Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument
The detection of biomolecules on Solar System bodies can help us to understand how life emerged on Earth and how life may be distributed in our Solar System. However, the detection of chemical signatures of life on planets or their moons is challenging. A variety of parameters must be considered, su...
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ftunivbern:oai:boris.unibe.ch:170523 2023-08-20T04:09:14+02:00 Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument Schwander, Loraine Ligterink, Niels F.W. Kipfer, Kristina A. Lukmanov, Rustam A. Grimaudo, Valentine Tulej, Marek de Koning, Coenraad P. Keresztes Schmidt, Peter Gruchola, Salome Boeren, Nikita J. Ehrenfreund, Pascale Wurz, Peter Riedo, Andreas 2022 application/pdf https://boris.unibe.ch/170523/1/fspas-09-909193.pdf https://boris.unibe.ch/170523/ eng eng Frontiers Media https://boris.unibe.ch/170523/ info:eu-repo/semantics/openAccess Schwander, Loraine; Ligterink, Niels F.W.; Kipfer, Kristina A.; Lukmanov, Rustam A.; Grimaudo, Valentine; Tulej, Marek; de Koning, Coenraad P.; Keresztes Schmidt, Peter; Gruchola, Salome; Boeren, Nikita J.; Ehrenfreund, Pascale; Wurz, Peter; Riedo, Andreas (2022). Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument. Frontiers in astronomy and space sciences, 9 Frontiers Media 10.3389/fspas.2022.909193 <http://dx.doi.org/10.3389/fspas.2022.909193> 530 Physics 520 Astronomy 620 Engineering info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion NonPeerReviewed 2022 ftunivbern https://doi.org/10.3389/fspas.2022.909193 2023-07-31T22:14:44Z The detection of biomolecules on Solar System bodies can help us to understand how life emerged on Earth and how life may be distributed in our Solar System. However, the detection of chemical signatures of life on planets or their moons is challenging. A variety of parameters must be considered, such as a suited landing site location, geological and environmental processes favourable to life, life detection strategies, and the application of appropriate and sensitive instrumentation. In this contribution, recent results obtained using our novel laser desorption mass spectrometer ORganics INformation Gathering Instrument (ORIGIN), an instrument designed for in situ space exploration, are presented. We focus in this paper on the detection and identification of amino acid extracts from a natural permafrost sample, as well as in an analogue mixture of soils and amino acids. The resulting dataset was analysed using a correlation network analysis method. Based on mass spectrometric correlation, amino acid signatures were separated from soil signatures, identifying chemically different molecular components in complex samples. The presented analysis method represents an alternative to the typically applied spectra-by-spectra analysis for the evaluation of mass spectrometric data and, therefore, is of high interest for future application in space exploration missions. Article in Journal/Newspaper permafrost BORIS (Bern Open Repository and Information System, University of Bern) Frontiers in Astronomy and Space Sciences 9 |
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Open Polar |
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BORIS (Bern Open Repository and Information System, University of Bern) |
op_collection_id |
ftunivbern |
language |
English |
topic |
530 Physics 520 Astronomy 620 Engineering |
spellingShingle |
530 Physics 520 Astronomy 620 Engineering Schwander, Loraine Ligterink, Niels F.W. Kipfer, Kristina A. Lukmanov, Rustam A. Grimaudo, Valentine Tulej, Marek de Koning, Coenraad P. Keresztes Schmidt, Peter Gruchola, Salome Boeren, Nikita J. Ehrenfreund, Pascale Wurz, Peter Riedo, Andreas Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument |
topic_facet |
530 Physics 520 Astronomy 620 Engineering |
description |
The detection of biomolecules on Solar System bodies can help us to understand how life emerged on Earth and how life may be distributed in our Solar System. However, the detection of chemical signatures of life on planets or their moons is challenging. A variety of parameters must be considered, such as a suited landing site location, geological and environmental processes favourable to life, life detection strategies, and the application of appropriate and sensitive instrumentation. In this contribution, recent results obtained using our novel laser desorption mass spectrometer ORganics INformation Gathering Instrument (ORIGIN), an instrument designed for in situ space exploration, are presented. We focus in this paper on the detection and identification of amino acid extracts from a natural permafrost sample, as well as in an analogue mixture of soils and amino acids. The resulting dataset was analysed using a correlation network analysis method. Based on mass spectrometric correlation, amino acid signatures were separated from soil signatures, identifying chemically different molecular components in complex samples. The presented analysis method represents an alternative to the typically applied spectra-by-spectra analysis for the evaluation of mass spectrometric data and, therefore, is of high interest for future application in space exploration missions. |
format |
Article in Journal/Newspaper |
author |
Schwander, Loraine Ligterink, Niels F.W. Kipfer, Kristina A. Lukmanov, Rustam A. Grimaudo, Valentine Tulej, Marek de Koning, Coenraad P. Keresztes Schmidt, Peter Gruchola, Salome Boeren, Nikita J. Ehrenfreund, Pascale Wurz, Peter Riedo, Andreas |
author_facet |
Schwander, Loraine Ligterink, Niels F.W. Kipfer, Kristina A. Lukmanov, Rustam A. Grimaudo, Valentine Tulej, Marek de Koning, Coenraad P. Keresztes Schmidt, Peter Gruchola, Salome Boeren, Nikita J. Ehrenfreund, Pascale Wurz, Peter Riedo, Andreas |
author_sort |
Schwander, Loraine |
title |
Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument |
title_short |
Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument |
title_full |
Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument |
title_fullStr |
Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument |
title_full_unstemmed |
Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument |
title_sort |
correlation network analysis for amino acid identification in soil samples with the origin space-prototype instrument |
publisher |
Frontiers Media |
publishDate |
2022 |
url |
https://boris.unibe.ch/170523/1/fspas-09-909193.pdf https://boris.unibe.ch/170523/ |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Schwander, Loraine; Ligterink, Niels F.W.; Kipfer, Kristina A.; Lukmanov, Rustam A.; Grimaudo, Valentine; Tulej, Marek; de Koning, Coenraad P.; Keresztes Schmidt, Peter; Gruchola, Salome; Boeren, Nikita J.; Ehrenfreund, Pascale; Wurz, Peter; Riedo, Andreas (2022). Correlation Network Analysis for Amino Acid Identification in Soil Samples With the ORIGIN Space-Prototype Instrument. Frontiers in astronomy and space sciences, 9 Frontiers Media 10.3389/fspas.2022.909193 <http://dx.doi.org/10.3389/fspas.2022.909193> |
op_relation |
https://boris.unibe.ch/170523/ |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3389/fspas.2022.909193 |
container_title |
Frontiers in Astronomy and Space Sciences |
container_volume |
9 |
_version_ |
1774722038543417344 |