Probabilistic Theory of Efficient Internalization of Nanoparticles at Targeted Drug Delivery Strategies
Descripción del Articulo
In this paper, the action that lead to an efficiently Targeted Drug Delivery through the process of internalization is studied. Although one can expects that the probability to reach a target is, however in praxis this might not be clean in the sense that the surface of nanoparticles composed by ion...
Autor: | |
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad Autónoma del Perú |
Repositorio: | AUTONOMA-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.autonoma.edu.pe:20.500.13067/1704 |
Enlace del recurso: | https://hdl.handle.net/20.500.13067/1704 https://doi.org/10.1109/BIBE50027.2020.00037 |
Nivel de acceso: | acceso restringido |
Materia: | Nanoparticles Surface cleaning Targeted drug delivery Surface waves Ions Wave functions Tumors https://purl.org/pe-repo/ocde/ford#2.02.04 |
Sumario: | In this paper, the action that lead to an efficiently Targeted Drug Delivery through the process of internalization is studied. Although one can expects that the probability to reach a target is, however in praxis this might not be clean in the sense that the surface of nanoparticles composed by ions exerts electrical interaction with charged electrically compounds around. The action to internalize the nanoparticle acquires relevance when one expects either electrical attraction or repulsion between nanoparticle and tumor or target tissue. This paper tries to model this through the concept of overlapping wave functions. The results would indicate that quantum numbers might be critic at the action of internalization. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).