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Updated: Jul 31, 2025

Improving Infrared Spectroscopy Characterization of Soil Organic Matter with Spectral Subtractions
Published on: January 10, 2019
Constraining the Rosalind Franklin Rover/Ma_MISS Instrument Capability in the Detection of Organics
M Ferrari1, S De Angelis1, M C De Sanctis1
1Institute for Space Astrophysics and Planetology, IAPS-INAF, Rome, Italy.
The Mars Multispectral Imager for Subsurface Studies (Ma_MISS) instrument can detect organic material in Martian soil. This spectrometer, integrated into the Rosalind Franklin rover, identifies organic compounds down to 1 wt % in subsurface samples.
Area of Science:
- Planetary Science
- Astrobiology
- Spectroscopy
Background:
- The ESA Rosalind Franklin rover's Mars Multispectral Imager for Subsurface Studies (Ma_MISS) is designed for in-situ analysis of the Martian subsurface.
- Ma_MISS utilizes visible and near-infrared spectroscopy to determine rock composition, material properties, and geological processes.
Purpose of the Study:
- To assess the capability of the Ma_MISS instrument to detect organic matter in Martian subsurface samples.
- To investigate the detection limits and spectral characteristics of various organic compounds mixed with Martian regolith simulants.
Main Methods:
- Preparation of mineral/organic mixtures using kaolinite and nontronite with glycine, asphaltite, polyoxymethylene, and benzoic acid.
- Acquisition of laboratory spectral data using a Ma_MISS instrument model on these prepared mixtures.
- Analysis of spectral data to determine the detection limits and identify spectral signatures of organic matter.
Main Results:
- The Ma_MISS instrument can detect organic material down to approximately 1 wt % abundance.
- Spectral analysis successfully distinguished between mineral-only and mineral/organic mixtures, even for fine-grained samples below the instrument's spatial resolution.
- Multiple contiguous measurements can enhance the detection of organic matter in clay-rich soils.
Conclusions:
- The Ma_MISS instrument is capable of detecting significant organic material in the Martian subsurface.
- Spectral data analysis techniques can overcome limitations posed by grain size and low organic abundance.
- Ma_MISS data will be crucial for identifying potential biomarkers and understanding subsurface geology on Mars.
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