Autor según el artículo: Guerrini L; Pazos-Perez N; Garcia-Rico E; Alvarez-Puebla R
Departamento: Química Física i Inorgànica
Autor/es de la URV: Alvarez Puebla, Ramon Angel / Guerrini, Luca / Pazos Pérez, Nicolás Carlos
Palabras clave: Good health and well-being
Resumen: Early diagnosis, monitoring and treatment selection of cancer represent major challenges in medicine. The definition of the complex clinical and molecular landscape of cancer requires the combination of multiple techniques and the investigation of multiple targets. As a result, diagnosis is normally lengthy, expensive and, in many cases, cannot be performed recursively. In recent years, optical biosensors, especially those based on the unique properties of plasmonic nanostructures, have emerged as one of the most exciting tools in nanomedicine, capable of overcoming key limitations of classical techniques. In this review, we specifically focus our attention on the latest advances in optical biosensors exploiting surface-enhanced Raman scattering encoded particles for the characterization of tumor single cells (molecular biology) and tissues (immunohistochemistry and guided surgery), as well as their application in guided surgery or even in bioimaging of living organisms.
Áreas temáticas: Physical and theoretical chemistry Pharmaceutical science Oncology Nanoscience & nanotechnology Biomedical engineering
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: ramon.alvarez@urv.cat luca.guerrini@urv.cat nicolas.pazos@urv.cat
Identificador del autor: 0000-0003-4770-5756 0000-0002-2925-1562 0000-0002-2326-4231
Fecha de alta del registro: 2024-11-23
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Cancer Nanotechnology. 8 (1):
Referencia de l'ítem segons les normes APA: Guerrini L; Pazos-Perez N; Garcia-Rico E; Alvarez-Puebla R (2017). Cancer characterization and diagnosis with SERS-encoded particles. Cancer Nanotechnology, 8(1), -. DOI: 10.1186/s12645-017-0031-3
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2017
Tipo de publicación: Journal Publications