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Micro Raman spectroscopy of carbonaceous material in microfossils and meteorites: improving a method for life
D M Bower1, A Steele, M D Fries
1Geophysical Laboratory, Carnegie Institution of Washington, Washington, DC 20015, USA. dbower@ciw.edu
Astrobiology
|December 28, 2012
Summary
Identifying biosignatures for extraterrestrial life detection is key in astrobiology. This study uses micro Raman spectroscopy to analyze carbon in microfossils, correlating spectral data with carbon origin and thermal history for better life signal identification.
Area of Science:
- Astrobiology
- Geochemistry
- Spectroscopy
Background:
- Detecting extraterrestrial life relies on identifying unambiguous biosignatures.
- Micro Raman spectroscopy is a nondestructive technique for analyzing minerals and compounds.
- Current methods for identifying biogenic carbon in microfossils are limited by shared spectroscopic characteristics with abiotic sources.
Purpose of the Study:
- To improve analytical techniques for identifying biosignatures.
- To investigate the nature and origin of carbonaceous material in microfossils using micro Raman spectroscopy.
- To establish reliable indicators for the biogenicity of carbon in microfossils.
Main Methods:
- Analysis of microfossils from sedimentary rocks of various ages using micro Raman spectroscopy.
- Micro Raman analysis of well-characterized meteorite samples as abiological controls.
- Characterization of D (∼1350 cm⁻¹) and G (∼1580 cm⁻¹) band parameters in carbonaceous materials.
Main Results:
- A correlation was observed between precursor carbonaceous material and D-band parameters.
- A correlation was observed between thermal history and G-band parameters.
- The study provides a framework for using G- and D-band trends to infer carbon origin in microfossils.
Conclusions:
- Micro Raman spectroscopy, analyzing D- and G-band parameters, shows promise for determining the origin of carbon in microfossils.
- Further research is needed to characterize carbonaceous material across diverse microfossil samples.
- This work is foundational for developing unambiguous biosignature detection methods.
