Abstract
A computational modeling is employed for quantitative assessment of weld formation and area of tissue temperature necrosis during the human skin laser soldering. The evaluation is carried out depending on the components composition of using solders, including bovine serum albumin (BSA), indocyanine green (ICG), and carbon nanotubes (CNTs), as well as the angle of incidence of laser light and its pulse duration. The influence of CNT on the change of thermodynamic characteristics of albumin denaturation and the rate of formation of the laser weld is investigated. The obtained results suggest to limit the duration of laser light pulse by temperature relaxation time to minimize transfer of thermal energy to reduce the heating of human skin tissues. The developed model has a great potential for further optimization of laser soldering of biological tissues technology with greater efficiency in minimizing the weld area.
Original language | English |
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Article number | e202300070 |
Number of pages | 10 |
Journal | Journal of Biophotonics |
Volume | 16 |
Issue number | 8 |
Early online date | 21 May 2023 |
DOIs | |
Publication status | Published - Aug 2023 |
Bibliographical note
Funding Information:Development of weld formation model in human skin laser soldering and research by differential scanning calorimetry method was supported by the Russian Science Foundation grant No. 22‐75‐00089, https://rscf.ru/project/22-75-00089/ . This research work was supported by the Academic leadership program Priority 2030 proposed by Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University) and partially supported by the Academy of Finland (grant 325097). Authors acknowledge Prof. Valery Tuchin (Saratov State University) for valuable comments at the stage of paper preparation.
Publisher Copyright:
© 2023 Wiley-VCH GmbH.
Keywords
- denaturation
- thermal necrosis
- laser soldering
- albumin
- numerical simulation
- carbon nanotubes