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Microgravity Science and Technology

, Volume 29, Issue 1–2, pp 97–106 | Cite as

An Experimental and Theoretical Approach to Optimize a Three-Dimensional Clinostat for Life Science Experiments

  • Sun Myong Kim
  • Hyunju Kim
  • Dongmin Yang
  • Jihyung Park
  • Rackhyun Park
  • Sim Namkoong
  • Jin I. Lee
  • Inho Choi
  • Han-Sung Kim
  • Hyoungsoon Kim
  • Junsoo Park
Original Article

Abstract

Gravity affects all biological systems, and various types of platforms have been developed to mimic microgravity on the Earth’;s surface. A three-dimensional clinostat (3D clinostat) has been constructed to reduce the directionality of gravitation. In this report, we attempted to optimize a 3D clinostat for a life science experiment. Since a 3D clinostat is equipped with two motors, we fixed the angular velocity of one (primary) motor and varied it for the other (secondary) motor. In this condition, each motor ran constantly and continuously in one direction during the experiment. We monitored the direction of the normal vector using a 3D acceleration sensor, and also performed a computer simulation for comparison with the experimental data. To determine the optimal revolution for our life science experiment (i.e., a revolution yielding the strongest effects), we examined the promoter activity of two genes that were reported to be affected by microgravity. We found that the ratio of velocity of 4:1.8 (0.55) was optimal for our biological system. Our results indicate that changes of the revolutions of a 3D clinostat have a direct impact on the result and furthermore that the revolutions of the two motors have to be separately adjusted in order to guarantee an optimal simulation of microgravity.

Keywords

Microgravity Clinostat Optimization Life science 

Notes

Acknowledgments

This study was supported by a grant from the Leading Space Core Technology Development Program through the National Research Foundation funded by the Ministry of Science, ICT & Future Planning (2013M1A3A3A02042433) and by the Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2010-00757).

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Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Sun Myong Kim
    • 1
  • Hyunju Kim
    • 2
  • Dongmin Yang
    • 2
  • Jihyung Park
    • 3
  • Rackhyun Park
    • 2
  • Sim Namkoong
    • 2
  • Jin I. Lee
    • 2
  • Inho Choi
    • 2
  • Han-Sung Kim
    • 3
  • Hyoungsoon Kim
    • 4
  • Junsoo Park
    • 2
  1. 1.Department of PhysicsYonsei UniversityWonjuSouth Korea
  2. 2.Division of Biological Science and TechnologyYonsei UniversityWonjuSouth Korea
  3. 3.Department of Biomedical EngineeringYonsei UniversityWonjuKorea
  4. 4.Department of MathematicsYonsei UniversityWonjuSouth Korea

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