micro-damage analysis and detection is developing rapidly. Laser denudation inductively coupled plasma spectroscopy (LA-ICPAESs) has many advantages as an almost non-destructive analysis method. This method is used to detect turquoise samples from five different areas of East Qinling Mountain, including turquoise from Laziya mining site. The main and trace element data of the sample were obtained, and three principal components were obtained by using the principal component model (PCA). The cumulative variance contribution rate is 84.96. The variance contribution rate of the first two principal components is 72.29. The corresponding V _ 2O _ 5 Nio _ 2O _ 3 SrO _ 2O _ 3 SrO _ 2O _ 3 and Bao _ 2O _ (3) -Bao _ (10) O _ (ZrO _ (2)) MNO _ (2) are the characteristic chemical constituents of turquoise from different producing areas. There are differences in some chemical components in the samples of turquoise from different ore sites, and the ratio scattered plot of related chemical components also shows a certain degree of accumulation in the area. The combination of the two analytical methods can basically realize the identification of turquoise from different habitats. It is also found that there are some positive and negative correlations between the contents of some chemical constituents, which can be used as a clue to study the genesis of turquoise ores. The results showed that LA-ICP-AES combined with PCA and chemical composition analysis could distinguish turquoise from different producing areas to some extent.
【作者单位】： 北京科技大学冶金与生态工程学院;陕西考古研究院;北京大学考古文博学院;
【基金】：国家自然科学基金项目(51374030)资助
【分类号】：O657.3;TS933
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本文编号：1669825