| Autor: |
Sudip Mondal, José Luis Montaño-Priede, Van Tu Nguyen, Sumin Park, Jaeyeop Choi, Vu Hoang Minh Doan, Thi Mai Thien Vo, Tan Hung Vo, Nicolas Large, Chang-Seok Kim, Junghwan Oh |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Journal of advanced research. 41 |
| ISSN: |
2090-1224 |
| Popis: |
The advanced features of plasmonic nanomaterials enable initial high accuracy detection with different therapeutic intervention. Computational simulations could estimate the plasmonic heat generation with a high accuracy and could be reliably compared to experimental results. This proposed combined theoretical-experimental strategy may help researchers to better understand other nanoparticles in terms of plasmonic efficiency and usability for future nano-theranostic research.To develop innovative computationally-driven approach to quantify any plasmonic nanoparticles photothermal efficiency and effects before their use as therapeutic agents.This report introduces drug free plasmonic silver triangular nanoprisms coated with polyvinyl alcohol biopolymer (PVA-SNT), for in vivo photoacoustic imaging (PAI) guided photothermal treatment (PTT) of triple-negative breast cancer mouse models. The synthesized PVA-SNT nanoparticles were characterized and a computational electrodynamic analysis was performed to evaluate and predict the optical and plasmonic photothermal properties. The in vitro biocompatibility and in vivo tumor abalation study was performed with MDA-MB-231 human breast cancer cell line and in nude mice model.The drug free 140 μg∙mLThis is a first complete study on computational simulations to estimate the plasmonic heat generation followed by drug free plasmonic PAI guided PTT for cancer treatment. This computationally-driven theranostic approach demonstrates an innovative thought regarding the nanoparticles shape, size, concentration, and composition which could be useful for the prediction of photothermal heat generation in precise nanomedicine applications. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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