Assessing Possibilities and Limitations for Biomarker Analyses on Outcrop Samples: A Case Study on Carbonates of the Shibantan Member (Ediacaran Period, Dengying Formation, South China)

2014 | journal article. A publication with affiliation to the University of Göttingen.

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​Assessing Possibilities and Limitations for Biomarker Analyses on Outcrop Samples: A Case Study on Carbonates of the Shibantan Member (Ediacaran Period, Dengying Formation, South China)​
Duda, J.-P. ; Thiel, V. ; Reitner, J.   & Blumenberg, M. ​ (2014) 
Acta Geologica Sinica - English Edition88(6) pp. 1696​-1704​.​ DOI: https://doi.org/10.1111/1755-6724.12338 

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Authors
Duda, Jan-Peter ; Thiel, Volker ; Reitner, Joachim ; Blumenberg, Martin 
Abstract
The Shibantan Member (Dengying Formation, South China) represents one of only two carbonate settings with Ediacara-type organisms and offers a rare opportunity to study the biogeochemistry of these ecosystems. To evaluate possibilities and limitations for future biomarker studies on fossil-bearing outcrop samples of the Shibantan Member, we analysed the spatial distribution of hydrocarbons in extractable organic matter (i.e. bitumen) on a millimetre scale. Our study demonstrates that the sample and most likely also other rocks from the same setting are contaminated with petroleum-derived compounds that bear the potential for erroneous interpretations in palaeo-reconstructions. The contamination was revealed by distribution patterns and amounts of extractable n-alkanes and acyclic isoprenoids. The contamination is linked to the external weathering surfaces but also to cracks within the rock, and the extent most likely depends on concentration gradients between these contamination sources. Here we show that contamination can successfully be distinguished from syngenetic signals obtained from non-extractable organic matter (i.e. kerogen) using catalytic hydropyrolysis (HyPy). However, we observed that decalcification is necessary to achieve sufficient yields of kerogen-bound hydrocarbons and to avoid artificial alteration of the biomarker signals due to matrix effects.
Issue Date
2014
Journal
Acta Geologica Sinica - English Edition 
Organization
Abteilung Geobiologie 
ISSN
1755-6724; 1000-9515

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