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使用非侵入式傅里叶变换红外光谱法对天然宝石进行表征:电气石的新数据。

The characterization of natural gemstones using non-invasive FT-IR spectroscopy: New data on tourmalines.

作者信息

Mercurio Mariano, Rossi Manuela, Izzo Francesco, Cappelletti Piergiulio, Germinario Chiara, Grifa Celestino, Petrelli Maurizio, Vergara Alessandro, Langella Alessio

机构信息

Department of Science and Technology, University of Sannio, Via dei Mulini 59/A, 82100 Benevento, Italy.

Department of Earth Sciences, Environment and Resources, Federico II University, via Cinthia, 80126 Napoli, Italy; Real Museo Mineralogico, Cnetro Musei delle Scienze Naturali e Fisiche, Federico II University, via Mezzocannone 8, 80134 Napoli, Italy.

出版信息

Talanta. 2018 Feb 1;178:147-159. doi: 10.1016/j.talanta.2017.09.030. Epub 2017 Sep 11.

Abstract

Fourteen samples of tourmaline from the Real Museo Mineralogico of Federico II University (Naples) have been characterized through multi-methodological investigations (EMPA-WDS, SEM-EDS, LA-ICP-MS, and FT-IR spectroscopy). The samples show different size, morphology and color, and are often associated with other minerals. Data on major and minor elements allowed to identify and classify tourmalines as follows: elbaites, tsilaisite, schorl, dravites, uvites and rossmanite. Non-invasive, non-destructive FT-IR and in-situ analyses were carried out on the same samples to validate this chemically-based identification and classification. The results of this research show that a complete characterization of this mineral species, usually time-consuming and expensive, can be successfully achieved through non-destructive FT-IR technique, thus representing a reliable tool for a fast classification extremely useful to plan further analytical strategies, as well as to support gemological appraisals.

摘要

对来自那不勒斯费德里科二世大学真实矿物博物馆的14个电气石样本进行了多方法研究(电子微探针-波长色散光谱法、扫描电子显微镜-能谱仪、激光剥蚀电感耦合等离子体质谱法和傅里叶变换红外光谱法)。这些样本呈现出不同的尺寸、形态和颜色,并且常常与其他矿物伴生。关于主量和微量元素的数据使得电气石能够被识别并分类如下:钠锂电气石、硅锂电气石、黑电气石、镁电气石、镁铁锂电气石和水硼电气石。对相同样本进行了非侵入性、非破坏性的傅里叶变换红外光谱分析和原位分析,以验证这种基于化学性质的识别和分类。这项研究的结果表明,通常耗时且昂贵的对这种矿物种类的完整表征,可以通过非破坏性傅里叶变换红外光谱技术成功实现,因此它是一种可靠的工具,可用于快速分类,这对于规划进一步的分析策略以及支持宝石学鉴定极为有用。

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