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      Diverse organic-mineral associations in Jezero crater, Mars

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      1 , , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 2 , 1 , 1 , 9 , 10 , 11 , 12 , 9 , 2 , 1 , 6 , 13 , 13 , 1 , 12 , 14 , 15 , 9 , 10 , 11 , 9 , 12 , 7 , 12 , 12 , 9 , 11 , 16 , 9 , 10 , 11 , 1 , 12 , 17 , 14 , 12 , 12 , 18 , 19 , 20 , 21 , 1 , 1 , 1 , 1 , 12 , 22 , 23 , 24 , 12 , 25
      Nature
      Nature Publishing Group UK
      Astrobiology, Fluorescence spectroscopy, Raman spectroscopy, Geochemistry

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          Abstract

          The presence and distribution of preserved organic matter on the surface of Mars can provide key information about the Martian carbon cycle and the potential of the planet to host life throughout its history. Several types of organic molecules have been previously detected in Martian meteorites 1 and at Gale crater, Mars 24 . Evaluating the diversity and detectability of organic matter elsewhere on Mars is important for understanding the extent and diversity of Martian surface processes and the potential availability of carbon sources 1, 5, 6 . Here we report the detection of Raman and fluorescence spectra consistent with several species of aromatic organic molecules in the Máaz and Séítah formations within the Crater Floor sequences of Jezero crater, Mars. We report specific fluorescence-mineral associations consistent with many classes of organic molecules occurring in different spatial patterns within these compositionally distinct formations, potentially indicating different fates of carbon across environments. Our findings suggest there may be a diversity of aromatic molecules prevalent on the Martian surface, and these materials persist despite exposure to surface conditions. These potential organic molecules are largely found within minerals linked to aqueous processes, indicating that these processes may have had a key role in organic synthesis, transport or preservation.

          Abstract

          Raman and fluorescence spectra, consistent with several species of aromatic organic molecules, are reported in the Crater Floor sequences of Jezero crater, Mars, suggesting multiple mechanisms of organic synthesis, transport, or preservation.

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          Most cited references55

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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            Organic compounds in carbonaceous meteorites.

            The carbonaceous chondrite meteorites are fragments of asteroids that have remained relatively unprocessed since the formation of the solar system 4.6 billion years ago. These carbon-rich objects contain a variety of extraterrestrial organic molecules that constitute a record of chemical evolution prior to the origin of life. Compound classes include aliphatic hydrocarbons, aromatic hydrocarbons, amino acids, carboxylic acids, sulfonic acids, phosphonic acids, alcohols, aldehydes, ketones, sugars, amines, amides, nitrogen heterocycles, sulfur heterocycles and a relatively abundant high molecular weight macromolecular material. Structural and stable isotopic characteristics suggest that a number of environments may have contributed to the organic inventory, including interstellar space, the solar nebula and the asteroidal meteorite parent body. This review covers work published between 1950 and the present day and cites 193 references.
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              Baseline correction using adaptive iteratively reweighted penalized least squares.

              Baseline drift always blurs or even swamps signals and deteriorates analytical results, particularly in multivariate analysis. It is necessary to correct baseline drift to perform further data analysis. Simple or modified polynomial fitting has been found to be effective to some extent. However, this method requires user intervention and is prone to variability especially in low signal-to-noise ratio environments. A novel algorithm named adaptive iteratively reweighted Penalized Least Squares (airPLS) that does not require any user intervention and prior information, such as peak detection etc., is proposed in this work. The method works by iteratively changing weights of sum squares errors (SSE) between the fitted baseline and original signals, and the weights of the SSE are obtained adaptively using the difference between the previously fitted baseline and the original signals. The baseline estimator is fast and flexible. Theory, implementation, and applications in simulated and real datasets are presented. The algorithm is implemented in R language and MATLAB, which is available as open source software (http://code.google.com/p/airpls).
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                Author and article information

                Contributors
                sunanda.sharma@jpl.nasa.gov
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                12 July 2023
                12 July 2023
                2023
                : 619
                : 7971
                : 724-732
                Affiliations
                [1 ]GRID grid.20861.3d, ISNI 0000000107068890, Jet Propulsion Laboratory, , California Institute of Technology, ; Pasadena, CA USA
                [2 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Chemistry, , University of Pittsburgh, ; Pittsburgh, PA USA
                [3 ]GRID grid.423138.f, ISNI 0000 0004 0637 3991, Planetary Science Institute, ; Tucson, AZ USA
                [4 ]Melanie Sauer and Associates, LLC, Sierra Madre, CA USA
                [5 ]GRID grid.427142.6, Photon Systems Incorporated, ; Covina, CA USA
                [6 ]GRID grid.418276.e, ISNI 0000 0001 2323 7340, Earth and Planets Laboratory, , Carnegie Institution for Science, ; Washington, DC USA
                [7 ]GRID grid.35937.3b, ISNI 0000 0001 2270 9879, The Natural History Museum, ; London, UK
                [8 ]GRID grid.450998.9, ISNI 0000 0004 0438 1242, Department of Methodology, Textiles and Medical Technology, , RISE Research Institutes of Sweden, ; Stockholm, Sweden
                [9 ]GRID grid.419085.1, ISNI 0000 0004 0613 2864, Astromaterials Research and Exploration Science Division, , NASA Johnson Space Center, ; Houston, TX USA
                [10 ]GRID grid.264772.2, ISNI 0000 0001 0682 245X, Texas State University, ; Houston, TX USA
                [11 ]Jacobs JETS II, Houston, TX USA
                [12 ]GRID grid.486979.d, ISNI 0000 0004 6023 2081, Malin Space Science Systems, Inc., ; San Diego, CA USA
                [13 ]GRID grid.24827.3b, ISNI 0000 0001 2179 9593, Department of Geosciences, , University of Cincinnati, ; Cincinnati, OH USA
                [14 ]GRID grid.20861.3d, ISNI 0000000107068890, Division of Geological and Planetary Sciences, , California Institute of Technology, ; Pasadena, CA USA
                [15 ]GRID grid.426239.8, ISNI 0000 0000 9176 4495, Astrophysical Observatory of Arcetri, , INAF, ; Florence, Italy
                [16 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Department of Earth and Planetary Sciences, , University of Tennessee, ; Knoxville, TN USA
                [17 ]Framework, Silver Spring, MD USA
                [18 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Department of Earth, Atmospheric, and Planetary Sciences, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                [19 ]GRID grid.164295.d, ISNI 0000 0001 0941 7177, Department of Astronomy, , University of Maryland, ; College Park, MD USA
                [20 ]GRID grid.133275.1, ISNI 0000 0004 0637 6666, Planetary Geology, Geophysics and Geochemistry Lab, , NASA Goddard Space Flight Center, ; Greenbelt, MD USA
                [21 ]GRID grid.482804.2, Blue Marble Space Institute of Science, ; Seattle, WA USA
                [22 ]GRID grid.169077.e, ISNI 0000 0004 1937 2197, Department of Earth, Atmospheric, and Planetary Sciences, , Purdue University, ; Lafayette, IN USA
                [23 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Department of Geological Sciences, , University of Florida, ; Gainesville, FL USA
                [24 ]GRID grid.215654.1, ISNI 0000 0001 2151 2636, School of Earth and Space Exploration, , Arizona State University, ; Tempe, AZ USA
                [25 ]Impossible Sensing, LLC, St. Louis, MO USA
                Author information
                http://orcid.org/0000-0001-8822-7960
                http://orcid.org/0000-0002-4944-4353
                http://orcid.org/0000-0002-1434-7481
                http://orcid.org/0000-0001-9643-2841
                http://orcid.org/0000-0002-2101-4431
                http://orcid.org/0000-0002-6161-0027
                http://orcid.org/0000-0002-8623-358X
                http://orcid.org/0000-0002-2450-0734
                http://orcid.org/0000-0001-7705-9658
                http://orcid.org/0000-0002-5952-4170
                http://orcid.org/0000-0003-2921-1840
                http://orcid.org/0000-0001-7172-2033
                http://orcid.org/0000-0002-0390-5054
                http://orcid.org/0000-0001-9641-1071
                http://orcid.org/0000-0002-0859-5526
                http://orcid.org/0000-0002-3409-7344
                http://orcid.org/0000-0001-6299-0845
                http://orcid.org/0000-0001-5076-6395
                Article
                6143
                10.1038/s41586-023-06143-z
                10371864
                37438522
                5648c6a0-d324-41fe-899b-22b8c46acd0a
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 June 2022
                : 27 April 2023
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                © Springer Nature Limited 2023

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                astrobiology,fluorescence spectroscopy,raman spectroscopy,geochemistry
                Uncategorized
                astrobiology, fluorescence spectroscopy, raman spectroscopy, geochemistry

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