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1.
Radiat Prot Dosimetry ; 172(1-3): 265-274, 2016 Dec.
Article in English | MEDLINE | ID: mdl-27412516

ABSTRACT

The aim of the study is to determine the average intensity and variation of the native background signal amplitude (NSA) and of the solar light-induced signal amplitude (LSA) in electron paramagnetic resonance (EPR) spectra of tooth enamel for different kinds of teeth and different groups of people. These values are necessary for determination of the intensity of the radiation-induced signal amplitude (RSA) by subtraction of the expected NSA and LSA from the total signal amplitude measured in L-band for in vivo EPR dosimetry. Variation of these signals should be taken into account when estimating the uncertainty of the estimated RSA. A new analysis of several hundred EPR spectra that were measured earlier at X-band in a large-scale examination of the population of the Central Russia was performed. Based on this analysis, the average values and the variation (standard deviation, SD) of the amplitude of the NSA for the teeth from different positions, as well as LSA in outer enamel of the front teeth for different population groups, were determined. To convert data acquired at X-band to values corresponding to the conditions of measurement at L-band, the experimental dependencies of the intensities of the RSA, LSA and NSA on the m.w. power, measured at both X and L-band, were analysed. For the two central upper incisors, which are mainly used in in vivo dosimetry, the mean LSA annual rate induced only in the outer side enamel and its variation were obtained as 10 ± 2 (SD = 8) mGy y-1, the same for X- and L-bands (results are presented as the mean ± error of mean). Mean NSA in enamel and its variation for the upper incisors was calculated at 2.0 ± 0.2 (SD = 0.5) Gy, relative to the calibrated RSA dose-response to gamma radiation measured under non-power saturation conditions at X-band. Assuming the same value for L-band under non-power saturating conditions, then for in vivo measurements at L-band at 25 mW (power saturation conditions), a mean NSA and its variation correspond to 4.0 ± 0.4 (SD = 1.0) Gy.


Subject(s)
Background Radiation , Dental Enamel/chemistry , Dental Enamel/radiation effects , Electron Spin Resonance Spectroscopy/methods , Radiation Exposure/statistics & numerical data , Solar Energy , Tooth/radiation effects , Biological Assay/methods , Biological Assay/statistics & numerical data , Electron Spin Resonance Spectroscopy/statistics & numerical data , Female , Humans , Male , Radiation Dosage , Radiation Monitoring/methods , Radiation Monitoring/statistics & numerical data , Reference Values , Reproducibility of Results , Russia , Sensitivity and Specificity , Tooth/chemistry
2.
Radiat Prot Dosimetry ; 159(1-4): 125-9, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24771210

ABSTRACT

A comparative analysis of radiation doses determined by tooth enamel electron paramagnetic resonance (EPR) spectroscopy and by an acknowledged analytical method is performed for individual doses and for average doses in population of some settlements of the Bryansk region (Russia), which have been contaminated after the Chernobyl nuclear accident. The analysis is performed for doses in the range of 0-200 mGy for individuals and in the range of 0-50 mGy for the averaged populations. The method of orthogonal distance linear regression is used for the analysis. For both data sets the slopes of the regression line close to unity and the intercept close to zero are obtained, which indicates that doses determined by these two methods agree with each other. The root-mean-square difference between the results of EPR and analytical methods is estimated to be 35 mGy for individual doses and 15 mGy for averaged doses, which is consistent with uncertainty of these methods.


Subject(s)
Dental Enamel/radiation effects , Electron Spin Resonance Spectroscopy/methods , Radioactive Fallout/analysis , Radioactive Hazard Release , Radioactive Pollutants/analysis , Algorithms , Body Burden , Humans , Radiation Dosage , Radiation Monitoring , Rural Population , Russia
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