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Habitability on planetary surfaces: interdisciplinary preparation phase for future Mars missions

Published online by Cambridge University Press:  30 July 2009

Z. Peeters
Affiliation:
Leiden Institute of Chemistry, Einsteinweg 55, 2333 CC, Leiden, The Netherlands NASA Goddard Space Flight Center, Code 691, Greenbelt, MD 20771, USA
R. Quinn
Affiliation:
SETI Institute, NASA Ames Research Center, Moffett Field, CA 94035, USA
Z. Martins
Affiliation:
Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
M.A. Sephton
Affiliation:
Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
L. Becker
Affiliation:
John Hopkins University, 3400 North Charles St, Baltimore, MD 21218, USA
M.C.M. van Loosdrecht
Affiliation:
Delft University of Technology, Faculty of Applied Sciences, Department of Biotechnology, Julianalaan 67, 2628 BC Delft, The Netherlands
J. Brucato
Affiliation:
INAF Osservatorio Astrofisico di Arcetri, L.go E. Fermi 5, 50125 Firenze, Italy
F. Grunthaner
Affiliation:
In Situ Exploration Technology Group, NASA Jet Propulsion Laboratory, Pasadena, CA, USA
P. Ehrenfreund
Affiliation:
Leiden Institute of Chemistry, Einsteinweg 55, 2333 CC, Leiden, The Netherlands Space Policy Institute, Elliott School of International Affairs, Washington DC, USA
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Abstract

Life on Earth is one of the outcomes of the formation and evolution of our solar system and has adapted to every explored environment on planet Earth. Recent discoveries have shown that life can exist in extreme environments, such as hydrothermal vents, in deserts and in ice lakes in Antarctica. These findings challenge the definition of the ‘planetary habitable zone’. The objective of future international planetary exploration programmes is to implement a long-term plan for the robotic and human exploration of solar system bodies. Mars has been a central object of interest in the context of extraterrestrial life. The search for extinct or extant life on Mars is one of the main goals of space missions to the Red Planet during the next decade. In this paper we describe the investigation of the physical and chemical properties of Mars soil analogues collected in arid deserts. We measure the pH, redox potential and ion concentrations, as well as carbon and amino acid abundances of soils collected from the Atacama desert (Chile and Peru) and the Salten Skov sediment from Denmark. The samples show large differences in their measured properties, even when taken only several meters apart. A desert sample and the Salten Skov sediment were exposed to a simulated Mars environment to test the stability of amino acids in the soils. The presented laboratory and field studies provide limits to exobiological models, evidence on the effects of subsurface mineral matrices, support current and planned space missions and address planetary protection issues.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2009
Figure 0

Table 1. Martian soil analogues and locations from where they were obtained

Figure 1

Fig. 1. pH (a) and redox potential (b) of different soils. Top of Slope (Arequipa) soil is designated by squares, Foot of Slope (Arequipa) by circles, Flat Top Hill (Yungay) by triangles, and Salten Skov by diamonds. The closed symbols refer to the dissolved samples in air, while the open symbols display the pH of the same samples purged with nitrogen. Time is counted from the moment of dissolution, while purging with nitrogen started immediately after the last non-purged measurement (last closed symbol in the graph).

Figure 2

Table 2. Ion concentrations (ppm) and conductivity (mS cm−1) for three different soil samples. The values are corrected for dilution by the given dilution factor

Figure 3

Fig. 2. Field emission scanning electron microscopy pictures of the soil samples. Electrons were accelerated to 10 kV. The pictures show (a) Top of Slope (c) Foot of Slope (e) Flat Top Hill and (g) Salten Skov. The magnification is given in each plot. The corresponding elemental compositions of the grains are shown in (b), (d), (f) and (h). The elemental composition was measured by energy dispersive X-ray spectroscopy at 15 kV detector voltage. The analysed region is ~1 μm in each direction. The bars in this figure show an average of 10 measurements, recorded at different locations of the sample.

Figure 4

Fig. 3. Infrared spectra of the soil samples. The spectra were recorded as diffuse reflectance spectra, relative to KBr reflectance, over the range 7000–400 cm−1 at a resolution of 2 cm−1. The spectra were obtained at low (1 mbar) pressure. All spectra are on the same scale, but offset in vertical direction.

Figure 5

Table 3. X-ray diffraction data of Mars soil analogues (relative abundance in percent)

Figure 6

Fig. 4. Laser desorption–mass spectra (LD–MS) of (a) Top of Slope (Arequipa), (b) Foot of Slope (Arequipa), (c) Second Site (Arequipa), and (d) Soil Pit (Yungay). The molecules were desorbed directly from the soils with a 337 nm nitrogen laser at an intensity of 106 W cm−2.

Figure 7

Fig. 5. HPLC–FD chromatograms of the OPA/NAC derivatized (1 min.) amino acid standard, acid-hydrolysed hot water extracts of Mars soil analogues, and a serpentine blank. The numbers in brackets are scale factors. The numbers in the chromatograms designate the identified peaks of 1. D-aspartic acid, 2. L-aspartic acid, 3. L-glutamic acid, 4. D-glutamic acid, 5. D- and L-serine, 6. glycine, 7. β-alanine, 8. γ-amino-n-butyric acid, 9. D- and L-β-aminoisobutyric acid, 10. D-alanine, 11. L-alanine, 12. D- and L-β-amino-n-butyric acid, and 13. α-aminoisobutyric acid. Peaks labelled with a * were not identified.

Figure 8

Table 4. Abundances of selected amino acids as measured by HPLC–FD. The Soil Pit sample from the Yungay region did not yield any detectable amino acid abundance. The error margins are the standard error of the mean (SEM, n=7)

Figure 9

Fig. 6. Amino acid abundances in (a) Top of Slope (Arequipa) spiked with D-alanine and (b) Salten Skov. In each panel, the black bars give the abundance before exposure to a simulated Mars environment and the white bars after exposure. The error bars denote the standard error of the mean (SEM, n=7).

Figure 10

Table 5. Absolute and relative differences (Δ) in amino acid abundance in Atacama and Salten Skov soils after exposure to simulated Mars conditions, shown in Fig. 6. The error margins shown in this table were propagated from the error bars in Fig. 6