This study focuses on providing a comparative mathematical analysis of drug release from polymeric nanoparticle with different structures to allow in silico prediction of the appropriate and optimal model that applies to the whole drug release and not limited to a part of the process. The drug release data from nanoparticles have been applied using MATLAB software to apply mathematical models such as Zero-order, First-order, Higuchi, Hixson–Crowell, Korsmeyer-Peppas models besides a proposed model called Tanh function. This study results highlight the usefulness of mathematical models, key findings emerge that the Tanh model and First-order model gave the best fits of the parameters data as both model's plots showed high linear correlation (R2 = 0.9781, 0.9448) respectively. Finally, this study concludes that both proposed Tanh function and First-order model shows better performance, giving good results and can be successfully used to characterize drug and applied for prolonged drugs release.

Cancer" is the most terrifying disease, just hearing the word "C" is a horror for every patient. Notably, the conventional doses form of taking the anticancer drugs are having ruthless side effects and high toxicity on the patient's body. The design of nanoparticles while maintaining the sink condition in the laboratory release trials is one of the biggest challenges and difficulties in design, especially those low-solubility drugs that are used as anticancer agent carriers. If the doctor is aware of the pharmacokinetics of chemotherapy, it will facilitate and help in determining the amount of dosage required in order to obtain a high therapeutic accuracy and reduce toxicity and affect healthy cells. For this purpose, this paper aims to simulate the pharmacokinetic of different types of chemotherapeutic agents to study the kinetics based on solid lipid drug delivery systems nanoparticles (SLN) by examining drug release from different types of devices such as matrix system and reservoir devices controlled by the diffusion mechanism using preposed and estimated values extracted from literature studies which will help to manufacture nanoparticles that meet specific requirements. In order to determine which device type is optimal and best to use as a drug delivery system to cancerous cells and then examin the effect of particle size of this type, ranging from 10 to 100 nm on the anticancer drug relese and decide the best size that give the requierd dose of each chemotherapy drugs that were used in this study, we simulated the release behavior of nanoparticles with nano-sphare geometry using the MATLAB software. As majour finding of this study, the solid lipid based nanoparticles for drug delivery with matrix solution system type shows prolonged drug release which means that this type of systems have high loading capacity of the various chemotheraputic active compounds and can be use sucssfuly as anticancer agent drug delivery.

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Today, the biological compatibility properties of gold nanoparticles (AuNPs) have made them an important area for research in medical applications such as cancer diagnosis, treatment, and imaging. This article seeks to address the potential of precious metals such as AuNPs in the treatment of cancerous cells using COMSOL Multiphysics to model heat transfer in lung carcinoid tumor. The study also investigated and discussed how to harness the gold power and properties in killing cancer cells without harming the healthy ones. One of the more significant findings to emerge from this study is that both PDE (diffusion equation) and heat transfer modules can model the thermal activation of the AuNP and predict the thermal profile inside the tumor successfully.

AbstractNanoparticles have become one of the emerging and promising technologies that revolutionized the medical field’s future on which has received much attention from the scientific community and researchers. Nanotechnology-based targeted drug delivery has a high capacity for loading large amounts of anticoagulants drug to dissolve clots in a safe manner without affecting healthy blood vessels. This paper seeks to provide a better understanding of both the anticoagulant drug release process and the coagulation eliminating process by simulating each process using chemical reaction engineering, moving mesh, and convection-diffusion equation modules. This study adds to a growing corpus of research showing that nanotechnology empowers in treating blood clots within 2-4 hours. In addition, these results cast a new light on a better understanding of the anticoagulation drug diffusion from both spheres and multiply-twinned nanoparticles besides the reduction of clots growth and how it dissolved over time.