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A method for microbial cell surface fingerprinting based on surface plasmon resonance
YKI – Ytkemiska institutet.
2007 (English)In: Journal of Biochemical and Biophysical Methods, ISSN 0165-022X, E-ISSN 1872-857X, Vol. 70, no 4, 595-604 p.Article in journal (Refereed)
Abstract [en]

A method for cell surface fingerprinting using surface plasmon resonance (SPR) is suggested. Four different Esherichia coli mutants have been used as model cells, which were cultivated in shake flasks. Cell surface fingerprints were generated by registration of the interaction between the cell mutants and four different surfaces, with different physical and chemical properties, when a cell suspension was flown over the surface. Significant differences between some of the isolates were observed. Comparative measurements of physical property data are also included. A method for microbial cell surface fingerprinting using surface plasmon resonance (SPR) is suggested. Four different Escherichia coli mutants have been used as model cells. Cell surface fingerprints were generated by registration of the interaction between the cell mutants and four different surfaces, with different physical and chemical properties, when a cell suspension was flown over the surface. Significant differences in fingerprint pattern between some of the mutants were observed. At the same time, the physical properties of the cell surfaces were determined using microelectrophoresis, contact angle measurements and aqueous two-phase partitioning and compared to the SPR fingerprints. The generated cell surface fingerprints and the physical property data were evaluated with multivariate data analysis that showed that the cells were separated into individual groups in a similar way using principal component analysis plots (PCA)

Place, publisher, year, edition, pages
2007. Vol. 70, no 4, 595-604 p.
Keyword [en]
Microbial cell surface properties, surface plasmon resonance, contact angle measurements, microelectrophoresis, aqueous two-phase partitioning, multivariate data analysis
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-26640OAI: oai:DiVA.org:ri-26640DiVA: diva2:1053643
Note
A1728Available from: 2016-12-08 Created: 2016-12-08Bibliographically approved

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