Library optimization in EDXRF spectral deconvolution for multi‐element analysis of ambient aerosols |
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| Authors: | Robert B. Kellogg Robert D. Willis |
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| Affiliation: | 1. Alion Science and Technology, P.O. Box 12313, Research Triangle Park, NC 27709, USA;2. National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA;3. The contributions of Robert D.Willis to this article were prepared as part of their official duties as United States Federal Government employee. |
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| Abstract: | In multi‐element analysis of atmospheric aerosols, attempts are made to fit overlapping elemental spectral lines for many elements that may be undetectable in samples due to low concentrations. Fitting with many library reference spectra has the unwanted effect of raising the analytical uncertainty of overlapping elements. By carefully choosing the order of elemental processing, library reference spectra can be omitted for non‐analyte lines of undetected elements without loss of information, thus lowering the number of library spectra needed for the fit and thereby reducing the uncertainty. The magnitude of the reduction so achieved is shown for blanks and a sample for 64 elements. Copyright © 2009 John Wiley & Sons, Ltd. |
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