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Tytuł artykułu

Numerical simulation of oxygen distribution in soft tissue exposed to an external heat impulse

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of this study is to analyse the effect of elevated temperature on oxygen distribution in biological tissue. The effect of temperature and thermal tissue damage on the values of thermophysical parameters was considered. Changes in the perfusion coefficient affect blood velocity in the capillary, thereby influencing the distribution of partial oxygen pressure. In the tissue area, the effect of myoglobin was taken into account. Furthermore, the effect of mitochondrial clustering on oxygen distribution was also analysed. The finite difference method and the shooting method were used in the numerical implementation stage.
Rocznik
Strony
133--144
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
  • Department of Computational Mechanics and Engineering, Silesian University of Technology, Gliwice, Poland
  • Department of Computational Mechanics and Engineering, Silesian University of Technology, Gliwice, Poland
Bibliografia
  • 1. Oden, J.T., Diller, K.R., Bajaj, C., Browne, J.C., Hazle, J., Babuška, I., Bass, J., Biduat, L., Demkowicz, L., Elliott, A., Feng, Y., Fuentes, D., Prudhomme, S., Rylander, M.N., Stafford, R.J., & Zhang, Y. (2007). Dynamic data-driven finite element models for laser treatment of cancer. Numerical Methods for Partial Differential Equations, 23(4), 904-922. DOI: 10.1002/NUM.20251
  • 2. Abraham, J.P., & Sparrow, E.M. (2007). A thermal-ablation bioheat model including liquid-to-vapor phase change, pressure- and necrosis-dependent perfusion, and moisture-dependentproperties. International Journal of Heat and Mass Transfer, 50(13-14), 2537-2544. DOI: 10.1016/J.IJHEATMASSTRANSFER.2006.11.045.
  • 3. Jasiński, M. (2022). Numerical analysis of thermal damage and oxygen distribution in laser irradiated tissue. Journal of Applied Mathematics and Computational Mechanics, 21(2), 51-62. DOI: 10.17512/JAMCM.2022.2.05.
  • 4. Goldman, D. (2008). Theoretical models of microvascular oxygen transport to tissue. Microcirculation, 15(8), 795-811. DOI: 10.1080/10739680801938289.
  • 5. Whiteley, J.P., Gavaghan, D.J., & Hahn, C.E.W. (2002). Mathematical modelling of oxygen transport to tissue. Journal of Mathematical Biology, 44, 503-522. DOI: 10.1007/S002850200135.
  • 6. Fletcher, J.E. (1980). On facilitated oxygen diffusion in muscle tissues. Biophysical Journal, 29(3), 437. DOI: 10.1016/S0006-3495(80)85145-9.
  • 7. Kurz, F.T., Aon, M.A., O’Rourke, B., & Armoundas, A.A. (2017). Functional implications of cardiac mitochondria clustering. Advances in Experimental Medicine and Biology, 982, 1-24. DOI: 10.1007/978-3-319-55330-6_1.
  • 8. Zhu, T.C., Liu, B., & Penjweini, R. (2015). Study of tissue oxygen supply rate in a macroscopic photodynamic therapy singlet oxygen model. Journal of Biomedical Optics, 20(3), 038001. DOI: 10.1117/1.JBO.20.3.038001.
  • 9. El-Nabulsi, R.A., & Anukool, W. (2022). Nonlocal thermal effects on biological tissues and tumors. Thermal Science and Engineering Progress, 34, 101424. DOI: 10.1016/J.TSEP.2022.101424.
  • 10. Paruch, M. (2020). Mathematical modeling of breast tumor destruction using fast heating during radiofrequency ablation. Materials (Basel, Switzerland), 13(136), 455-458. DOI: 10.3390/MA 13010136.
  • 11. El-Nabulsi, R.A. (2021). Fractal Pennes and Cattaneo-Vernotte bioheat equations from productlike fractal geometry and their implications on cells in the presence of tumour growth. Journal of the Royal Society Interface, 18(182), 20210564. DOI: 10.1098/RSIF.2021.0564.
  • 12. Majchrzak, E., & Stryczyński, M. (2021). Dual-phase lag model of heat transfer between blood vessel and biological tissue. Mathematical Biosciences and Engineering: MBE, 18(2), 1573-1589. DOI: 10.3934/MBE.2021081.
  • 13. Alzahrani, F., & Abbas, I. (2022). A numerical solution of nonlinear DPL bioheat model in biological tissue due to laser irradiations. Indian Journal of Physics, 96(2), 377-383. DOI: 10.1007/ s12648-020-01988-w.
  • 14. Jasiński, M., & Zadoń, M. (2023). Modeling of the influence of elevated temperature on oxygen distribution in soft tissue. Engineering Transactions, 71(3), 287-306. DOI: 10.24423/ENGTRANS.3086.20230426.
  • 15. Hamilton, G. (1998). Investigations of the thermal properties of human and animal tissues, Ph.D. Thesis. https://eleanor.lib.gla.ac.uk/record=b1789586.
  • 16. McGuire, B.J., & Secomb, T.W. (2001). A theoretical model for oxygen transport in skeletal muscle under conditions of high oxygen demand. Journal of Applied Physiology, 91(5), 2255-2265. DOI: 10.1152/jappl.2001.91.5.2255.
  • 17. Keskin, A.U. (2019). Boundary Value Problems for Engineers. In: Boundary Value Problems for Engineers. Springer International Publishing. DOI: 10.1007/978-3-030-21080-9.
  • 18. Majchrzak, E., Turchan, L., & Jasiński, M. (2019). Identification of laser intensity assuring the destruction of target region of biological tissue using the gradient method and generalized dual-phase lag equation. Iranian Journal of Science and Technology – Transactions of Mechanical Engineering, 43, 539-548. DOI: 10.1007/s40997-018-0225-2.
  • 19. Jurgens, K.D., Papadopoulos, S., Peters, T., & Gros, G. (2000). Myoglobin: Just an oxygen store or also an oxygen transporter? News in Physiological Sciences, 15(5), 269-274. DOI: 10.1152/ physiologyonline.2000.15.5.269.
  • 20. Roy, T.K., & Popel, A.S. (1996). Theoretical predictions of end-capillary PO2 in muscles of athletic and nonathletic animals at VO2max. The American Journal of Physiology, 271(2 Pt 2). DOI: 10.1152/AJPHEART.1996.271.2.H721.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7e794ab1-6545-44ad-bef8-413b6f9668d1
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