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Rapid Communications in Mass Spectrometry
Article . 2003 . Peer-reviewed
License: Wiley Online Library User Agreement
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Amount‐dependent isotopic fractionation during compound‐specific isotope analysis

Authors: Schmitt, Jochen; Glaser, B.; Zech, W.;

Amount‐dependent isotopic fractionation during compound‐specific isotope analysis

Abstract

Abstract The performance of a gas chromatography‐combustion‐isotope ratio mass spectrometry system (GC‐C‐IRMS) with respect to the dependence of δ 13 C values on the amount of sample is presented. Particular attention is paid to the localization of the amount‐dependent isotopic fractionation within the system. Injection experiments with varying amounts of gases (CO 2 , n‐hexane, and toluene) revealed that neither the detector unit nor the combustion reactor, but rather the conditions in the split/splitless injector, contributed to this effect. Although optimization of injector parameters was performed and a reduction of this adverse effect from 3 to 1‰ was achieved, it was not possible to eliminate isotopic fractionation completely. Consequently, additional injector parameters have to be considered and adjusted to achieve injection conditions free of fractionation. For routine analysis of the compound‐specific δ 13 C analysis of different biomarkers in many environmental samples, perfect optimization may not always be reached. Therefore, in order to prevent systematic errors in the measured δ 13 C values due to different sample concentrations, it is suggested that correction for the remaining unknown amount‐dependent fractionation can be made by means of co‐analyzing standards of varying analyte concentrations and known δ 13 C values. Residual overall amount‐dependent isotope‐fractionation can thus be corrected mathematically. Copyright © 2003 John Wiley & Sons, Ltd.

Country
Germany
Keywords

Carbon Isotopes, Amino Sugars, Carbon Dioxide, Reference Standards, Lignin, Gas Chromatography-Mass Spectrometry, Phenols, Linear Models, Hexanes, Indicators and Reagents, Amino Acids, Algorithms, Phospholipids, Toluene

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 10%
Top 10%
Top 10%
Green
bronze