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Erratum: Guttenberg et al. Classification of the Biogenicity of Complex Organic Mixtures for the Detection of Extraterrestrial Life. Life 2021, 11, 234
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Erratum published on 21 May 2021, see Life 2021, 11(6), 461.
Article

Classification of the Biogenicity of Complex Organic Mixtures for the Detection of Extraterrestrial Life

1
Earth-Life Science Institute, Tokyo Institute of Technology, Ookayama, Tokyo 152-8550, Japan
2
Cross Labs, Cross Compass Ltd., 2-9-11-9F Shinkawa, Chuo-ku, Tokyo 104-0033, Japan
3
GoodAI, Na Petynce 213/23b, 169 00 Prague, Czech Republic
4
National High Magnetic Field Laboratory, Florida State University, 1800 East Paul Dirac Drive, Tallahassee, FL 32310-4005, USA
5
Institute for Advanced Study, 1 Einstein Drive, Princeton, NJ 08540, USA
6
Blue Marble Space Institute of Science, Seattle, WA 98104, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Manasvi Lingam
Life 2021, 11(3), 234; https://doi.org/10.3390/life11030234
Received: 17 January 2021 / Revised: 2 March 2021 / Accepted: 7 March 2021 / Published: 12 March 2021
(This article belongs to the Special Issue Frontiers of Astrobiology)
Searching for life in the Universe depends on unambiguously distinguishing biological features from background signals, which could take the form of chemical, morphological, or spectral signatures. The discovery and direct measurement of organic compounds unambiguously indicative of extraterrestrial (ET) life is a major goal of Solar System exploration. Biology processes matter and energy differently from abiological systems, and materials produced by biological systems may become enriched in planetary environments where biology is operative. However, ET biology might be composed of different components than terrestrial life. As ET sample return is difficult, in situ methods for identifying biology will be useful. Mass spectrometry (MS) is a potentially versatile life detection technique, which will be used to analyze numerous Solar System environments in the near future. We show here that simple algorithmic analysis of MS data from abiotic synthesis (natural and synthetic), microbial cells, and thermally processed biological materials (lab-grown organisms and petroleum) easily identifies relational organic compound distributions that distinguish pristine and aged biological and abiological materials, which likely can be attributed to the types of compounds these processes produce, as well as how they are formed and decompose. This method is independent of the detection of particular masses or molecular species samples may contain. This suggests a general method to agnostically detect evidence of biology using MS given a sufficiently strong signal in which the majority of the material in a sample has either a biological or abiological origin. Such metrics are also likely to be useful for studies of possible emergent living phenomena, and paleobiological samples. View Full-Text
Keywords: astrobiology; life detection; biosignatures; machine learning; mass spectrometry; complexity; prebiotic chemistry astrobiology; life detection; biosignatures; machine learning; mass spectrometry; complexity; prebiotic chemistry
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MDPI and ACS Style

Guttenberg, N.; Chen, H.; Mochizuki, T.; Cleaves, H.J. Classification of the Biogenicity of Complex Organic Mixtures for the Detection of Extraterrestrial Life. Life 2021, 11, 234. https://doi.org/10.3390/life11030234

AMA Style

Guttenberg N, Chen H, Mochizuki T, Cleaves HJ. Classification of the Biogenicity of Complex Organic Mixtures for the Detection of Extraterrestrial Life. Life. 2021; 11(3):234. https://doi.org/10.3390/life11030234

Chicago/Turabian Style

Guttenberg, Nicholas, Huan Chen, Tomohiro Mochizuki, and H. J. Cleaves 2021. "Classification of the Biogenicity of Complex Organic Mixtures for the Detection of Extraterrestrial Life" Life 11, no. 3: 234. https://doi.org/10.3390/life11030234

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