Abstract: In air particulate matter, sampled at a suburban site near the city of Antwerp, Belgium, more than 1500 individual Pb-containing aerosol particles with projected diameters between 0.2 and 15 μm were analyzed by automated electron probe X-ray micro analysis (EPXMA) for 26 elements and morphological features. Laser microprobe mass analysis (LAMMA) was used to detect elements with Z < 11, particularly ammonium compounds. The Pb-containing particles were classified into five main classes: Pb-sulfates, Pb-halides, soil related Pb, Pb associated with medium atomic number elements and Pb associated with high atomic number elements. Each class was divided into several distinct particle types, of which the abundance (in number and mass %), the mean projected particle diameter, and the chemical composition were determined. Auto exhaust products are responsible for Pb-sulfates and Pb-halides, making up respectively 66.7 and 27.8% by mass of the Pb-containing particles. Ammonium sulfate coatings were found to be present on nearly all Pb particles. The observations were correlated with daily concentrations of Pb and Br, obtained by particle induced X-ray emission analysis (PIXE).

Abstract: Accuracy and precision of silicon determination in biological matrices (serum, urine, water, beer and spinach) by spectrometric techniques (when necessary after acid destruction) were assessed by means of a collaborative interlaboratory trial. The trial was set up in accordance with ISO 5725-2 (1994). The relative overall repeatability standard deviation was acceptable. It varied between 4% for spinach powder (mean content: 176 mg kg(-1)) and 11% for serum (mean content: 5.33 mg L-1). On the other hand, the relative overall between-laboratory standard deviation was found to vary from a satisfactorily 15% for spinach after destruction (mean content: 3.32 mg L-1) to an unacceptable 107% for spinach powder (mean content: 176 mg kg(-1)). The overall conclusion of the trial was that silicon determination in biological matrices can properly be performed by spectrometric techniques. However, when sample pretreatment (i.e., acid destruction) is needed prior to silicon determination problems still remain.

Abstract: Expressions are presented for calculating the matrix effect and the pure particle size effect in the XRF analysis of particulate samples with a discrete particle size. The equations are based on the absorption-weighted radiometric diameter concept. Two excitationdetection geometries are considered, with the angles between the sample plane and both the incident and emerging radiation being either 90° (π geometry) or 45° (π/2 geometry). Calculations were made for different sample loadings and exciting radiation energies. The influence of these parameters on the matrix and pure particle size effects is shown. From the results, it is possible to predict the performances of alternative experimental correction procedures for the particle size effect, involving dual measurements at different excitation energies or in different excitationdetection geometries.

Abstract: A Monte Carlo simulation has been developed to describe the incoherent and coherent scatter processes for the complex geometry of a secondary target energy-dispersive x-ray fluorescence system. Photons are followed from the x-ray tube anode until the detection of scattered secondary target photons in the active Si layer of the detector. The program quantitatively shows the broadening of the incoherent scatter peak with increasing atomic number, and it models the incoherent peak shape adequately. The incoherent-to-coherent scatter intensity ratios obtained differ by 1030% from the theoretical values, while their dependence on the sample atomic number corresponds to that expected from theory.

Abstract: Most computer XRF-spectrum deconvolution routines make use of fixed intensity ratios for the lines from one element. The magnitude of the error that fixed ratios imply has been quantitatively evaluated for samples with a varible thickness or matrix. A procedure for routinely adapting the line ratios according to the matrix effect in every sample (by making use of the matrix information present in the scatter peaks) enhances the accuracy of the spectrum evaluation.