Simulation of Drug Release in a Polymer Screw
الموضوعات :
Amirhossein Badami
1
(M.Sc. Student, Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Sayed Hasan Mirtalaie
2
(Assistant Professor, Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
الکلمات المفتاحية: Simulation, Drug release, Navier-Stokes equations, Polymer Screw,
ملخص المقالة :
In recent years, research in the field of pharmaceutical sciences has led to the design of drugs for various diseases. But for the treatment of some diseases, drugs with high side effects and low efficiency are used. Designing targeted drug release systems is one of the solutions to this problem. These systems can deliver a controlled amount of drug to the target cell or tissue. In this paper, drug release was simulated in a screw model designed in Comsol software for orthopedic applications. The purpose of this simulation is to investigate the distribution of the drug concentration on the screw in the surrounding chamber over time. To simulate drug release in a fluid, Navier-Stokes equations for incompressible fluid are used for fluid velocity and pressure, as well as mass transfer equations for the drug concentration distribution. A tetrahedral mesh is used for meshing the model. This simulation is performed in a time-dependent manner for 72 hours with time steps of 0.1 hours. The equations have been solved directly with the PARDISO solver. The obtained results show that drug distribution changes exponentially. As can be seen, the first release of the drug was incremental to 50 hours, and after the release amount, it reached a constant and maximum value.
[1] Santadkha, T., Skolpap, W. and Thitapakorn, V. 2022. Diffusion Modeling and In Vitro Release Kinetics Studies of Curcumin−Loaded Superparamagnetic Nanomicelles in Cancer Drug Delivery System. Journal of Pharmaceutical Sciences. 111(6): 1690-1699.
[2] Yadav, M., Thakore, S. and Jadeja, R. 2022. A review on remediation technologies using functionalized cyclodextrin. Environmental Science and Pollution Research. 29(1): 236-250.
[3] Abbasi‐Kesbi, R. and Nikfarjam, A., 2017. Denoising MEMS accelerometer sensors based on L2‐norm total variation algorithm. Electronics Letters. 53(5): 322-324.
[4] Fathi, M., Nemati, M., Mohammadi, S.M. and Abbasi-Kesbi, R. 2020. A machine learning approach based on SVM for classification of liver diseases. Biomedical Engineering: Applications, Basis and Communications. 32(03):2050018.
[5] Abbasi‐Kesbi, R., Memarzadeh‐Tehran, H. and Deen, M.J. 2017. Technique to estimate human reaction time based on visual perception. Healthcare technology letters. 4(2): 73-77.
[6] Akhavanhezaveh, A. and Abbasi‐Kesbi, R. 2021. Diagnosing gait disorders based on angular variations of knee and ankle joints utilizing a developed wearable motion sensor. Healthcare Technology Letters. 8(5): 118-127.
[7] Abbasi-Kesbi, R., Asadi, Z. and Nikfarjam, A. 2020. Developing a wireless sensor network based on a proposed algorithm for healthcare purposes. Biomedical engineering letters. 10(1): 163-170.
[8] Machín, R., Isasi, J.R. and Vélaz, I. 2012. β-Cyclodextrin hydrogels as potential drug delivery systems. Carbohydrate polymers. 87(3): 2024-2030.
[9] Del Valle, E.M. 2004. Cyclodextrins and their uses: a review. Process biochemistry. 39(9): 1033-1046.
[10] Bhardwaj, N. and Kundu, S.C. 2010. Electrospinning: a fascinating fiber fabrication technique. Biotechnology advances. 28(3): 325-347.
[11] Arruebo, M., 2012. Drug delivery from structured porous inorganic materials. Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology. 4(1): 16-30.
[12] Davis, M.E. 2002. Ordered porous materials for emerging applications. Nature. 417(6891): 813-821.
[13] Zhang, X., Liu, K., Zhao, J., Zhang, Z., Luo, Z., Guo, Y., Zhang, H., Wang, Y., Bai, R., Zhao, D. and Yang, X. 2022. Mechanically interlocked aerogels with densely rotaxanated backbones. Journal of the American Chemical Society. 144(25): 11434-11443.
[14] Graf, C., Dembski, S., Hofmann, A. and Rühl, E. 2006. A general method for the controlled embedding of nanoparticles in silica colloids. Langmuir. 22(13): 5604-5610.
[15] Götz, W., Tobiasch, E., Witzleben, S. and Schulze, M. 2019. Effects of silicon compounds on biomineralization, osteogenesis, and hard tissue formation. Pharmaceutics. 11(3): 117.
[16] Khalil, A.M., Hassanin, A.H., El-kaliuoby, M., Omran, N., Gamal, M., El-Khatib, A., Kandas, I. and Shehata, N. 2022. Innovative antibacterial electrospun nanofibers mats depending on piezoelectric generation. Scientific Reports. 12(1): 1-15.
[17] Hebatalrahman, A., 2022. An Investigation of the Manufacturing Process, Structure, and Performance of the new micro and mano thermoplastic-based composites prepared with zeolite filler. Journal of Modern Processes in Manufacturing and Production, 11(1): 5-19.
[18] Haghshenas, A. and Shahrajabian, H. 2021. The mechanical properties of PA6/NBR/clay/CaCO3 hybrid nanocomposites. Journal of Modern Processes in Manufacturing and Production. 10(1): 19-30.
[19] Melchor-Martínez, E.M., Torres Castillo, N.E., Macias-Garbett, R., Lucero-Saucedo, S.L., Parra-Saldívar, R. and Sosa-Hernández, J.E. 2021. Modern world applications for nano-bio materials: tissue engineering and COVID-19. Frontiers in Bioengineering and Biotechnology. 9:597958.
[20] Xu, X., Chen, X., Xu, X., Lu, T., Wang, X., Yang, L. and Jing, X. 2006. BCNU-loaded PEG–PLLA ultrafine fibers and their in vitro antitumor activity against Glioma C6 cells. Journal of controlled release. 114(3): 307-316.
[21] Fan, S., Zhang, Y., Huang, X., Geng, L., Shao, H., Hu, X. and Zhang, Y. 2019. Silk materials for medical, electronic and optical applications. Science China Technological Sciences. 62(6): 903-918.
[22] Nouri, M., Mokhtari, J., Salmani, L. and Sadeghieh, K. 2016. Electrospinning of Silk Fibroin/-Cyclodextrin Nano bers for Controlled Drug Release. Iran. J. Polym. Sci. Technol. 29: 89-100
[23] Bigham, A., Hassnzadeh, T.S.A., Rafienia, A. and Salehi, H. 2018. Synthesis and characterization of mesoporous magnesium silicate for controlled release drug applications. Journal of Advanced Processes in Materials Engineering. 12(1):73-83.
