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Related Experiment Videos

A simple, practical methodology for routine VSMOW/SLAP normalization of water samples analyzed by continuous flow

Nelson1

  • 1Dept. of Geology, Brigham Young University, Provo, Utah 84602, USA.

Rapid Communications in Mass Spectrometry : RCM
|June 22, 2000
PubMed
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Accurate stable isotope data comparison requires normalization. This study presents a simple method using secondary standards to normalize oxygen and hydrogen isotope ratios in water, improving inter-laboratory data comparability.

Area of Science:

  • Geochemistry
  • Environmental Science
  • Analytical Chemistry

Background:

  • Stable isotope data require normalization for accurate inter-laboratory comparisons, especially for water samples with natural variations in oxygen and hydrogen isotope ratios.
  • Uncorrected data can lead to significant systematic errors in continuous flow applications.

Purpose of the Study:

  • To present a simple normalization procedure for stable isotope data.
  • To facilitate meaningful inter-laboratory comparisons of oxygen and hydrogen isotope ratios in water.

Main Methods:

  • Normalization to the Vienna Standard Mean Ocean Water/Standard Light Antarctic Precipitation (VSMOW/SLAP) scale using secondary laboratory standards.
  • Analysis of secondary standards alongside unknown samples, plotting measured against calibrated delta values.

Related Experiment Videos

  • Application of linear regression to normalize unknown sample data.

    • Main Results:

    • The described normalization method achieves a one-sigma standard deviation of less than or equal to 0.1 per thousand for replicate samples using a Finnigan GasbenchII.
    • This approach simplifies the process by reducing the need for precise calibration of reference gases, absolute temperature control, or H(3(+)) determination for deltaD(VSMOW) measurements.

    Conclusions:

    • The presented method provides a reliable and straightforward approach for normalizing stable isotope data in water.
    • This normalization technique enhances the comparability of data across different laboratories and analytical setups.