定量电子探针微量分析的准确性

K. Heinrich
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A small fraction of electron-target interactions, described by ionization cross-sections produces xrays, and the x-ray emission directed toward the specimen surface suffers attenuation which is determined by the distribution in depth of the loci of excitation and by the x-ray absorption coefficients of the specimen. Besides this primary x-ray generation, processes such as fluorescent x-ray generation by continuous as well as characteristic x-rays affect the relation between x-ray emission intensity and specimen composition. 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引用次数: 1

摘要

电子探针微分析(EPMA)是基于对暴露在聚焦加速电子束下的样品发出的x射线光谱的解释。该技术的一个吸引人的地方是x射线发射谱线的简单性,如果我们不注意x射线光谱的精细细节,如线的位置和形状随化学成分的变化或吸收边缘的扩展结构,这一点尤其引人注目。类似地,EPMA的发明者R. Castaing在早期的研究中发现,考虑到当时仪器的技术水平,以及成分分析的小体积,用这种技术对定量进行相当简单的近似可以产生显着的分析精度结果。Castaing倾向于一种基于物理原理的简单方法,而Ziebold和Ogilvie[2]选择了一种基于使用复合标准材料的经验技术;再一次,观察到令人愉快的简单性,经验方法仍然被广泛使用,特别是在矿物分析中。随着经验和应用领域的扩大,很明显,为了提高程序的准确性,必须放弃这种表面上的简单性。幸运的是,小型计算机的可用性允许联机执行更复杂的数据简化方案;更大的计算机可以用于蒙特卡罗模拟目标[3]中的事件,并且对相关参数(如x射线吸收系数)的估计质量也得到了改善[4]。在EPMA中观察到的x射线谱线是由能量通常在5到30 keV之间的电子穿透样品表面引起的。在典型的扁平厚样品中,大多数电子路径都包含在均匀的样品基质中。穿透电子由于非弹性相互作用而失去能量,这种非弹性相互作用通常被视为一个连续过程,用贝特电子减速定律或与该定律有关的表达式来描述。穿透电子方向的改变主要是由于非弹性碰撞;电子的散射导致大量的电子从样品中被重新发射(后向散射),而后向散射的电子的比例强烈依赖于目标的平均原子序数。反向散射的电子保存了它们进入样品时的大部分能量;因此,会导致x射线发射的很大一部分能量通过后向散射损失掉了,而且这种损失随样品组成的变化很大。由电离截面描述的一小部分电子-靶相互作用产生x射线,并且指向样品表面的x射线发射受到衰减,这是由激发位点的深度分布和样品的x射线吸收系数决定的。除了初级x射线产生之外,诸如连续x射线和特征x射线产生荧光x射线等过程影响x射线发射强度与样品组成之间的关系。通常将数据处理步骤分为三个乘法因子(Z,A,F),这三个因子分别表示“原子序数校正”(即考虑电子减速和后向散射),“吸收校正”(仅考虑初级x射线的衰减)和“荧光校正”(通常以过于简化的方式描述,由其他特征x射线线激发的x射线的产生和衰减)。由于连续体的荧光在大多数数据还原方案中被忽略。除了上述过程中涉及的参数的不确定性外,该过程的准确性还受到与样品比较的标准物缺乏平整度和均匀性以及测定nonele-组成的误差的影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy in Quantitative Electron Probe Microanalysis
Electron probe microanalysis (EPMA) is based on the interpretation of x-ray spectra emitted by specimens which were exposed to a focused, accelerated electron beam. One of the attractions of this technique is the simplicity of the x-ray emission line spectra which is particularly striking if we do not pay attention to the fine details of x-ray spectrometry such as line position and shape changes with chemical composition or the extended structure of absorption edges. In close analogy, the inventor of EPMA, R. Castaing, found in early investigations that quite simple approximations to quantitation with this technique could yield results of remarkable analytical accuracy, considering the state of art of instrumentation at that time, and the small volumes from which the compositional analysis was elicited [1]. While Castaing favored a simple approach based on physical principles, Ziebold and Ogilvie [2] chose an empirical technique based on the use of composite standard materials; again, a pleasing simplicity was observed, and the empirical method is still widely used, particularly in the analysis of minerals. As experience and areas of applications widened, it became obvious that to increase the accuracy of the procedure, some of this apparent simplicity had to be abandoned. Fortunately, the availability of small computers permitted the on-line execution of more involved data reduction schemes; larger computers could be used in Monte Carlo simulations of the events in the target [3], and the quality of estimates of pertinent parameters, such as the x-ray absorption coefficients, was also improved [4]. The x-ray line spectra observed in EPMA are caused by electrons which penetrate the specimen surface with energies which typically range between 5 and 30 keV. In the typical flat, thick specimen, most of the electron paths are contained within a homogeneous specimen matrix. The penetrating electrons lose energy due to inelastic interactions which usually are treated as a continuous process and described by Bethe's law of electron deceleration or by expressions related to this law [4]. The direction of the penetrating electron is altered mainly due to inelastic collisions; the scattering of electrons causes a significant number of electrons to be re-emitted from the specimen (backscattering), and the fraction of electrons which are backscattered depends strongly on the mean atomic number of the target. The backscattered electrons conserve most of the energy they had when entering the specimen; therefore, a significant fraction of the energy which would otherwise cause x-ray emission is lost through backscattering, and the loss varies strongly with specimen composition. A small fraction of electron-target interactions, described by ionization cross-sections produces xrays, and the x-ray emission directed toward the specimen surface suffers attenuation which is determined by the distribution in depth of the loci of excitation and by the x-ray absorption coefficients of the specimen. Besides this primary x-ray generation, processes such as fluorescent x-ray generation by continuous as well as characteristic x-rays affect the relation between x-ray emission intensity and specimen composition. It is common, though not justifiable by present standards of computation, to group the data processing steps into three multiplicative factors (Z,A,F), which, respectively, represent the "atomic number correction" (i.e., consideration of electron deceleration and backscatter), the "absorption correction" (which only considers the attenuation of primary x-rays), and the "fluorescence correction" (which describes, usually in an oversimplified way, the generation and attenuation of x-rays excited by other characteristic x-ray lines). The fluorescence due to the continuum is ignored in most data reduction schemes. In addition to the uncertainties in parameters involved in the aforementioned processes, the accuracy of the procedure is affected by lack of flatness and homogeneity of the standards whose emission is compared with that of the specimen, by errors in the determination of the composition of nonele-
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