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Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor

Ocean worlds such as Europa and Enceladus are high priority targets in the search for past or extant life beyond Earth. Evidence of life may be preserved in samples of surface ice by processes such as deposition from active plumes, hydrofracturing, or thermal convection. Terrestrial life produces un...

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Autores principales: Mauceri, Steffen, Lee, Jake, Wronkiewicz, Mark, Mandrake, Lukas, Doran, Gary, Lightholder, Jack, Cieslarova, Zuzana, Kok, Miranda, Mora, Maria F., Noell, Aaron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787773/
https://www.ncbi.nlm.nih.gov/pubmed/36588670
http://dx.doi.org/10.1029/2022EA002247
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author Mauceri, Steffen
Lee, Jake
Wronkiewicz, Mark
Mandrake, Lukas
Doran, Gary
Lightholder, Jack
Cieslarova, Zuzana
Kok, Miranda
Mora, Maria F.
Noell, Aaron
author_facet Mauceri, Steffen
Lee, Jake
Wronkiewicz, Mark
Mandrake, Lukas
Doran, Gary
Lightholder, Jack
Cieslarova, Zuzana
Kok, Miranda
Mora, Maria F.
Noell, Aaron
author_sort Mauceri, Steffen
collection PubMed
description Ocean worlds such as Europa and Enceladus are high priority targets in the search for past or extant life beyond Earth. Evidence of life may be preserved in samples of surface ice by processes such as deposition from active plumes, hydrofracturing, or thermal convection. Terrestrial life produces unique distributions of organic molecules that translate into recognizable biosignatures. Identification and quantification of these organic compounds can be achieved by separation science such as capillary electrophoresis coupled to mass spectrometry (CE‐MS). However, the data generated by such an instrument can be multiple orders of magnitude larger than what can be transmitted back to Earth during an ocean world’s mission. This requires onboard science data analysis capabilities that summarize and prioritize CE‐MS observations with limited computational resources. In response, the autonomous capillary electrophoresis mass‐spectra examination (ACME) onboard science autonomy system was created for application to the ocean world’s life surveyor (OWLS) instrument suite. ACME is able to compress raw mass spectra by two to three orders of magnitude while preserving most of its scientifically relevant information content. This summarization is achieved by the extraction of raw data surrounding autonomously identified ion peaks and the detection and parameterization of unique background regions. Prioritization of the summarized observations is then enabled by providing estimates of scientific utility, including presence of key target compounds, and the uniqueness of an observation relative to previous observations.
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spelling pubmed-97877732022-12-28 Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor Mauceri, Steffen Lee, Jake Wronkiewicz, Mark Mandrake, Lukas Doran, Gary Lightholder, Jack Cieslarova, Zuzana Kok, Miranda Mora, Maria F. Noell, Aaron Earth Space Sci Research Article Ocean worlds such as Europa and Enceladus are high priority targets in the search for past or extant life beyond Earth. Evidence of life may be preserved in samples of surface ice by processes such as deposition from active plumes, hydrofracturing, or thermal convection. Terrestrial life produces unique distributions of organic molecules that translate into recognizable biosignatures. Identification and quantification of these organic compounds can be achieved by separation science such as capillary electrophoresis coupled to mass spectrometry (CE‐MS). However, the data generated by such an instrument can be multiple orders of magnitude larger than what can be transmitted back to Earth during an ocean world’s mission. This requires onboard science data analysis capabilities that summarize and prioritize CE‐MS observations with limited computational resources. In response, the autonomous capillary electrophoresis mass‐spectra examination (ACME) onboard science autonomy system was created for application to the ocean world’s life surveyor (OWLS) instrument suite. ACME is able to compress raw mass spectra by two to three orders of magnitude while preserving most of its scientifically relevant information content. This summarization is achieved by the extraction of raw data surrounding autonomously identified ion peaks and the detection and parameterization of unique background regions. Prioritization of the summarized observations is then enabled by providing estimates of scientific utility, including presence of key target compounds, and the uniqueness of an observation relative to previous observations. John Wiley and Sons Inc. 2022-10-18 2022-10 /pmc/articles/PMC9787773/ /pubmed/36588670 http://dx.doi.org/10.1029/2022EA002247 Text en © 2022 Jet Propulsion Laboratory, California Institute of Technology. Government sponsorship acknowledged. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mauceri, Steffen
Lee, Jake
Wronkiewicz, Mark
Mandrake, Lukas
Doran, Gary
Lightholder, Jack
Cieslarova, Zuzana
Kok, Miranda
Mora, Maria F.
Noell, Aaron
Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor
title Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor
title_full Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor
title_fullStr Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor
title_full_unstemmed Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor
title_short Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor
title_sort autonomous ce mass‐spectra examination for the ocean worlds life surveyor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787773/
https://www.ncbi.nlm.nih.gov/pubmed/36588670
http://dx.doi.org/10.1029/2022EA002247
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