Autor segons l'article: Ramon A. Alvarez-Puebla; Nicolas Pazos-Perez; Elena Pazos; Carme Catala; Bernat Mir-Simon; Sara Gómez-de Pedro; Juan Sagales; Carlos Villanueva; Jordi Vila; Alex Soriano; F. Javier García de Abajo
Departament: Química Física i Inorgànica
Autor/s de la URV: ALVAREZ PUEBLA, RAMON ANGEL; Nicolas Pazos-Perez; Elena Pazos; Carme Catala; Bernat Mir-Simon; Sara Gómez-de Pedro; Juan Sagales; Carlos Villanueva; Jordi Vila; Alex Soriano; F. Javier García de Abajo
Paraules clau: Està en blanc
Resum: Efficient treatments in bacterial infections require the fast and accurate recognition of pathogens, with concentrations as low as one per milliliter in the case of septicemia. Detecting and quantifying bacteria in such low concentrations is challenging and typically demands cultures of large samples of blood (∼1 milliliter) extending over 24-72 hours. This delay seriously compromises the health of patients. Here we demonstrate a fast microorganism optical detection system for the exhaustive identification and quantification of pathogens in volumes of biofluids with clinical relevance (∼1 milliliter) in minutes. We drive each type of bacteria to accumulate antibody functionalized SERS-labelled silver nanoparticles. Particle aggregation on the bacteria membranes renders dense arrays of inter-particle gaps in which the Raman signal is exponentially amplified by several orders of magnitude relative to the dispersed particles. This enables a multiplex identification of the microorganisms through the molecule-specific spectral fingerprints.
Grup de recerca: Grupo de Plasmonica y Ultradetección
Àrees temàtiques: Chemistry Química Química
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2045-2322
Identificador de l'autor: 0000-0003-4770-5756; 0000-0002-2326-4231; 0000-0001-9397-2703; n/a; n/a; n/a; n/a; n/a; 0000-0002-8025-3926; n/a; 0000-0002-4970-4565
Data d'alta del registre: 2016-07-18
Volum de revista: 6
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Pàgina inicial: Art.num. 29014
Tipus de publicació: Article Artículo Article
Repositori URV