Articles producció científicaQuímica Física i Inorgànica

Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids

  • Identification data

    Identifier:  PC:1784
    Authors:  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
    Abstract:
    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.
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    Link to the original source: https://www.nature.com/articles/srep29014
    Article's DOI: 10.1038/srep29014
    Journal publication year: 2016
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2016-07-18
    First page: Art.num. 29014
    URV's Author/s: 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
    Department: Química Física i Inorgànica
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Article
    ISSN: 2045-2322
    Author, as appears in the 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Journal volume: 6
    Research group: Grupo de Plasmonica y Ultradetección
    Thematic Areas: Chemistry