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Updated: May 12, 2025

Bergmeyer Glucose Quantification for Microbiological Samples
Published on: January 17, 2025
Development of an isotope dilution gas chromatography - mass spectrometry candidate reference measurement procedure
Komal Dahya1, Heather C Kuiper1, Sarah W Kingsley2
1Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Introduction:
Diabetes is the seventh leading cause of death in the United States, impacting over 37 million people. Accurate glucose measurements are critical for effective diabetes management. A reliable candidate reference measurement procedure (cRMP) for assessing the analytical performance of glucose tests performed in patient care is essential for ensuring measurement accuracy.
Methods:
We have developed a gas chromatography-mass spectrometry (GC-MS)-based cRMP for glucose in human serum. In this procedure, glucose is measured as the aldononitrile acetate derivative and quantitated using a 13C6-glucose internal standard.
Results:
Analytical selectivity was achieved through chromatographic separation and monitoring the quantitation ion/confirmation ion ratios in samples. With bias ranging from -0.79 % to 0.67 % for eight levels of serum-based certified reference materials from the National Institute of Standards and Technology (NIST) and Laboratoire national de métrologie et d'essais (LNE) and total CVs of 1.11 %, 0.68 % and 0.74 % at the low, medium, and high glucose concentration levels, respectively, the cRMP provided excellent accuracy and precision. The calibration curve was linear throughout the 13.51-378.21 mg/dL [0.75-21 mmol/L] measurement range (R2 = 0.9999), with a mean slope of 270.73 (95 % CI, 270.19 to 271.27) and an intercept of 0.021 (95 % CI, -0.157 to 0.199). The limit of detection was 0.25 mg/dL (0.014 mmol/L) and the limit of quantitation was 0.83 mg/dL (0.046 mmol/L).
Conclusion:
The described GC-MS method, with metrological traceability to the International System of Units (SI), provides highly accurate and precise measurements of glucose in human serum.
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