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A polymer/peptide complex-based sensor array that discriminates bacteria in urine

A negatively charged poly(para-phenyleneethynylene) (PPE) forms electrostatic complexes with four positively charged antimicrobial peptides (AMP). The AMPs partially quench the fluorescence of the PPE and discriminate fourteen different bacteria in water and in human urine by pattern-based fluoresce...

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Bibliographic Details
Main Authors: Han, Jinsong (Author) , Cheng, Haoran (Author) , Wang, Benhua (Author) , Braun, Markus S. (Author) , Fan, Xiaobo (Author) , Bender, Markus (Author) , Huang, Wei (Author) , Domhan, Cornelius (Author) , Mier, Walter (Author) , Lindner, Thomas (Author) , Seehafer, Kai (Author) , Wink, Michael (Author) , Bunz, Uwe H. F. (Author)
Format: Article (Journal)
Language:English
Published: 28 September 2017
In: Angewandte Chemie. International edition
Year: 2017, Volume: 56, Issue: 48, Pages: 15246-15251
ISSN:1521-3773
DOI:10.1002/anie.201706101
Online Access:Verlag, Volltext: http://dx.doi.org/10.1002/anie.201706101
Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/anie.201706101
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Author Notes:Jinsong Han, Haoran Cheng, Benhua Wang, Markus Santhosh Braun, Xiaobo Fan, Markus Bender, Wei Huang, Cornelius Domhan, Walter Mier, Thomas Lindner, Kai Seehafer, Michael Wink, and Uwe H.F. Bunz
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Summary:A negatively charged poly(para-phenyleneethynylene) (PPE) forms electrostatic complexes with four positively charged antimicrobial peptides (AMP). The AMPs partially quench the fluorescence of the PPE and discriminate fourteen different bacteria in water and in human urine by pattern-based fluorescence recognition; the AMP-PPE complexes bind differentially to the components of bacterial surfaces. The bacterial species and strains form clusters according to staining properties (Gram-positive and Gram-negative) or genetic similarity (genus, species, and strain). The identification and data treatment is performed by pattern evaluation with linear discriminant analysis (LDA) of the collected fluorescence intensity data.
Item Description:First published: 28 September 2017
Gesehen am 03.07.2018
Physical Description:Online Resource
ISSN:1521-3773
DOI:10.1002/anie.201706101

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