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Modulated Smart Material Surfaces for Bacterial Differentiation.
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2071-7768
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, Faculty of Science & Engineering. (Biosensors & Bioelectronics)ORCID iD: 0000-0002-1815-9699
2015 (English)In: Sweden-Japan Seminar on Nanomaterials and Nanotechnology – SJS-Nano, Linköping, Sweden, 10-11 March 2015., Japan Society for the Promotion of Science (JSPS), Stockholm. , 2015, 30- p.Conference paper, Poster (Refereed)
Abstract [en]

A novel rapid method for bacterial differentiation is explored based on the specific adhesion pattern of bacterial strains to tunable polymer surfaces. These preliminary investigations lay the foundation for the development of an electronically tunable array of sensors that will provide patterns of information that feed into computational recognition algorithms to enable swift diffentiation of bacterial species. Different types of counter ions were used to electrochemically fabricate dissimilar polypyrrole (PPy) films with diverse physicochemical properties such as hydrophobicity, thickness and roughness. These were then modulated into three different oxidation states in each case.  The dissimilar sets of conducting polymers were exposed to a number of different bacterial strains. Generally, the number of cells of a particular bacterial strain that adhered varied when exposed to dissimilar polymer surfaces, due to the effects of the surface properties of the polymer on bacterial attachment. Similarly, the number of cells that adhered varied with different bacterial strains exposed to the same surface, reflecting the different surface properties of the bacteria. Five different bacterial strains, Deinococcus proteolyticus, Serratia marcescens, Pseudomonas fluorescens, Alcaligenes faecalis and Staphylococcus epidermidis, were seeded onto various PPy surfaces. By analysis of the fluorescent microscope images, the number of bacterial cell adhered to each surface were evaluated. Principal Component Analysis showed that all had their own specific adhesion pattern with respect to the set of applied PPy areas.  Hence, these strains could be discriminated by this simple, label-free method. In summary, this provides a proof-of-concept for using specific adhesion properties of bacterial strains in conjunction with tunable polymer arrays and pattern recognition as a method for rapid bacterial identification in situ.

Place, publisher, year, edition, pages
Japan Society for the Promotion of Science (JSPS), Stockholm. , 2015. 30- p.
National Category
Textile, Rubber and Polymeric Materials
Identifiers
URN: urn:nbn:se:liu:diva-118108OAI: oai:DiVA.org:liu-118108DiVA: diva2:813193
Conference
Sweden-Japan Seminar on Nanomaterials and Nanotechnology – SJS-Nano, Linköping, Sweden, 10-11 March 2015.
Available from: 2015-05-21 Created: 2015-05-21 Last updated: 2016-05-24

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Textile, Rubber and Polymeric Materials

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ReferencesLink to record
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