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Analytic requirements for the doubly labeled water method

D A Schoeller1, P B Taylor, K Shay

  • 1Committee on Human Nutrition and Nutritional Biology, University of Chicago, IL 60637, USA.

Obesity Research
|March 1, 1995
PubMed
Summary
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The doubly labeled water method accurately measures energy expenditure. However, isotopic analysis variations can impact its precision and applicability, necessitating careful quality control for reliable results.

Area of Science:

  • Metabolic research
  • Biomedical science
  • Human physiology

Background:

  • The doubly labeled water (DLW) method is a gold standard for measuring total daily energy expenditure in free-living individuals over extended periods.
  • Previous validations suggest the DLW method can achieve a coefficient of variation between 3% and 5%.

Purpose of the Study:

  • To review the analytical requirements for optimal use of the doubly labeled water method.
  • To identify potential sources of error in stable isotope analysis for DLW.
  • To address the impact of interlaboratory variations on DLW method accuracy.

Main Methods:

  • Review of analytical requirements for stable isotope analysis in DLW.
  • Analysis of interlaboratory comparison data for deuterium and 18O enrichment measurements.

Related Experiment Videos

  • Discussion of potential errors in isotopic analysis impacting DLW precision.

    • Main Results:

    • The precision of the DLW method is critically dependent on the quality of isotopic analyses.
    • Significant variations in accuracy and precision exist among laboratories measuring deuterium and 18O enrichments.
    • These interlaboratory differences can limit the overall accuracy and applicability of the DLW technique.

    Conclusions:

    • Ensuring high-quality isotopic analyses is crucial for the accurate application of the doubly labeled water method.
    • Addressing sources of error in stable isotope analysis is necessary to improve DLW method reliability.
    • Standardization and quality control in isotopic measurements are vital for consistent and valid energy expenditure data.