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Robustness in NAA evaluated by the Youden and Steiner test
The chemistry laboratory at the Peruvian Institute of Nuclear Energy (IPEN) has carried out a validation method for the samples of siliceous composition. At least seven variables affecting the
Large sample neutron activation analysis of irregular-shaped pottery artifacts
The large sample neutron activation analysis (LSNAA) method developed at NCSR “Demokritos” for large and irregular-shaped objects was applied for the analysis of a Peruvian pottery artifact with the
Wari influence in southern Peru: provenance study of middle horizon pottery from the archaeological site of La Real using k0-INAA
Fragments of archaeological pottery from a rescue excavation at the site of La Real in Arequipa, Peru, were studied by instrumental neutron activation analysis, k0 method. Analytical data were
The k0 and relative INAA methods to determine elements in entire archaeological pottery objects
The advantages of instrumental neutron activation analysis applied to archaeological ceramics have been enhanced through the analysis of entire objects, using both the k0 method and the relative
A novel method for determination of copper in zinc destined to 64Cu production in a nuclear reactor
AbstractThe assay of copper in zinc matrixes by reactor activation analysis presents significant difficulties, since the practicable capture reactions, 63Cu(n,γ)64Cu and 65Cu(n,γ)66Cu, are interfered
Determination of cadmium using radiochemical neutron activation analysis
A method has been developed for the determination of cadmium in samples of food and biological materials using neutron activation analysis with radiochemical separation. The irradiated sample is
Neutron activation analysis of archaeological artifacts using the conventional relative method: a realistic approach for analysis of large samples
A new approach for analysis of entire potsherds of archaeological interest by INAA, using the conventional relative method, is described, to avoid the need of performing complicated effect corrections when dealing with large samples.