Abstract
Gold nanoparticle-enabled plasmonic photothermal therapy (PPTT) has garnered widespread attention in recent years as a highly targeted and non-invasive treatment for tumor. In order to accelerate its practical application in clinical. This study introduces a tumor computational model that combines the physical properties of plasmonic resonance and photothermal conversion with the biological characteristics of tumor growth and treatment response. The results indicate that 140 nm nanorods exhibit the best therapeutic performance and are significantly enhanced under the influence of collective effects. In addition, by coupling the average absorption power of the 140 nm nanorod as heat source to a micro-scale model, it is found that 42.5 °C is the ideal temperature for tumor tissue. Our computational model provides an important reference for optimizing the application of PPTT in tumor therapy, offering the potential for more effective, targeted, and less harmful tumor treatment.
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