Document Detail


Life support systems and optimal isotope composition in cosmonaut habitats for long-term missions.
MedLine Citation:
PMID:  11542663     Owner:  NASA     Status:  MEDLINE    
Abstract/OtherAbstract:
Differences in the isotope content of the biogenous chemicals of cosmonaut habitats are given a theoretical consideration. Rationale is given to the hypothesis according to which the biochemical and biophysical processes in plants. animals, and humans must be impacted by the isotopes of all the biogenous chemicals in cosmonaut habitats. Organisms were found to persistently make preference of lighter fractions of stable isotopes from the biogenous chemicals. In most of the compounds the light fraction of stable isotopes constitutes the greater portion by mass. However, the optimal isotope composition of biogenous chemicals is still unknown and necessitates biochemical, toxicological, biological and other kinds of research. The functions of a life support system should also include production and maintenance of an optimal isotope composition for habitats, i.e. water, oxygen, food stuffs in order to improve metabolism in and performance of cosmonauts.
Authors:
I E Siniak; A I Grigoriev
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Acta astronautica     Volume:  43     ISSN:  0094-5765     ISO Abbreviation:  Acta Astronaut     Publication Date:  1998 Nov 
Date Detail:
Created Date:  2000-03-25     Completed Date:  2000-03-25     Revised Date:  2007-07-17    
Medline Journal Info:
Nlm Unique ID:  9890631     Medline TA:  Acta Astronaut     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  481-6     Citation Subset:  S    
Affiliation:
SSC-RF-IBMP, Moscow, Russia.
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MeSH Terms
Descriptor/Qualifier:
Ecological Systems, Closed
Elements
Humans
Isotopes*
Life Support Systems*
Organic Chemicals / chemistry*
Space Flight
Spacecraft*
Chemical
Reg. No./Substance:
0/Elements; 0/Isotopes; 0/Organic Chemicals

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


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