Comparison of two in vitro methods of bone lead analysis and the implications for in vivo measurements
- 1 November 1986
- journal article
- research article
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 31 (11), 1267-1274
- https://doi.org/10.1088/0031-9155/31/11/008
Abstract
Atomic absorption spectrometry and X-ray fluorescence have been used to determine the lead content of metatarsal and tibia bone samples. For a range of bone lead levels from 6.5 to 83 mu g g-1 of ashed bone there is no evidence of a systematic difference between the two techniques of more than 1 mu g g-1. There is however, some evidence that random differences between the two in vitro analyses applied to the same bone sample are larger than can be accounted for by known measurement uncertainties. Variations in bone composition could account for these differences. Because the X-ray fluorescence technique is applied to an identical way to in vivo analysis, it is concluded that the uncertainties in in vivo measurements are small.This publication has 7 references indexed in Scilit:
- In vivo measurement of lead in bone using X-ray fluorescencePhysics in Medicine & Biology, 1985
- Lead in bone III. Prediction of social correlates from skeletal lead content in four Colonial American populations (Catoctin Furnace, College Landing, Governor's Land, and Irene Mound)American Journal of Physical Anthropology, 1985
- Lead in finger‐bone analysed in vivo in active and retired lead workersAmerican Journal of Industrial Medicine, 1984
- Lead in bone II: Skeletal‐lead content as an indicator of lifetime lead ingestion and the social correlates in an archaeological populationAmerican Journal of Physical Anthropology, 1981
- Lead in Bone: I. Direct Analysis for Lead in Milligram Quantities of Bone Ash by Graphite Furnace Atomic Absorption SpectroscopyAmerican Journal of Clinical Pathology, 1981
- Lead and Barium in Archaeological Roman Skeletons Measured by Nondestructive X-Ray Fluorescence AnalysisAdvances in X-ray Analysis, 1980
- An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of the Society for Industrial and Applied Mathematics, 1963