Accuracy analysis of iron content of galvanized coating using an X-ray fluorescence spectrometer with an L-spectrum

The accuracy(repeatability and reproducibility) of the iron content analysis of galvanized coating using an X-ray fluorescence spectrometer with an L-spectrum is not better than that of flame atomic absorption spectrometry, sometimes it exceeds the quality control limit.Influences, such as current, voltage, equipment(internal circulating water, 10%CH4+90%Ar, and vacuum) checking, instrument monitoring, sample cleaning, and oper-ators, were investigated by means of 6-sigma and lean operations to improve accuracy.

Potential Applications of X-ray Fluorescence Core Scanner in Elemental Analyses of the Muddy Sediments on the Coastal Shelves of China and in Ecological Study

Large areas of muddy sediments on the coastal shelves of China provide important samples for studying climate and ecological changes. Analysis of a large number of such samples, which is essential for systematic study on environmental information recorded in mud areas because of complicated sedimentary environment and variable sedimentary rate, requires a fast and economical method. In this study, we investigated the potential of X-ray fluorescence core scanner （XRFS）, a fast analytical instrument for measuring the elemental concentrations of muddy sediments, and observed a significant correlation between the element concentrations of muddy sediments determined by regular X-ray fluorescence spectrometer （XRF） and XRFS, respectively. The correlations are mainly determined by excitation energy of elements, but also influenced by solubility of element ions. Furthermore, we found a striking link between A1 concentrations and marine-originated organic carbon （MOC）, a proxy of marine primary productivity. This indicates that MOC is partly controlled by sedimentary characteristics. Therefore, XRFS method has a good potential in fast analysis of a large number of muddy sediment samples, and it can also be used to calibrate MOC in ecological study of coastal seas.

Application of a Portable XRF Spectrometer for <i>In-Situ</i>and Nondestructive Investigation of Pigments in Two 15th Century Icons

A simple portable X-Ray Fluorescence (XRF) spectrometer was successfully used for in-situ and nondestructive identification of the painting materials in two 15th century icons from the Onufri Museum in Beart, Albania. The spectrometer is based on a low power X-ray tube, a thermoelectrically cooled Si PIN detector and the spectrum acquisition system. It was assembled and adjusted at our laboratory for the investigation of the icons. A small number of pigments were clearly identified by X-Ray Fluorescence (XRF) measurements in both icons. This includes Lead white for the white color, gold and yellow ochre for the yellow color, red lead, cinnabar and red ochre for the red color, as well as cooper based pigments for the green color. At the same time, the investigation raised some new questions that need further investigations by the use of additional analytical techniques. The results show that in both icons are used similar pigments, which are in accordance with the Byzantine icon painting tradition.

理学ZSX系列X荧光光谱仪中文软件开发

介绍了日本理学ZSX系列X荧光光谱仪的特点和新开发的中文版软件的功能

多通道波长色散X射线荧光光谱仪的升级改造

采用面向对象、开放式、功能模块化结构设计原理及X射线荧光光谱分析数据处理和信息共享等方面的新技术,研究开发了多通道波长色散X射线荧光光谱仪仪器控制和分析应用软件,在中文Windows XP/2000平台运行。操作界面全部中文显示,具有定量、半定量、定性分析等多种X射线荧光光谱分析的整体解决方案,功能完善,操作方便,分析效率高,易于维护和移植,具有较好的推广应用前景。

PW1410X射线荧光光谱仪的改造与应用

对荷兰飞利浦公司生产的ＰＷ１４１０Ｘ射线荧光光谱仪进行了改造；研制了专用的定性、定量分析接口板，将它们与ＩＢＭＰＣ计算机相联；编制了通用的Ｘ射线荧光光谱定性和定量分析软件，使原先非自动化的仪器改造成可用ＩＢＭＰＣ机进行分析数据自动化处理的更新仪器。

PW1400、PW1404、PW1600和PW1606 X射线荧光光谱仪数据文件的读写软件

本文研制了为PW1400、PW1404、PW1600和PW1606谱仪建立的数据文件进行读写的专用软件。作为应用的例子,一是读取PW 1400谱仪测量后所建立的未知样文件,然后作均匀性检验;另一是读取PW 1404谱仪测量后所建立的标样浓度,强度及未知样强度文件中的某些数据、然后重新写一个数据文件,用NBSGSC程序进行元素间相互影响的数学校正。该软件用FORTRAN语言编写,可在操作系统为RSX 11M的DEC PDP 11/23小型计算机上使用。

用于PM2.5样品测定的全反射X荧光仪的研制

研制适用于PM2.5样品分析的Mo靶和W靶全反射X荧光仪(TXRF)。该仪器主要部分为光路和软件系统,经过光路系统的设计、加工、调试,使入射光达到全反射;软件开发实现了控制和数据获取处理功能。Mo靶TXRF测量各元素检出限(ng)分别为K 9.4,Ca 4.1,Sc 8.5,Ti 3.0,V 3.5,Cr 3.2,Mn 1.5,Fe 0.99,Ni 0.24,Cu 0.63,Zn 0.5,Pb1.6,Ba 11.9;W靶TXRF测量各元素检出限(ng)分别为Na 1 935,Mg 1 087,Al 1 310,K 19.4,Ca 8.8,Sc 7.0,Ti 13.5,V 7.8,Cr 2.3,Mn 4.0,Fe 4.5,Ni 4.5,Ba 6.2。重复测量100 ng的Ba和200 ng的Ti各6次,测定结果的相对标准偏差分别为5.3%,1.4%;51.2μg/cm2 Zn和9.0μg/cm2 Ca测量结果与标准值的相对偏差分别为0.2%,5.8%。用Mo靶、W靶TXRF分别连续测量标准薄膜Cu样和Fe样4 h,测定结果的相对极差分别为5.1%,6.0%。该仪器检测限低,测量重复性、准确度、长期稳定性均满足ng量级微量元素的测量需求,可用于大气微尘样品的直接测量。

Proximal sensor-enhanced soil mapping in complex soil-landscape areas of Brazil

Portable X-ray fluorescence(pXRF) spectrometry and magnetic susceptibility(MS) via magnetometer have been increasingly used with terrain variables for digital soil mapping. However, this methodology is still emerging in many countries with tropical soils. The objective of this study was to use proximal soil sensor data associated with terrain variables at varying spatial resolutions to predict soil classes using the Random Forest(RF) algorithm. The study was conducted on a 316-ha area featuring highly variable soil classes and complex soil-landscape relationships in Minas Gerais State, Brazil. The overall accuracy and Kappa index were evaluated using soils that were classified at 118 sites, with 90 being used for modeling and 28 for validation. Digital elevation models(DEMs) were created at 5-, 10-, 20-, and 30-m resolutions using contour lines from two sources. The resulting DEMs were processed to generate 12 terrain variables. Total Fe, Ti, and SiO_(2) contents were obtained using pXRF, with MS determined via a magnetometer. Soil class prediction was performed using the RF algorithm. The quality of the soil maps improved when using only the five most important covariates and combining proximal sensor data with terrain variables at different spatial resolutions. The finest spatial resolution did not always provide the most accurate maps. The high soil complexity in the area prevented highly accurate predictions. The most important variables influencing the soil mapping were MS, Fe, and Ti. Proximal sensor data associated with terrain information were successfully used to map Brazilian soils at variable spatial resolutions.