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Title

Investigation of Bone Transfer Rates of Plutonium In A Physiologically Based Pharmacokinetic Model

Organization

Department: Nuclear Eng'g & Health Physics

University: Idaho State University College: Science & Engineering Department: Nuclear Eng'g & Health Physics 23

Document Attachments

Resource	Length	Width	Thickness
Paper	0	0	0

Specimen Elements

City

Pocatello

Coverage

Unknown to Unknown

Creator

Micah J. Kingston

Publisher

Idaho State University

Type

Dissertation

Is Complete

No

Date Published

2/3/2025

Archive

digital

City: Pocatello

Degree

Doctorate

Document Attachments

Abstracts

Because many radiological materials are potentially both chemically and radiologically toxic, significant research has been dedicated to the study of the behavior of these materials. This project focuses on the behavior and deposition of plutonium in bone. The current standard for a method to model plutonium’s behavior in the body is ICRP 67. This is a compartmental model that uses physiologically correlated parameters, not actual process kinetics. The lack of identifying specific biochemical or physiological processes and describing their kinetics is thought to be a limiting factor in the predictive capability of their models. The objective of this research was to create a physiologically based pharmacokinetic model to simulate plutonium deposition in bone and have that model meet or exceed the current predictive capability of ICRP 67. This approach was implemented by using systemic and material specific parameters of humans to build a framework from which to start, but due to insufficient human data for Plutonium deposition in bone this work was accomplished using monkey data. Multiple models were tested using a variety of potentially predictive parameters. The volume of distribution of Plutonium (Vd) was postulated to be approximately 3.49 L but was also modeled at multiples of Vd. The model that was considered the most appropriate was model 2E using 10Vd. This model was a closer match to the monkey data points than ICRP 67.