PIXE发型分析随机变异的统计调查

Tomomi Yamada, K. Kataoka, Todd Saunders, K. Sera, T. Takatsuji, Tsuyoshi Nakamura, Y. Nose
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引用次数: 2

摘要

已经进行了许多研究来确定头发中矿物质含量与健康状况之间的关系,以开发疾病预防和预测的新方法。不幸的是,由于可能由许多因素引起的高度可变的结果,对于这些值在疾病管理中的有效性没有明确的共识。之前一项针对母亲和婴儿的质子诱导x射线发射(PIXE)研究检查了头发矿物质与婴儿特应性皮炎发病之间的关系。对于鉴定和分析的许多矿物质,高度可变的个体内部差异被证明是有问题的,并且可能模糊了疾病状态与矿物质水平之间的任何联系。我们认为,对这些个体内部差异进行更好的统计建模,可能会更好地理解头发矿物质水平与患者健康状况之间的关系。本报告审查了由于头发位置造成的个体内部差异和由于PIXE实验的物理误差造成的个体内部差异的统计性质。给出了Cu、Fe、Sr和Se的测定结果。
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Statistical investigation of the random variations in PIXE hair analysis
Many studies have been performed to determine the associations between the amounts of minerals present in hair and the health status, toward developing new approaches for disease prevention and prediction. Unfortunately, because of the highly variable results, which can be caused by many factors, there is no definitive consensus on the validity of these values in disease management. A previous proton-induced X-ray emission (PIXE) study of mothers and infants examined the association between hair minerals and the onset of atopic dermatitis in infants. For many of the minerals identified and analyzed, highly variable intra-individual variations proved problematic, and may have obscured any connections between disease states and the mineral levels. We feel that better statistical modeling of these intra-individual variations might lead to a better understanding of the associations between the hair mineral levels and the patient health status. This report examines the statistical nature of the intra-individual variations due to locations of hair strands and those due to the physical errors of the PIXE experiments. The results for Cu, Fe, Sr and Se are presented.
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