The suitability of XRF analysis for compositional classification of archaeological ceramic fabric: A comparison with a previous NAA study

Characterization of Iron age pottery from eastern Turkey by laser- induced breakdown spectroscopy (LIBS)

“…On the other hand, since potters tend to process these raw materials, for instance by mixing different kinds of clay or mixing clays with crushed rocks, the composition of a ceramic sherd would also highlight the technological choices the potter made for the production of their pottery. In the case of elemental composition, the most widely used techniques are neutron activation analysis (NAA) and X-ray fluorescence (XRF) spectroscopy (Tsolakidou and Kilikoglou, 2002;Glascock et al, 2004;Barone et al, 2005;Padilla et al, 2006).…”

A technique for determination of metallic impurities in Al2O3 matrix by EDXRF

“…These methods require different calibration plots based on the matrices & B. Rajeswari rajibala@barc.gov.in under study and hence are generally more suitable for determining the elemental ratio rather than absolute concentrations [11]. In particular, EDXRF is being extensively used for determination of impurities in a wide variety of samples such as liquid environmental samples [12], archaeological ceramic fabric [13] etc. Besides these, the technique is being widely used for routine process control of metallic/non-metallic impurities in the production of steel, alloys, cement, oil [14] and clay like Kaoline [15].…”

Application of radioisotope XRF and thermoluminescence (TL) dating in investigation of pottery from Tell AL-Kasra archaeological site, Syria

“…A lot of analytical methods are widely applied nowadays for classifying the origin of archaeological pottery based on their chemical composition, among them particle induced X-ray emission (PIXE) and X-ray fluorescence analysis (Bakraji et al, 2011;Centeno et al, 2012;Roumie et al, 2010;Padilla et al, 2006;Attaelmanan and Mouton, 2014) and neutron activation analysis (NAA) (Sayre Edwared and Dodson, 1957;Bakraji, 2005;Dasari et al, 2013;Vaughn et al, 2006), as these methods permit the determination of multi-elements simultaneously with high sensitivity, accuracy and precision. The statistical treatment of the elemental concentration helps to determine similarities and correlations between the analyzed pottery fragments, and then classify the pottery sherds into groups.…”