NIST NCI MICRONUTRIENTS MEASUREMENT QUALITY ASSURANCE PROGRAM - MEASUREMENT REPEATABILITIES AND REPRODUCIBILITIES FOR FAT-SOLUBLE VITAMIN-RELATED COMPOUNDS IN HUMAN SERA/
Dl. Duewer et al., NIST NCI MICRONUTRIENTS MEASUREMENT QUALITY ASSURANCE PROGRAM - MEASUREMENT REPEATABILITIES AND REPRODUCIBILITIES FOR FAT-SOLUBLE VITAMIN-RELATED COMPOUNDS IN HUMAN SERA/, Analytical chemistry, 69(7), 1997, pp. 1406-1413
The NIST/NCI Micronutrient Measurement Quality Assurance Program has c
onducted 33 interlaboratory comparison exercises for fat-soluble vitam
in-related compounds in human sera over the past 12 years, Periodic re
analysis of lyophilized serum samples prepared from more than 70 diffe
rent sera has enabled estimation of the short- and long-term measureme
nt characteristics. Median- and interquartile-range-based statistics a
dequately estimate the distribution of results from laboratories that
are in analytical control from total distributions that include a sign
ificant minority of outlier data, Short-term interlaboratory reproduci
bility standard deviations (SDs) are predictable functions of analyte
concentration, with an asymptotic limit at low analyte concentration a
nd a linear relationship at high concentrations, Long-term trends in t
he interlaboratory reproducibility can be estimated by standardizing t
he short-term SD at the observed analyte concentration to an expected
SD at a given physiologically significant analyte concentration. The '
'average'' laboratory's same-day analytical repeatability SD is about
one-third of the estimated interlaboratory reproducibility; repeatabil
ity for longer periods between analyses is, on average, no better than
the reproducibility. While a few exceptional laboratories have mainta
ined excellent repeatability over the entire decade, long-term study m
easurements generated within a single laboratory are not generally mor
e internally consistent than results from multiple laboratories, Enhan
ced and more consistently implemented intralaboratory quality control
and quality assurance methods are required to further improve and main
tain interlaboratory measurement comparability.