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Oxygen isotope corrections for online δ34S analysis
被引:97
|作者:
Fry, B
Silva, SR
Kendall, C
Anderson, RK
机构:
[1] US Forest Serv, Inst Pacific Isl Forestry, USDA, Honolulu, HI 96813 USA
[2] US Geol Survey, Menlo Pk, CA 94025 USA
[3] Coastal Sci Labs, Austin, TX 78735 USA
关键词:
D O I:
10.1002/rcm.651
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
Elemental analyzers have been successfully coupled to stable-isotope-ratio mass spectrometers for online measurements of the delta(34)S isotopic Composition of plants, animals and soils. We found that the online technology for automated delta(34)S isotopic determinations did not yield reproducible oxygen isotopic compositions in the SO2 produced, and as a result calculated delta(34)S values were often 1-3parts per thousand high versus their correct values, particularly for plant and animal samples with high C/S ratio. Here we provide empirical and analytical methods for correcting the S isotope values for oxygen isotope variations, and further detail a new SO2-SiO2 buffering method that minimizes detrimental oxygen isotope variations in SO2. Published in 2002 by John Wiley Sons, Ltd.
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页码:854 / 858
页数:5
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