Fully automatic and precise data analysis developed for time-of-flight mass spectrometry
Stefan Meyer1, Andreas Riedo1,2, Maike B Neuland1,3
1Space Research and Planetary Sciences, Physics Institute, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.
Journal of Mass Spectrometry : JMS
|July 1, 2017
Summary
This study introduces automated software for analyzing time-of-flight mass spectrometry data from space missions. The software provides fast, accurate isotope ratio analysis, crucial for investigating planetary habitability and life signatures.
Area of Science:
- Planetary Science and Astrobiology
- Analytical Chemistry
- Space Mission Instrumentation
Background:
- Space missions aim to understand solar system origins, evolution, and habitability.
- In situ chemical analysis of planetary samples often uses time-of-flight mass spectrometry.
- Current data analysis methods require improvement in speed, robustness, and accuracy for large datasets.
Purpose of the Study:
- To present and detail an automated data analysis software for time-of-flight mass spectrometry.
- To enable fast, precise, and accurate quantitative analysis of complex space mission data.
- To enhance the investigation of planetary composition, habitability, and potential biosignatures.
Main Methods:
- Development of a robust and fast peak finding algorithm.
- Implementation of a consecutive numerical integration method for precise data quantification.
- Testing the software with data from various time-of-flight mass spectrometers and missions.
Main Results:
- The automated software achieves high accuracy (up to 100 ppm) for isotope ratio analysis.
- Accuracy is proportional to signal-to-noise ratio (SNR) and inversely proportional to mass resolution.
- Isotope ratio accuracy also depends on sample width (Ts0.5).
Conclusions:
- The developed software offers a significant advancement in analyzing space mission mass spectrometry data.
- Automated analysis improves efficiency and accuracy for in situ planetary investigations.
- This tool supports the search for habitability and life signatures in the solar system.
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