Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor

[Image: see text] Identification of infectious bacteria responsible for biofilm-associated infections is challenging due to the complex and heterogeneous biofilm matrix. To address this issue and minimize the impact of heterogeneity on biofilm identification, we developed a gold nanoparticle (AuNP)-...

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Autores principales: Li, Xiaoning, Kong, Hao, Mout, Rubul, Saha, Krishnendu, Moyano, Daniel F., Robinson, Sandra M., Rana, Subinoy, Zhang, Xinrong, Riley, Margaret A., Rotello, Vincent M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278688/
https://www.ncbi.nlm.nih.gov/pubmed/25454256
http://dx.doi.org/10.1021/nn505753s
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author Li, Xiaoning
Kong, Hao
Mout, Rubul
Saha, Krishnendu
Moyano, Daniel F.
Robinson, Sandra M.
Rana, Subinoy
Zhang, Xinrong
Riley, Margaret A.
Rotello, Vincent M.
author_facet Li, Xiaoning
Kong, Hao
Mout, Rubul
Saha, Krishnendu
Moyano, Daniel F.
Robinson, Sandra M.
Rana, Subinoy
Zhang, Xinrong
Riley, Margaret A.
Rotello, Vincent M.
author_sort Li, Xiaoning
collection PubMed
description [Image: see text] Identification of infectious bacteria responsible for biofilm-associated infections is challenging due to the complex and heterogeneous biofilm matrix. To address this issue and minimize the impact of heterogeneity on biofilm identification, we developed a gold nanoparticle (AuNP)-based multichannel sensor to detect and identify biofilms based on their physicochemical properties. Our results showed that the sensor can discriminate six bacterial biofilms including two composed of uropathogenic bacteria. The capability of the sensor was further demonstrated through discrimination of biofilms in a mixed bacteria/mammalian cell in vitro wound model.
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spelling pubmed-42786882015-12-02 Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor Li, Xiaoning Kong, Hao Mout, Rubul Saha, Krishnendu Moyano, Daniel F. Robinson, Sandra M. Rana, Subinoy Zhang, Xinrong Riley, Margaret A. Rotello, Vincent M. ACS Nano [Image: see text] Identification of infectious bacteria responsible for biofilm-associated infections is challenging due to the complex and heterogeneous biofilm matrix. To address this issue and minimize the impact of heterogeneity on biofilm identification, we developed a gold nanoparticle (AuNP)-based multichannel sensor to detect and identify biofilms based on their physicochemical properties. Our results showed that the sensor can discriminate six bacterial biofilms including two composed of uropathogenic bacteria. The capability of the sensor was further demonstrated through discrimination of biofilms in a mixed bacteria/mammalian cell in vitro wound model. American Chemical Society 2014-12-02 2014-12-23 /pmc/articles/PMC4278688/ /pubmed/25454256 http://dx.doi.org/10.1021/nn505753s Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Li, Xiaoning
Kong, Hao
Mout, Rubul
Saha, Krishnendu
Moyano, Daniel F.
Robinson, Sandra M.
Rana, Subinoy
Zhang, Xinrong
Riley, Margaret A.
Rotello, Vincent M.
Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor
title Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor
title_full Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor
title_fullStr Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor
title_full_unstemmed Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor
title_short Rapid Identification of Bacterial Biofilms and Biofilm Wound Models Using a Multichannel Nanosensor
title_sort rapid identification of bacterial biofilms and biofilm wound models using a multichannel nanosensor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278688/
https://www.ncbi.nlm.nih.gov/pubmed/25454256
http://dx.doi.org/10.1021/nn505753s
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