In this article, an investigation into the natural radioactivity content in natural inorganic pigments was carried out, together with the assessment of the radiological health risk for the public related to external exposure to ionizing radiations, via High-Purity Germanium (HPGe) γ-ray spectrometry measurements and the calculation of several indices like the absorbed γ-dose rate (D), the annual effective dose equivalent outdoor (AEDEout) and indoor (AEDEin), and the activity concentration index (I). From the obtained results, it was possible to reasonably exclude radiological hazard effects. In addition, Pearson’s correlation, principal component analysis (PCA), and hierarchical cluster analysis (HCA) were carried out with the aim of determining correlations between natural radioactivity content and radiological indices and with the analyzed samples. As a result, five clusters of the investigated pigments were recognized at the highest level of detail based on their chemical composition and mineralogical nature.

An Assessment of the Natural Radioactivity Content in Pigments and an Estimation of the Radiological Health Risk for the Public

Caridi, Francesco;Paladini, Giuseppe;Majolino, Domenico;Venuti, Valentina
2024-01-01

Abstract

In this article, an investigation into the natural radioactivity content in natural inorganic pigments was carried out, together with the assessment of the radiological health risk for the public related to external exposure to ionizing radiations, via High-Purity Germanium (HPGe) γ-ray spectrometry measurements and the calculation of several indices like the absorbed γ-dose rate (D), the annual effective dose equivalent outdoor (AEDEout) and indoor (AEDEin), and the activity concentration index (I). From the obtained results, it was possible to reasonably exclude radiological hazard effects. In addition, Pearson’s correlation, principal component analysis (PCA), and hierarchical cluster analysis (HCA) were carried out with the aim of determining correlations between natural radioactivity content and radiological indices and with the analyzed samples. As a result, five clusters of the investigated pigments were recognized at the highest level of detail based on their chemical composition and mineralogical nature.
2024
Inglese
Inglese
ELETTRONICO
Multidisciplinary Digital Publishing Institute (MDPI)
14
7
3021_1
3021_10
10
Internazionale
Esperti anonimi
hierarchical cluster analysis; multivariate statistics; Pearson’s correlation; pigments; principal component analysis; radioactivity; radiological risk
no
info:eu-repo/semantics/article
Caridi, Francesco; Mottese, Antonio Francesco; Paladini, Giuseppe; Marguccio, Santina; D'Agostino, Maurizio; Belvedere, Alberto; Majolino, Domenico; V...espandi
14.a Contributo in Rivista::14.a.1 Articolo su rivista
8
262
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3322313
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