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University of Ontario Institute of Technology

Towards low dose retrospective dosimetry on shelled species

Abstract

dc:description.abstract

This work investigates calcified tissues of shelled species for retrospective dosimetry using electron paramagnetic resonance (EPR) spectroscopy. To determine applicable samples for low dose studies, shells of crustacean and mollusc species were irradiated to 10 Gy using a 137Cs source. Reference dosimetry was performed with alanine powder using a specifically developed calibration curve. Characteristic Mn2+ signals were present in the EPR spectra of all studied species. Radiation induced peaks were not detected in shells of any species except terrestrial snails. A dose-response curve for terrestrial snails was developed by irradiating shells to 2, 10, and 20 Gy. However, Mn2+ signals caused limitations in resolving radiation induced peaks below 2 Gy. Environmental factors were assessed, and it was found that shell structure and habitat characteristics contribute to Mn2+ signals in EPR spectra. Since high-intensity Mn2+ signals obscured radiation-induced peaks, shells of the studied aquatic species were deemed unsuitable for low dose retrospective dosimetry.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Nuclear Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hassan, Amna
Advisor dc:contributor.advisor
  • Waller, Ed

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1213
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1213

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hassan, Amna. Towards low dose retrospective dosimetry on shelled species. University of Ontario Institute of Technology, 2020. https://hdl.handle.net/10155/1213