Dense layer of bacteriophages ordered in alternating electric field and immobilized by surface chemical modification as sensing element for bacteria detection

Łukasz Richter , Krzysztof Bielec , Adam Leśniewski , Marcin Łoś , Jan Paczesny , Robert Hołyst


Faster and more sensitive environmental monitoring should be developed to face the worldwide problem of bacterial infections. To remedy this issue, we demonstrate a bacteria-sensing element that utilizes dense and ordered layers of bacteriophages specific to the given bacteria strain. We combine (1) the chemical modification of a surface to increase the surface coverage of bacteriophages (2) with an alternating electric field to greatly increase the number of properly oriented bacteriophages at the surface. Usually, in sensing elements, a random orientation of bacteriophages results in steric hindrance, which results in no more than a few percent of all receptors being available. An increased number of properly ordered phages results in the optimal performance of phage receptors, manifesting in up to a 64-fold increase in sensitivity and a limit of detection as low as 100 CFU mL−1. Our sensing elements can be applied for selective, sensitive, and fast (15 min) bacterial detection. A well-studied pair T4 bacteriophage-bacteria Escherichia coli, was used as a model; however, the method could be adapted to prepare bacteriophage-based sensors for detection of a variety of bacterial strains.
Author Łukasz Richter
Łukasz Richter,,
, Krzysztof Bielec
Krzysztof Bielec,,
, Adam Leśniewski
Adam Leśniewski,,
, Marcin Łoś (FB / DMGB)
Marcin Łoś,,
- Department of Molecular Genetics of Bacteria
, Jan Paczesny
Jan Paczesny,,
, Robert Hołyst
Robert Hołyst,,
Journal seriesACS Applied Materials & Interfaces, ISSN 1944-8244, (A 40 pkt)
Issue year2017
Publication size in sheets0.5
Keywords in EnglishT4 bacteriophages, orientation, alternating, electric field, surface modification, biosensor, nonlinear electrophoresis
Languageen angielski
Score (nominal)40
ScoreMinisterial score = 40.0, ArticleFromJournal
Ministerial score (2013-2016) = 40.0, ArticleFromJournal
Publication indicators WoS Impact Factor: 2017 = 8.097 (2) - 2017=8.284 (5)
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