dc.contributor.author
Pazos Pérez, Nicolas
dc.contributor.author
Pazos, Elena
dc.contributor.author
Catala, Carme
dc.contributor.author
Mir Simon, Bernat
dc.contributor.author
Gómez de Pedro, Sara
dc.contributor.author
Sagales, Juan
dc.contributor.author
Villanueva, Carlos
dc.contributor.author
Vila Estapé, Jordi
dc.contributor.author
Soriano Viladomiu, Alex
dc.contributor.author
García de Abajo, F. Javier
dc.contributor.author
Álvarez Puebla, Ramón A.
dc.date.issued
2016-09-06T07:10:16Z
dc.date.issued
2016-09-06T07:10:16Z
dc.date.issued
2016-07-01
dc.date.issued
2016-08-10T18:00:22Z
dc.identifier
https://hdl.handle.net/2445/101576
dc.description.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.
dc.format
application/pdf
dc.format
application/pdf
dc.publisher
Springer Nature
dc.relation
Reproducció del document publicat a:
http://dx.doi.org/10.1038/srep29014
dc.relation
Scientific Reports, 2016, vol. 6, num. , p. 29014
dc.relation
http://dx.doi.org/10.1038/srep29014
dc.relation
info:eu-repo/grantAgreement/EC/FP7/623527/EU//PRIOSERS
dc.rights
cc by (c) Pazos-Pérez et al., 2016
dc.rights
http://creativecommons.org/licenses/by/3.0/es/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Medicina)
dc.subject
Malalties bacterianes
dc.subject
Nanopartícules
dc.subject
Bacterial diseases
dc.title
Ultrasensitive multiplex optical quantification of bacteria in large samples of biofluids
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion