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Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids
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 sample...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929498/ https://www.ncbi.nlm.nih.gov/pubmed/27364357 http://dx.doi.org/10.1038/srep29014 |
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author | Pazos-Perez, Nicolas Pazos, Elena Catala, Carme Mir-Simon, Bernat Gómez-de Pedro, Sara Sagales, Juan Villanueva, Carlos Vila, Jordi Soriano, Alex García de Abajo, F. Javier Alvarez-Puebla, Ramon A. |
author_facet | Pazos-Perez, Nicolas Pazos, Elena Catala, Carme Mir-Simon, Bernat Gómez-de Pedro, Sara Sagales, Juan Villanueva, Carlos Vila, Jordi Soriano, Alex García de Abajo, F. Javier Alvarez-Puebla, Ramon A. |
author_sort | Pazos-Perez, Nicolas |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4929498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49294982016-07-06 Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids Pazos-Perez, Nicolas Pazos, Elena Catala, Carme Mir-Simon, Bernat Gómez-de Pedro, Sara Sagales, Juan Villanueva, Carlos Vila, Jordi Soriano, Alex García de Abajo, F. Javier Alvarez-Puebla, Ramon A. Sci Rep Article 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. Nature Publishing Group 2016-07-01 /pmc/articles/PMC4929498/ /pubmed/27364357 http://dx.doi.org/10.1038/srep29014 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Pazos-Perez, Nicolas Pazos, Elena Catala, Carme Mir-Simon, Bernat Gómez-de Pedro, Sara Sagales, Juan Villanueva, Carlos Vila, Jordi Soriano, Alex García de Abajo, F. Javier Alvarez-Puebla, Ramon A. Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids |
title | Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids |
title_full | Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids |
title_fullStr | Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids |
title_full_unstemmed | Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids |
title_short | Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids |
title_sort | ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929498/ https://www.ncbi.nlm.nih.gov/pubmed/27364357 http://dx.doi.org/10.1038/srep29014 |
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