Document Detail


Design and practices for use of automated drilling and sample handling in MARTE while minimizing terrestrial and cross contamination.
MedLine Citation:
PMID:  19105753     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Mars Astrobiology Research and Technology Experiment (MARTE) investigators used an automated drill and sample processing hardware to detect and categorize life-forms found in subsurface rock at Río Tinto, Spain. For the science to be successful, it was necessary for the biomass from other sources--whether from previously processed samples (cross contamination) or the terrestrial environment (forward contamination)-to be insignificant. The hardware and practices used in MARTE were designed around this problem. Here, we describe some of the design issues that were faced and classify them into problems that are unique to terrestrial tests versus problems that would also exist for a system that was flown to Mars. Assessment of the biomass at various stages in the sample handling process revealed mixed results; the instrument design seemed to minimize cross contamination, but contamination from the surrounding environment sometimes made its way onto the surface of samples. Techniques used during the MARTE Río Tinto project, such as facing the sample, appear to remove this environmental contamination without introducing significant cross contamination from previous samples.
Authors:
David P Miller; Rosalba Bonaccorsi; Kiel Davis
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Astrobiology     Volume:  8     ISSN:  1557-8070     ISO Abbreviation:  Astrobiology     Publication Date:  2008 Oct 
Date Detail:
Created Date:  2008-12-24     Completed Date:  2009-03-20     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101088083     Medline TA:  Astrobiology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  947-65     Citation Subset:  IM    
Affiliation:
University of Oklahoma, Norman, Oklahoma 73019, USA. dpmiller@ou.edu
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MeSH Terms
Descriptor/Qualifier:
Adenosine Triphosphate
Automation*
Environmental Pollutants*
Exobiology / instrumentation,  methods*
Geologic Sediments
Luminescent Measurements
Mars*
Research*
Robotics / instrumentation
Space Simulation
Spacecraft
Spain
Technology*
Chemical
Reg. No./Substance:
0/Environmental Pollutants; 56-65-5/Adenosine Triphosphate

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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