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Error propagation in normalization of stable isotope data: a Monte Carlo analysis.

Grzegorz Skrzypek1, Rohan Sadler, Debajyoti Paul

  • 1West Australian Biogeochemistry Centre, John de Laeter Centre of Mass Spectrometry, School of Plant Biology, The University of Western Australia, 35 Stirling Highway (MO90), Crawley WA 6009, Australia. grzegorz.skrzypek@uwa.edu.au

Rapid Communications in Mass Spectrometry : RCM
|September 4, 2010
PubMed
Summary

Accurate isotope composition determination requires careful normalization of mass spectrometer data. Using multiple reference standards and repetitions minimizes normalization errors for reliable stable isotope analysis.

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