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EPR dosimetry with tooth enamel: A review
Paola Fattibene1, Freddy Callens
1Istituto Superiore di Sanità, Department of Technology and Health, Viale Regina Elena, Rome, Italy. paola.fattibene@iss.it
Summary
Electron paramagnetic resonance (EPR) dosimetry using tooth enamel detects radiation-induced radicals. This review critically assesses EPR dosimetry methods for accurate radiation dose assessment in enamel.
Area of Science:
- Solid State Physics
- Radiation Dosimetry
- Biomaterials Science
Background:
- Tooth enamel contains radicals detectable by electron paramagnetic resonance (EPR) after radiation exposure.
- EPR dosimetry in enamel relies on correlating radiation-induced signals with absorbed radiation dose.
- Understanding enamel properties and EPR signals is crucial for accurate dosimetry.
Purpose of the Study:
- To critically review the application of electron paramagnetic resonance (EPR) dosimetry using tooth enamel.
- To analyze fundamental aspects of enamel properties, radiation-induced radicals, and EPR detection methods.
- To evaluate practical implementation challenges, uncertainties, and future prospects of enamel EPR dosimetry.
Main Methods:
- Review of fundamental properties of tooth enamel and synthetic apatite model systems.
- Analysis of radiation-induced and native EPR signals and their responsible radicals.
- Evaluation of EPR detection, spectrum analysis, solid-state modeling, and dose-response linearity.
Main Results:
- Detailed examination of EPR signal characteristics and radical identification in irradiated tooth enamel.
- Assessment of sample preparation, irradiation, spectrum acquisition, and data retrieval techniques.
- Discussion of energy dependence, sources of uncertainty, intercomparison results, and epidemiological study challenges.
Conclusions:
- EPR dosimetry with tooth enamel is a widely applied method with established protocols.
- Critical review highlights areas for improvement in understanding signal mechanisms and reducing uncertainties.
- Future research should focus on refining solid-state modeling and dose-response linearity for enhanced accuracy.

