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Differentiation of the observed low frequency (1200 MHz) EPR signals in whole human teeth

Abstract

We have determined the properties of the various signals that are observed in vivo so this information can be used to develop procedures for data acquisition and data analysis that will enable the accurate determination of radiation-induced dose with a resolution of 50 cGy. Using the 1200 MHz in vivo EPR spectrometer and isolated human teeth, we found four types of signals whose properties overlap, but also have some distinct properties that can be exploited to resolve them. The intrinsic background signal in human teeth differs modestly from the radiation-induced signal in g-factor, shape, and power saturation. Random noise from instrumental conditions can be reduced with signal averaging. The microphonic signal varies with the particular experimental setup and has some properties similar to real EPR signals, but is constant if the conditions are not changed. It can be suppressed by improvements in hardware and software, or subtracted.
Authors:
Iwasaki, Akinori; [1]  Walczak, Tadeusz; [1]  Grinberg, Oleg; [1]  Swartz, Harold M [1] 
  1. Department of Radiology, Dartmouth Medical School, 702 Vail, Hanover, NH 03755 (United States)
Publication Date:
Feb 01, 2005
Product Type:
Journal Article
Resource Relation:
Journal Name: Applied Radiation and Isotopes; Journal Volume: 62; Journal Issue: 2; Conference: 6. international symposium on ESR dosimetry and applications, Campos do Jordao (Brazil), 12-16 Oct 2003; Other Information: DOI: 10.1016/j.apradiso.2004.08.038; PII: S0969-8043(04)00487-7; Copyright (c) 2004 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA); PBD: Feb 2005
Subject:
60 APPLIED LIFE SCIENCES; COMPUTER CODES; DATA ACQUISITION; DATA ANALYSIS; DOSIMETRY; ELECTRON SPIN RESONANCE; EPR SPECTROMETERS; GHZ RANGE 01-100; HUMAN POPULATIONS; IN VIVO; LANDE FACTOR; RADIATION DOSES; TEETH
OSTI ID:
20620148
Country of Origin:
United Kingdom
Language:
English
Other Identifying Numbers:
Journal ID: ISSN 0969-8043; ARISEF; TRN: GB05R1336063798
Submitting Site:
GBN
Size:
page(s) 133-139
Announcement Date:
Aug 28, 2005

Citation Formats

Iwasaki, Akinori, Walczak, Tadeusz, Grinberg, Oleg, and Swartz, Harold M. Differentiation of the observed low frequency (1200 MHz) EPR signals in whole human teeth. United Kingdom: N. p., 2005. Web. doi:10.1016/j.apradiso.2004.08.038.
Iwasaki, Akinori, Walczak, Tadeusz, Grinberg, Oleg, & Swartz, Harold M. Differentiation of the observed low frequency (1200 MHz) EPR signals in whole human teeth. United Kingdom. https://doi.org/10.1016/j.apradiso.2004.08.038
Iwasaki, Akinori, Walczak, Tadeusz, Grinberg, Oleg, and Swartz, Harold M. 2005. "Differentiation of the observed low frequency (1200 MHz) EPR signals in whole human teeth." United Kingdom. https://doi.org/10.1016/j.apradiso.2004.08.038.
@misc{etde_20620148,
title = {Differentiation of the observed low frequency (1200 MHz) EPR signals in whole human teeth}
author = {Iwasaki, Akinori, Walczak, Tadeusz, Grinberg, Oleg, and Swartz, Harold M}
abstractNote = {We have determined the properties of the various signals that are observed in vivo so this information can be used to develop procedures for data acquisition and data analysis that will enable the accurate determination of radiation-induced dose with a resolution of 50 cGy. Using the 1200 MHz in vivo EPR spectrometer and isolated human teeth, we found four types of signals whose properties overlap, but also have some distinct properties that can be exploited to resolve them. The intrinsic background signal in human teeth differs modestly from the radiation-induced signal in g-factor, shape, and power saturation. Random noise from instrumental conditions can be reduced with signal averaging. The microphonic signal varies with the particular experimental setup and has some properties similar to real EPR signals, but is constant if the conditions are not changed. It can be suppressed by improvements in hardware and software, or subtracted.}
doi = {10.1016/j.apradiso.2004.08.038}
journal = []
issue = {2}
volume = {62}
journal type = {AC}
place = {United Kingdom}
year = {2005}
month = {Feb}
}