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Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry

Rapid detection of target bacteria is crucial to provide a safe food supply and to prevent foodborne diseases. Herein, we present an optical biosensor for identification and quantification of Escherichia coli (E. coli, used as a model indicator bacteria species) in complex food industry process wate...

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Autores principales: Massad-Ivanir, Naama, Shtenberg, Giorgi, Raz, Nitzan, Gazenbeek, Christel, Budding, Dries, Bos, Martine P., Segal, Ester
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128872/
https://www.ncbi.nlm.nih.gov/pubmed/27901131
http://dx.doi.org/10.1038/srep38099
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author Massad-Ivanir, Naama
Shtenberg, Giorgi
Raz, Nitzan
Gazenbeek, Christel
Budding, Dries
Bos, Martine P.
Segal, Ester
author_facet Massad-Ivanir, Naama
Shtenberg, Giorgi
Raz, Nitzan
Gazenbeek, Christel
Budding, Dries
Bos, Martine P.
Segal, Ester
author_sort Massad-Ivanir, Naama
collection PubMed
description Rapid detection of target bacteria is crucial to provide a safe food supply and to prevent foodborne diseases. Herein, we present an optical biosensor for identification and quantification of Escherichia coli (E. coli, used as a model indicator bacteria species) in complex food industry process water. The biosensor is based on a nanostructured, oxidized porous silicon (PSi) thin film which is functionalized with specific antibodies against E. coli. The biosensors were exposed to water samples collected directly from process lines of fresh-cut produce and their reflectivity spectra were collected in real time. Process water were characterized by complex natural micro-flora (microbial load of >10(7) cell/mL), in addition to soil particles and plant cell debris. We show that process water spiked with culture-grown E. coli, induces robust and predictable changes in the thin-film optical interference spectrum of the biosensor. The latter is ascribed to highly specific capture of the target cells onto the biosensor surface, as confirmed by real-time polymerase chain reaction (PCR). The biosensors were capable of selectively identifying and quantifying the target cells, while the target cell concentration is orders of magnitude lower than that of other bacterial species, without any pre-enrichment or prior processing steps.
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spelling pubmed-51288722016-12-15 Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry Massad-Ivanir, Naama Shtenberg, Giorgi Raz, Nitzan Gazenbeek, Christel Budding, Dries Bos, Martine P. Segal, Ester Sci Rep Article Rapid detection of target bacteria is crucial to provide a safe food supply and to prevent foodborne diseases. Herein, we present an optical biosensor for identification and quantification of Escherichia coli (E. coli, used as a model indicator bacteria species) in complex food industry process water. The biosensor is based on a nanostructured, oxidized porous silicon (PSi) thin film which is functionalized with specific antibodies against E. coli. The biosensors were exposed to water samples collected directly from process lines of fresh-cut produce and their reflectivity spectra were collected in real time. Process water were characterized by complex natural micro-flora (microbial load of >10(7) cell/mL), in addition to soil particles and plant cell debris. We show that process water spiked with culture-grown E. coli, induces robust and predictable changes in the thin-film optical interference spectrum of the biosensor. The latter is ascribed to highly specific capture of the target cells onto the biosensor surface, as confirmed by real-time polymerase chain reaction (PCR). The biosensors were capable of selectively identifying and quantifying the target cells, while the target cell concentration is orders of magnitude lower than that of other bacterial species, without any pre-enrichment or prior processing steps. Nature Publishing Group 2016-11-30 /pmc/articles/PMC5128872/ /pubmed/27901131 http://dx.doi.org/10.1038/srep38099 Text en Copyright © 2016, The Author(s) 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
Massad-Ivanir, Naama
Shtenberg, Giorgi
Raz, Nitzan
Gazenbeek, Christel
Budding, Dries
Bos, Martine P.
Segal, Ester
Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry
title Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry
title_full Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry
title_fullStr Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry
title_full_unstemmed Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry
title_short Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry
title_sort porous silicon-based biosensors: towards real-time optical detection of target bacteria in the food industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128872/
https://www.ncbi.nlm.nih.gov/pubmed/27901131
http://dx.doi.org/10.1038/srep38099
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