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The Monte Carlo—Library Least-Squares approach for energy-dispersive x-ray fluorescence analysis

✍ Scribed by T. He; R.P. Gardner; K. Verghese

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
819 KB
Volume
44
Category
Article
ISSN
0969-8043

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✦ Synopsis

A new analysis principle called Monte Carlo-Library Least-Squares (MCLLS) approach has been identified and inv&igated for quantitative energy dispersive x-ray fluorescence a&y&s. The feasibility of the MCLLS principle has been investiaated with a radioisototze source excited EDXRF analytical system for sever-al standard samples of known composition. With good initial elemental composition guesses, the MCLLS results showed excellent agreement with the elemental compositions in the standard samples. Furthermore, by taking the ratio of the photoelectric peak counts in the sample experimental spectra as approximate initial guesses, the proposed iterative MCLLS algorithm works quite well, converging to the correct elemental compositions. Only one iteration was needed for the analysis of all major elements. For trace elements a second iteration was needed in some cases. Other possible applications of the MCLLS approach and future work are also discussed.

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