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Innovative Detection Techniques for Ionizing Radiation in Medicine, Environment and...
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Innovative Detection Techniques for Ionizing Radiation in Medicine, Environment and Space

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 2088

Special Issue Editors

Dr. Giuseppe La Verde

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Guest Editor
1. Department of Physics “E. Pancini”, University of Naples Federico II, 80126 Naples, Italy
2. National Institute of Nuclear Physics (INFN), Naples Section, 80126 Naples, Italy
Interests: radiation; radon; dosimetry; passive radon detector; gamma spettroscopy; alpha spettroscopy; ionizing radiation; gamma radiation; electret
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Mariagabriella Pugliese

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Guest Editor
1. National Institute for Nuclear Physics (INFN), Via Cinthia ed. 6, 80126 Naples, Italy
2. Department of Physics “E.Pancini”, University of Naples Federico II, Via Cinthia ed. 6, 80126 Naples, Italy
Interests: environmental radioactivity; air quality; radiation measurements; radiation protection
Special Issues, Collections and Topics in MDPI journals
Dr. Marina Poje Sovilj

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Guest Editor
Department of Physics, University J.J. Strossmayer of Osijek, Osijek, Croatia
Interests: radon–radiation measurements in air, water and soil; soil permeability; environmental radioactivity; neutron dosimetry
Prof. Dr. Roberto Senesi

E-Mail Website
Guest Editor
Department of Physics, Università degli Studi di Roma Tor Vergata, Rome, Italy
Interests: condensed matter; epithermal neutron instrumentation; neutron scattering

Special Issue Information

Dear Colleagues,

We are witnessing a growing interest in the monitoring of ionizing radiation both due to the legislative updates following the transposition of the European Directive 59/2013 EURATOM (which represents the Basic Safety Standards—BSS), and due to the increase in awareness of the risks associated with exposures. In addition to living and working environments, another frontier is the exposure of astronauts.

This Special Issue therefore aims to gather original research and review articles on recent advances, technologies, solutions, applications and new challenges in the field of detection techniques for ionizing radiation.

Potential topics include, but are not limited to, the following:

  • Passive detectors;
  • Active detectors;
  • Continuous monitoring;
  • Clinical dosimetry;
  • Space dosimetry;
  • Environmental dosimetry;
  • Monte Carlo simulation in clinical dosimetry.

This topic falls within the scope of Sensors as it concerns studies and progress in the development and use of sensory devices and their application in industry, the environment and, in particular, work and life scenarios.

Dr. Giuseppe La Verde
Prof. Dr. Mariagabriella Pugliese
Dr. Marina Poje Sovilj
Prof. Dr. Roberto Senesi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ionizing radiation
  • radiation protection
  • radioactivity measurements
  • mapping
  • radiometric characterization
  • environment

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Published Papers (2 papers)

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Research

15 pages, 1769 KiB  
Article
Exposure Time Dependence of Operators’ Head Entrance Air Kerma in Interventional Radiology Measured by TLD-100H Chips
by Rocco Mottareale, Francesco Manna, Patrizio Antonio Carmosino, Francesco Fiore, Marco Correra, Salvatore Stilo, Luca Tarotto and Mariagabriella Pugliese
Sensors 2025, 25(12), 3666; https://doi.org/10.3390/s25123666 - 11 Jun 2025
Viewed by 353
Abstract
Interventional radiology offers minimally invasive procedures guided by real-time imaging, reducing surgical risks and enhancing patient recovery. While beneficial to patients, these advancements increase occupational hazards for physicians due to chronic exposure to ionizing radiation. This exposure raises health risks like radiation-induced cataracts, [...] Read more.
Interventional radiology offers minimally invasive procedures guided by real-time imaging, reducing surgical risks and enhancing patient recovery. While beneficial to patients, these advancements increase occupational hazards for physicians due to chronic exposure to ionizing radiation. This exposure raises health risks like radiation-induced cataracts, cardiovascular disease, and cancer. Despite regulations like the European Council Directive 2013/59/EURATOM, which sets limits on whole-body and eye lens doses, no dose limits exist for the brain and meninges, since the brain has traditionally been considered a radioresistant organ. Recent studies, however, have highlighted radiation-induced brain damage, suggesting that meningeal exposure in interventional radiology may be underestimated. This study evaluates the entrance air Cumulative mean annual entrance air kerma to the skullull during interventional radiology procedures, using thermoluminescent dosimeters and controlled exposure simulations. Data were collected by varying the exposure time and analyzing the contribution to the entrance air kerma on each side of the head. The results indicate that, considering the attenuation of the cranial bone, the absorbed dose to the brain, obtained by averaging the head entrance air kerma for the right, front, and left sides of the operator’s head, could represent 0.81% to 2.18% of the annual regulatory limit in Italy of 20 mSv for the average annual effective dose of exposed workers (LD 101/2020). These results provide an assessment of brain exposure, highlighting the relatively low but non-negligible contribution of brain irradiation to the overall occupational dose constraint. Additionally, a correlation between entrance air kerma and the Kerma-Area Product was observed, providing a potential method for improved dose estimation and enhanced radiation safety for interventional radiologists. Full article
(This article belongs to the Special Issue Innovative Detection Techniques for Ionizing Radiation in Medicine, Environment and Space)
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9 pages, 2029 KiB  
Article
Pulse Shape Discrimination of n/γ in Liquid Scintillator at PMT Nonlinear Region Using Artificial Neural Network Technique
by Eungyu Yun, Ji Young Choi, Sang Yong Kim and Kyung Kwang Joo
Sensors 2024, 24(24), 8060; https://doi.org/10.3390/s24248060 - 18 Dec 2024
Viewed by 1110
Abstract
Reactor-emitted electron antineutrinos can be detected via the inverse beta decay reaction, which produces a characteristic signal: a two-fold coincidence between a prompt positron event and a delayed neutron capture event within a specific time frame. While liquid scintillators are widely used for [...] Read more.
Reactor-emitted electron antineutrinos can be detected via the inverse beta decay reaction, which produces a characteristic signal: a two-fold coincidence between a prompt positron event and a delayed neutron capture event within a specific time frame. While liquid scintillators are widely used for detecting neutrinos reacting with matter, detection is difficult because of the low interaction of neutrinos. In particular, it is important to distinguish between neutron (n) and gamma (γ) signals. The principle of the interaction of neutrons with matter differs from that of gamma rays with matter, and hence the detection signal’s waveform is different. Conventionally, pulse shape discrimination (PSD) is used for n/γ separation. This study developed a machine learning method to see if it is more efficient than the traditional PSD method. The possibility of n/γ discrimination in the region beyond the linear response limits was also examined, by using 10- and 2-inch photomultiplier tubes (PMTs) simultaneously. To the best of our knowledge, no study has attempted PSD in a PMT nonlinear region using artificial neural networks. Our results indicate that the proposed method has the potential to distinguish between n and γ signals in a nonlinear region. Full article
(This article belongs to the Special Issue Innovative Detection Techniques for Ionizing Radiation in Medicine, Environment and Space)
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