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The Role of PIXE and XRF in Heritage Science: The INFN-CHNet LABEC Experience

Authors :
Leandro Sottili
Lorenzo Giuntini
Anna Mazzinghi
Mirko Massi
Luca Carraresi
Lisa Castelli
Caroline Czelusniak
Francesca Giambi
Pier Andrea Mandò
Marco Manetti
Chiara Ruberto
Laura Guidorzi
Alessandro Re
Alessandro Lo Giudice
Rodrigo Torres
Francesco Arneodo
Simi Maria Emilia Mangani
Silvia Calusi
Francesco Taccetti
Source :
Applied Sciences. 12:6585
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Analytical techniques play a fundamental role in heritage science. Among them, Particle Induced X-ray Emission (PIXE) and X-ray Fluorescence (XRF) techniques are widely used in many laboratories for elemental composition analysis. Although they are well-established, a strong effort is put on their upgrade, making them suitable for more and more applications. Over the years, at the INFN-LABEC (the laboratory of nuclear techniques for the environment and cultural heritage of the Italian National Institute of Nuclear Physics), the INFN-CHNet group, the network devoted to cultural heritage, has carried out many technological improvements to the PIXE and XRF set-ups for the analysis of works of art and archaeological finds. Among the many, we recall here the scanning external microbeam facility at the TANDEM accelerator and the MA-XRF scanner. The two instruments have shown complementary features: the former permits quantitative analysis of elements heavier than sodium, which is not possible with the latter in most of the case studies. On the contrary, the scanner has the undeniable advantage of portability, allowing it to work in situ. In this framework of technological developments in heritage science, INFN, CERN, and OPD are jointly carrying on the MACHINA (Movable Accelerator for Cultural Heritage In-situ Non-destructive Analysis) project for on-site Ion Beam Analysis (IBA) studies on cultural heritage.

Details

ISSN :
20763417
Volume :
12
Database :
OpenAIRE
Journal :
Applied Sciences
Accession number :
edsair.doi.dedup.....26caf623961fef3aa053aad7188ba354
Full Text :
https://doi.org/10.3390/app12136585