2021/11/22 by Alireza Rowhanimanesh, Rowhanimanesh, Alireza, Mohammad-R. Akbarzadeh-T +1
Biochemistry, Genetics and Molecular Biology · Engineering · Immunology and Microbiology · Physics and Astronomy · #Advanced Fluorescence Microscopy Techniques #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Micro and Nano Robotics #Molecular Communication and Nanonetworks #Phagocytosis and Immune Regulation #Quantitative Methods (q-bio.QM) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2111.11499
openalex publication_date 2021/11/22 · openalex created_date 2022/11/02 · openalex updated_date 2026/07/28
This paper proposes a mathematical approach for robust control of a nanoscale\ndrug delivery system in treatment of atherosclerosis. First, a new nonlinear\nlumped model is introduced for mass transport in the arterial wall, and its\naccuracy is evaluated in comparison with the original distributed-parameter\nmodel. Then, based on the notion of sliding-mode control, an abstract model is\ndesigned for a smart drug delivery nanoparticle. In contrast to the competing\nstrategies on nanorobotics, the proposed nanoparticles carry simpler hardware\nto penetrate the interior arterial wall and become more technologically\nfeasible. Finally, from this lumped model and the nonlinear control theory, the\noverall system's stability is mathematically proven in the presence of\nuncertainty. Simulation results on a well-known model, and comparisons with\nearlier benchmark approaches, reveals that even when the LDL concentration in\nthe lumen is high, the proposed nanoscale drug delivery system successfully\nreduces the drug consumption levels by as much as 16% and the LDL level in the\nEndothelium, Intima, Internal Elastic Layer (IEL) and Media layers of an\nunhealthy arterial wall by as much as 14.6%, 50.5%, 51.8%, and 64.4%,\nrespectively.\n