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Elemental fingerprinting of gypsum drywall using sector field ICP-MS and multivariate statistics

机译:使用扇形场ICP-MS和多元统计数据对石膏干墙进行元素指纹分析

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Outgassing of volatile sulphur compounds from gypsum drywall from some sources has resulted in odours, corrosion of wiring and metals and health problems for homeowners. Infrared spectroscopy has been the primary analytical tool to identify 'problematic' drywall. In this paper, we demonstrate that elemental fingerprinting using inductively coupled plasma mass spectrometry and multivariate statistics is an effective alternative. The approach also showed potential in determining the geographic source of gypsum. Nineteen elements (Al, Ba, Ca, Cd, Co, Cr, Cs, Cu, Fe, Mg, Mn, Ni, Pb, Rb, Sr, Tl, U, V and Zn) were measured in 20 samples of drywall, half of which were classified as positive for contamination by Fourier Transform Infrared Spectroscopy. Gypsum from three different mines and a flue gas desulphurisation plant were also analysed. Principal component analysis and multivariate analysis of variance of the elemental data showed significant differences between the problematic and non-problematic drywall and between sources of gypsum. Strontium averaged 1800 +/- 500 mu g/g in problematic drywall compared to 400 +/- 100 mu g/g in non-problematic drywall (p<0.0001).
机译:石膏干墙中的挥发性硫化合物从某些来源脱气导致气味,布线和金属腐蚀以及房主健康问题。红外光谱法一直是识别“问题”干墙的主要分析工具。在本文中,我们证明了使用电感耦合等离子体质谱法和多元统计数据进行元素指纹识别是一种有效的选择。该方法还显示出确定石膏地理来源的潜力。在20个干墙样品中测量了19种元素(Al,Ba,Ca,Cd,Co,Cr,Cs,Cu,Fe,Mg,Mn,Ni,Pb,Rb,Sr,Tl,U,V和Zn),一半通过傅里叶变换红外光谱法将其中的一种归类为阳性。还分析了来自三个不同矿山的石膏和一个烟气脱硫工厂。主成分分析和元素数据方差的多变量分析显示,有问题的和无问题的石膏板之间以及石膏来源之间存在显着差异。有问题的干墙中的锶平均为1800 +/- 500μg/ g,而无问题的干墙中的锶平均为400 +/- 100μg/ g(p <0.0001)。

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