Advertisement

Experimental study on the effects of shear stress on viscoelastic properties of the intestines

  • Jie LiEmail author
  • XiaoNan Bi
  • Ke Zhang
  • Cheng Zhang
  • Hao Liu
Article
  • 5 Downloads

Abstract

Shear deformation induced by shear stress is one of the major forms of interaction between the locomotion mechanism and the intestines. Relatively few experimental studies using locomotion mechanisms have been performed to investigate the viscoelastic property of intestines. There is a lack of reliable data regarding the relative movement between various locomotion mechanisms and the small intestine, and how that movement affects the measurement of shear displacement. In this work, a novel platform was constructed with two elaborately designed clamps that could securely fix both sides of an intestine sample using negative gas adsorption. The platform was also integrated with noncontact measuring equipment to record the thickness of the intestine sample. Subsequently, preservation measure was applied to porcine intestine, and multiple intestine samples were prepared and tested under strains of 20%, 50%, 80% and 100%. A five-element viscoelastic model that was fitted to multiple sets of data could accurately predict the biomechanical property of the intestines. Finally, a new criterion, the loss factor, was calculated with the parameters of the five-element model to represent the dynamic behavior of soft tissue, and it was used to verify the reliability and effectiveness of the experimental setup and results.

Keywords

shear stress nonlinear viscoelastic property intestine loss factor negative gas adsorption 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Choi K, Jang G, Jeon S, et al. Capsule-type magnetic microrobot actuated by an external magnetic field for selective drug delivery in human blood vessels. IEEE Trans Magn, 2014, 50: 1–4Google Scholar
  2. 2.
    Lee S, Kim S, Kim S, et al. A capsule-type microrobot with pick-anddrop motion for targeted drug and cell delivery. Adv Healthc Mater, 2018, 7: e1700985CrossRefGoogle Scholar
  3. 3.
    Woods S P, Constandinou T G. A compact targeted drug delivery mechanism for a next generation wireless capsule endoscope. J Micro-Bio Robot, 2016, 11: 19–34CrossRefGoogle Scholar
  4. 4.
    Gao J, Yan G, He S, et al. Design, analysis, and testing of a motordriven capsule robot based on a sliding clamper. Robotica, 2017, 35: 521–536CrossRefGoogle Scholar
  5. 5.
    Zhang Y. A new kind of dual hemisphere capsule robot (in Chinese). J Mech Eng, 2017, 53: 110–118CrossRefGoogle Scholar
  6. 6.
    Gao J, Yan G, Wang Z, et al. Design and testing of a motor-based capsule robot powered by wireless power transmission. IEEE/ASME Trans Mechatron, 2016, 21: 683–693CrossRefGoogle Scholar
  7. 7.
    Kim J S, Sung I H, Kim Y T, et al. Experimental investigation of frictional and viscoelastic properties of intestine for microendoscope application. Tribol Lett, 2006, 22: 143–149CrossRefGoogle Scholar
  8. 8.
    Lyle A B, Luftig J T, Rentschler M E. A tribological investigation of the small bowel lumen surface. Tribol Int, 2013, 62: 171–176CrossRefGoogle Scholar
  9. 9.
    Zhang C, Liu H, Tan R, et al. Modeling of velocity-dependent frictional resistance of a capsule robot inside an intestine. Tribol Lett, 2012, 47: 295–301CrossRefGoogle Scholar
  10. 10.
    Ciarletta P, Dario P, Tendick F, et al. Hyperelastic model of anisotropic fiber reinforcements within intestinal walls for applications in medical robotics. Int J Robotics Res, 2009, 28: 1279–1288CrossRefGoogle Scholar
  11. 11.
    Bellini C, Glass P, Sitti M, et al. Biaxial mechanical modeling of the small intestine. J Mech Behav BioMed Mater, 2011, 4: 1727–1740CrossRefGoogle Scholar
  12. 12.
    Gao J, Yan G. Locomotion analysis of an inchworm-like capsule robot in the intestinal tract. IEEE Trans Biomed Eng, 2016, 63: 300–310CrossRefGoogle Scholar
  13. 13.
    Wang Z, Ye X, Zhou M. Frictional resistance model of capsule endoscope in the Intestine. Tribol Lett, 2013, 51: 409–418CrossRefGoogle Scholar
  14. 14.
    Zhou H, Alici G, Than T D, et al. Modeling and experimental investigation of rotational resistance of a spiral-type robotic capsule inside a real intestine. IEEE/ASME Trans Mechatron, 2013, 18: 1555–1562CrossRefGoogle Scholar
  15. 15.
    Tan R, Liu H, Su G, et al. Experimental investigation of the small intestine's viscoelasticity for the motion of capsule robot. In: IEEE International Conference on Mechatronics and Automation, Beijing, 2011. 249–253Google Scholar
  16. 16.
    Zhang C, Liu H. Analytical friction model of the capsule robot in the small intestine. Tribol Lett, 2016, 64: 39CrossRefGoogle Scholar
  17. 17.
    Chen J F, Xu K J, Tang L Q, et al. Study on the optimal loading rates in the measurement of viscoelastic properties of hydrogels by conical indentation. Mech Mater, 2018, 119: 42–48CrossRefGoogle Scholar
  18. 18.
    Naeeni H A, Haghpanahi M. FE modeling of living human brain using multifrequency magnetic resonance elastography. Appl Mech Mater, 2011, 66-68: 384–389CrossRefGoogle Scholar
  19. 19.
    Périchon N, Oudry J, Chatelin S, et al. In vivo liver tissue mechanical properties by transient elastography: Comparison with dynamic mechanical analysis. In: International Conference on the Biomechanics of Impact (IRCOBI), 2009. 57–68Google Scholar
  20. 20.
    Paschoalick T M, Garcia F T, Sobral P J A, et al. Characterization of some functional properties of edible films based on muscle proteins of Nile Tilapia. Food Hydrocolloids, 2003, 17: 419–427CrossRefGoogle Scholar
  21. 21.
    DeWall R J, Varghese T, Kliewer M A, et al. Compression-dependent viscoelastic behavior of human cervix tissue. Ultrason Imag, 2010, 32: 214–228CrossRefGoogle Scholar
  22. 22.
    Xu F, Seffen K A, Lu T J. Temperature-dependent mechanical behaviors of skin tissue. IAENG Inter J Comp Sci, 2008, 35: 92–101Google Scholar

Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Jie Li
    • 1
    • 2
    • 3
    Email author
  • XiaoNan Bi
    • 1
  • Ke Zhang
    • 1
    • 3
  • Cheng Zhang
    • 2
    • 3
  • Hao Liu
    • 2
    • 3
  1. 1.School of Mechanical EngineeringShenyang Jianzhu UniversityShenyangChina
  2. 2.State Key Laboratory of RoboticsShenyang Institute of Automation (SIA), Chinese Academy of SciencesShenyangChina
  3. 3.Liaoning Provincial Key Laboratory of Minimally Invasive Surgical RobotShenyangChina

Personalised recommendations