Abstract
The aim was to compare potential methods for fluoride analysis in microlitre-volume plasma samples
containing nano-gram amounts of fluoride. Methods: A group of four laboratories analysed a set of
standardised biological samples as well as plasma to determine fluoride concentration using three
methods. In Phase-1, fluoride analysis was carried out using the established HMDS-diffusion method
(1ml-aliquot/analysis) to obtain preliminary measurement of agreement between the laboratories. In
Phase-2, the laboratories analysed the same samples using a micro-diffusion method and knownaddition
technique with 200μl-aliquot/analysis. Coefficients of Variation (CVs) and intra-class
correlation coefficients (ICCs) were estimated using ANOVA to evaluate the amount of variation
within- and between-laboratories. Based on the results of the Phase-2 analysis, 20 human plasma
samples were analysed and compared using the HMDS-diffusion method and known-addition
technique in Phase-3. Results: Comparison of Phase-1 results showed no statistically significant
difference among the laboratories for the overall data set. The mean between- and within-laboratory
CVs and ICCs were <0.13 and ≥0.99, respectively, indicating very low variability and excellent
reliability. In Phase-2, the overall results for between-laboratory variability showed a poor CV (1.16)
and ICC (0.44) for the micro-diffusion method, whereas with the known-addition technique the
corresponding values were 0.49 and 0.83. Phase-3 results showed no statistically significant
difference in fluoride concentrations of the plasma samples measured with HMDS-diffusion method
and known-addition technique, with a mean (SE) difference of 0.002(0.003) μg/ml. In conclusion, the
known-addition technique could be a suitable alternative for measurement of fluoride in plasma with
microlitre-volume samples.
Original language | English |
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Pages (from-to) | 275-283 |
Journal | Caries Research |
Volume | 53 |
Issue number | 3 |
Early online date | 8 Oct 2018 |
DOIs | |
Publication status | Published - 1 Jan 2019 |