• Volume/Page
  • Keyword
  • DOI
  • Citation
  • Advanced
   
 
 
 

Facebook Podcast Flickr Twitter UniPHY Group iResearch App

FULL-TEXT OPTIONS:

Biomicrofluidics 4, 034101 (2010); doi:10.1063/1.3458908 (16 pages)

Electrical properties with relaxation through human blood

S. Abdalla, S. S. Al-ameer, and S. H. Al-Magaishi

Department of Physics, Faculty of Science, KAU, P.O. Box 80203, Jeddah 21589, Saudi Arabia

View MapView Map

(Received 24 April 2010; accepted 7 June 2010; published online 8 July 2010)

The present work aims to study the effects of the blood-microstructure on the electrical conduction from two different but correlated properties: Electrical and mechanical (viscosity), and to derive useful parameters for the evaluation of electrical conduction as a function of the blood viscosity. ac-conductivity and dielectric constant of normal and diabetic blood are measured in the frequency range 10 kHz–1 MHz at the room temperature. An empirical relation relating the resistivity and viscosity of the blood has been presented. The results show that a microfluidic device is a viable and simple solution for determination of electrical and rheological behaviors of blood samples.

© 2010 American Institute of Physics

Article Outline

  1. INTRODUCTION
  2. EXPERIMENTAL METHODS
  3. MODEL AND ANALYSIS
    1. Inhomogeneities of blood
    2. Electrical properties of blood: Mathematical approach
  4. RESULTS AND DISCUSSION
    1. Electrical conductivity of normal and diabetic blood
    2. Dielectric constant of normal and diabetic bloods
    3. Probability of the distribution of relaxation times in the blood
    4. Blood viscosity as a function of the ac: Electrical conductivity for normal and diabetic bloods
  5. CONCLUSIONS

KEYWORDS and PACS

PACS

  • 87.85.jc

    Electrical, thermal, and mechanical properties of biological matter

  • 87.85.gf

    Fluid mechanics and rheology

  • 87.80.Ek

    Mechanical and micromechanical techniques

PUBLICATION DATA

ISSN:

1932-1058 (online)

  1. M. Carlos Ferrario, Therapeutic Advances in Cardio vascular Disease 4, 1 (2010).
  2. R. Zhou, J. Gordon, A. F. Palmer, and H.-C. Chang, Biotechnol. Bioeng. 93, 201 (2006). [MEDLINE]
  3. L. Y. Yeo and H. -C. Chang, Mod. Phys. Lett. B 19, 549 (2005).
  4. P. Izzo1, A. Spagnuolo1, A. Manicone1, P. Nazzaro, and V. M. Lauta, Journal Clinical Hemorheology and Microcirculation 21, 3 (1999).
  5. R. Zhou and Hsueh-Chia Chang, J. Colloid Interface Sci. 287, 647 (2005). [MEDLINE]
  6. J. J. H. Marco Grootenboersa, M. N. H. Franz Schramela, J. Wim van Bovenb, M. H. Jeroen Hendriksc, P. E. Y. van Schilc, P. E. J. De Witd, G. Pasterkampe, G. Folkertsf, and P. Bart van Putteb, Lung Cancer 63, 400 (2009). [MEDLINE]
  7. S. Basuray and H. -C. Chang, Phys. Rev. E 75, 060501 (2007). [ISI]
  8. A. Trakic, M. Akhand, H. Wang, D. Mason, F. Liu, S. Wilson, and S. Crozier, Physiol. Meas 31, 13 (2010). [MEDLINE]
  9. H. Fricke, J. Gen. Physiol. 6, 375 (1924). [MEDLINE]
  10. O. K. Baskurt, M. Uyuklu, and H. J. Meiselman, Biorheology 46, 3 (2009).
  11. K. R. Foster and H. P. Schwan, Dielectric Properties of Tissues: Handbook of Biological Effects of Electromagnetic Fields (CRC, New York, 1996).
  12. J. E. Gordon, Z. Gagnon, and H. -C. Changa, Biomicrofluidics 1, 044102 (2007)BIOMGB000001000004044102000001.
  13. S. Basuray and H. -C. Chang, Biomicrofluidics 4, 013205 (2010)BIOMGB000004000001013205000001.
  14. S. Olufsen, J. T. Ottesen, and V. Novak, J. Appl. Physiol. 99, 1523 (2005). [MEDLINE]
  15. H. Nose, G. W. Mack, X. R. Shi, and E. R. Nadel, J. Appl. Physiol. 65, 318 (1988). [MEDLINE]
  16. J. P. Morucci and B. Rigaud, Crit. Rev. Biomed. Eng. 24, 655 (1996). [Inspec] [ISI] [MEDLINE]
  17. P. J. Riu, J. Rosell, R. Bragos, and O. Casas, Electrical Bioimpedance Methods: Applications to Medicine and Biotechnology (The New York Academy of Sciences, New York, 1999).
  18. X. Tuqiang, S. Chuan Tjin, Q. Yang, and S. Lee Ng, IEEE Trans. Instrum. Meas. 47, 1197 (1998).
  19. F. Jaspard and M. Nadi, Physiol. Meas 23, 547 (2002). [ISI] [MEDLINE]
  20. L. Sun, C. M. Collins, M. B. Smith, and N. B. Smith, Proc. Intl. Soc. Mag. Reson. Med., 2004, p. 11.
  21. O. S. Desouky, Romanian J. Biophys. 19, 239 (2009).
  22. A. Waugh and A. Grant, Anatomy and Physiology in Health and Illness, 10th edition (Churchill Livingstone Elsevier, Glassgow, UK, 2007), pp. 22. See also: http://anthro.palomar.edu/blood/blood_components.htm
  23. R. J. Sheppard and E. H. Grant, Adv. Mol. Relax. Processes 6, 61 (1974). [Inspec]
  24. H. A. Pohl, Dielectrophoresis (Cambridge University Press, Cambridge, 1978), pp. 1–50.
  25. G. A. Schwarz, J. Phys. Chem. 66, 2636 (1962). [ISI]
  26. A. Beneduci, J. Mol. Liq. 38, 55 (2008).
  27. P. Debye, Polare Molekeln (S. Hirzel, Leipzig, 1929).
  28. I. G. Obrosova, C. Vanlteysen, L. Fathallah, X. Cao, D. A. Greene, and M. J. Stevens, FASEB J. 16, 123 (2002). [MEDLINE]
  29. S. M. Berman, Mathematical Statistics (Intext Educational Publishers, Scranton, PA, 1971).
  30. “Normal distribution,” Encyclopedia of Psychology. FindArticles.com. http://findarticles. Com /p/articles/mi _ g2699 /is_0002/ai_2699000241/Gale, Encyclopedia of Psychology, 2nd ed. Gale Group, 200 (2010).
  31. S. Abdalla, M. Dongol, and M. M. Ibrahim, Phys. Status Solidi B 144, 745 (1987).
  32. B. Pistoulet, F. M. Roch, and S. Abdalla, Phys. Rev. B 30, 5987 (1984). [ISI]
  33. C. Sozou, Proc. R. Soc. London, Ser. A 331, 263 (1972). [Inspec]
  34. A. A. Sabry, Proceedings of the Physical Society, 1972.
  35. A. M. M. Piet Aarts, A. Piet Bolhuis, S. Kjell Sakariassen, M. Robert Heethaar, and J. J. Sixma, Blood 62, 214 (1983). [MEDLINE]
  36. G. A. M. Popa, T. L. M. de Backerb M. de Jongb, P. C. Struijkc, L. Morarua, Z. Changd, H. G. Goovaertse, C. J. Slagera, and A. J. J. C. Bogersb, Eur. Surg. Res. 36, 259 (2004). [MEDLINE]
  37. E. Donald McMillan, J. Clin. Invest. 53, 1071 (1974). [MEDLINE]
  38. W. Zingg, J. C. Sulev, C. D. Morgan, and R. M. Ehrlich, Diabetologia 7, 6 (1971). [MEDLINE]


Figures (click on thumbnails to view enlargements)

FIG.1
The electrical conductivity of normal and diabetic blood as a function of the applied frequency. Solid lines represent calculated values after Eq. ( 19 ) and triangles and squares are experimental data for normal and diabetic bloods, respectively.

FIG.1 Download High Resolution Image (.zip file) | Export Figure to PowerPoint

FIG.2
The dielectric constant of normal and diabetic blood as a function of frequency. Solid lines represent calculated values after Eq. ( 25 ) and symbols are experimental data for normal and diabetic bloods, respectively.

FIG.2 Download High Resolution Image (.zip file) | Export Figure to PowerPoint

FIG.3
Solid squares represent the experimental ω∗(ε′/σ) which is ωτ, while the solid line represents the calculated probability after the product ωτ: Here τ varies in a logarithmic manner from 10−9 up to 10−3 s. The maximum probability occurs at fc = 1.25×106 Hz.

FIG.3 Download High Resolution Image (.zip file) | Export Figure to PowerPoint

FIG.4
The electric dispersion of normal and diabetic blood as a function of frequency. Solid lines represent calculated values after Eq. ( 30 ) and triangles and squares are experimental data for normal and diabetic bloods, respectively.

FIG.4 Download High Resolution Image (.zip file) | Export Figure to PowerPoint

FIG.5
The relaxation time, τ, of normal and diabetic bloods as a function of frequency. The calculated values after Eq. ( 30 ) coincide with the experimental values (squares and triangles are experimental data for normal and diabetic bloods, respectively); but these calculated values are omitted for more clarity.

FIG.5 Download High Resolution Image (.zip file) | Export Figure to PowerPoint

FIG.6
Variation of blood electrical resistivity (ρ cm) with the viscosity in Pa s; the continuous lines are calculated after Eq. ( 36 ) while closed circles and open squares are experimental values of the conductivity after Popa et al. (Ref. 36).

FIG.6 Download High Resolution Image (.zip file) | Export Figure to PowerPoint



Close
Google Calendar
ADVERTISEMENT

close