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Computational Approaches towards Life Detection by Mass Spectrometry

Meringer, Markus (2017) Computational Approaches towards Life Detection by Mass Spectrometry. International Workshop on Life Detection Technology: For Mars, Encheladus and Beyond, 5.-6. Okt. 2017, Tokyo, Japan.

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Official URL: http://eon.elsi.jp/workshop-on-life-detection-technology-for-mars-enceladus-and-beyond/


Starting from the data obtained in 2014 by the COSAC instrument on board the lander of the ROSETTA mission this presentation shows problems and sketches solutions towards the identification of small organic compounds detected by mass spectrometers on future astrobiology-related exploration missions for solar system targets. Several approaches towards mass spectrometry-based compound identification and life detection are discussed. It is concluded that machine learning and pattern recognition methods will play an important role for computationally separating samples of biotic and abiotic origin.

Item URL in elib:https://elib.dlr.de/116466/
Document Type:Conference or Workshop Item (Speech)
Title:Computational Approaches towards Life Detection by Mass Spectrometry
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Meringer, MarkusMarkus.Meringer (at) dlr.dehttps://orcid.org/0000-0001-8526-2429
Date:5 October 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:astrobiology, organic compounds, machine learning, pattern recognition
Event Title:International Workshop on Life Detection Technology: For Mars, Encheladus and Beyond
Event Location:Tokyo, Japan
Event Type:Workshop
Event Dates:5.-6. Okt. 2017
Organizer:Earth-Life Science Institute, Tokyo Institute of Technology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - Explorationsstudien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Meringer, Dr.rer.nat. Markus
Deposited On:15 Dec 2017 09:16
Last Modified:31 Jul 2019 20:13

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