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Multivariate Statistical Analysis of Phyllite Samples Based on Chemical (XRF) and Mineralogical Data by XRD

机译:基于X射线化学和矿物学数据的玄武岩样品多元统计分析

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摘要

It is presented the results obtained of a multivariate statistical analysis concerning the chemical and phase composition,\udas a characterization purpose, carried out with 52 rock phyllite samples selected from the provinces of Almería and\udGranada (SE Spain). Chemical analysis was performed by X-ray fluorescence (XRF). Crystalline phase analysis was\udperformed by X-ray powder diffraction (XRD) and the mineralogical composition was then deduced. Quantification of\udweight loss (100° and 1000°C) was carried out by thermal analysis. The aims of this investigation were to analyze and\udcompare the chemical and mineralogical composition of all these samples and to find similarities and differences between\udthem to allow a classification. Several correlations between results of the characterization techniques have been\udalso investigated. All the data have been processed using the multivariate statistical analysis method. The XRF macroelements\ud(10) and microelements (39) data generate one macrogroup with two new subgroups (1 and 2), and an isolated\udsample. In subgroup 1 of macroelements, a positive correlation was found between XRF results and geographic location\udcharacterized by lower MgO content, which is associated to its geological origins. When multivariate statistical analysis\udis applied to results obtained by XRD, two groups appear: the first one with a sample with zero percentage of iron oxide\udand the second one with the rest of the samples, which is classified in two groups. A correlation is observed between the\udalkaline content (XRF) and illite (XRD), CaO and MgO with dolomite and indirectly between the weight loss after\udheating at 1000°C and the contents of phase minerals that lose structural water (illite + chlorite) or carbon dioxide\ud(dolomite). The present investigation has interest and implications for geochemistry and analytical chemistry concerning\udearth rocks and silicate raw materials
机译:给出了关于化学和相组成的多元统计分析的结果,出于表征目的,对选自阿尔梅里亚和乌德格拉纳达(西班牙东南部)的52个岩晶石样品进行了表征。通过X射线荧光(XRF)进行化学分析。通过X射线粉末衍射(XRD)进行结晶相分析,然后推导出矿物学组成。通过热分析对减重(100℃和1000℃)进行定量。这项研究的目的是分析和比较所有这些样品的化学和矿物组成,并找出它们之间的异同以进行分类。还研究了表征技术结果之间的几种相关性。所有数据均已使用多元统计分析方法进行了处理。 XRF macroelements \ ud(10)和microelements(39)数据生成一个带有两个新子组(1和2)的宏组,以及一个孤立的\ udsample。在宏观元素​​的亚组1中,发现XRF结果与地理位置/由较低的MgO含量表征的地理位置之间呈正相关,这与它的地质起源有关。将多变量统计分析应用于通过XRD获得的结果时,出现了两组:第一组样品中氧化铁含量为零的乌德\ ud,第二组样品中的其余样品为氧化铁,将其分为两组。观察到\ udalkaline含量(XRF)和伊利石(XRD),CaO和MgO与白云石之间存在相关性,并且间接关系到在1000°C加热后的失重与失去结构水的相矿物的含量(伊利石+绿泥石)之间的相关性。 )或二氧化碳\ ud(白云石)。目前的研究对\地球岩石和硅酸盐原料的地球化学和分析化学具有兴趣和启示。

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