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      Quantitative, non-destructive elemental composition analysis of 3D-structured samples

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          Abstract

          By combining the non-destructive position-sensitive prompt-gamma activation analysis, neutron computed tomography, and Monte Carlo computer simulations, quantitative matrix-effect correction of a structured, multi-component sample has been achieved.

          Abstract

          Prompt-gamma activation analysis (PGAA) is a non-destructive nuclear analytical method to determine the bulk elemental composition of samples with very good metrological quality. We have developed an experimental procedure to collect position-sensitive PGAA spectra, and a generally-applicable matrix-effect correction method based on Monte Carlo simulations. This latter eliminates the bias between measurement points of a pencil-beam raster scan, caused by the geometry-dependent neutron self-shielding and gamma-ray self-absorption effects. The procedure has been validated here to perform non-invasive, spatially-resolved, non-destructive bulk analysis of voluminous, inhomogeneous, and/or spatially structured samples.

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          Most cited references35

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          Neutron Capture and Nuclear Constitution

          Niels Bohr (1936)
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            Neutron activation analysis: A primary method of measurement

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              Determining elemental composition using prompt gamma activation analysis.

              Prompt gamma-ray spectra sometimes contain hundreds of characteristic peaks, and the masses of the sample components can be determined from dozens of gamma-ray peak areas, some of which are affected by spectral interferences. Reliable qualitative and quantitative analyses can only be performed by using a precisely calibrated detector system, an accurate spectroscopic data library, high-quality spectroscopy software, and a sophisticated method to convert raw data into chemical composition. This article describes the steps of the chemical analysis with prompt gamma activation analysis (PGAA). A complete data reduction method has been constructed that handles the large number of spectral peaks using statistical procedures, identifies the chemical components based on statistical criteria, and determines the sample composition with a least-squares fit of the masses calculated from the individual peaks. The calculation of the uncertainties as well as the detection and analytical limits are discussed in detail. The validation of the method is also presented. The method can also be used in the evaluation of the results of other spectroscopic techniques.
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                Author and article information

                Contributors
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                Journal
                JASPE2
                Journal of Analytical Atomic Spectrometry
                J. Anal. At. Spectrom.
                Royal Society of Chemistry (RSC)
                0267-9477
                1364-5544
                February 08 2023
                2023
                : 38
                : 2
                : 333-341
                Affiliations
                [1 ]Nuclear Analysis and Radiography Department, Centre for Energy Research, 29-33 Konkoly-Thege Miklós Street, 1121 Budapest, Hungary
                Article
                10.1039/D2JA00316C
                f283eb99-06c9-405f-aa58-a65ed672a32e
                © 2023

                http://creativecommons.org/licenses/by-nc/3.0/

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