Nanomechanical detection of Escherichia coli infection by bacteriophage T7 using cantilever sensors
Viruses that infect bacteria (bacteriophages) are a promising alternative treatment for bacterial diseases, especially in the case of antibiotic resistance. Due to a renewed interest in phage therapies, development of rapid and specific detection methods for bacteria/bacteriophage interaction are ga...
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Published in | Nanoscale Vol. 11; no. 38; pp. 17689 - 17698 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Royal Society of Chemistry
03.10.2019
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Subjects | |
Online Access | Get full text |
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Summary: | Viruses that infect bacteria (bacteriophages) are a promising alternative treatment for bacterial diseases, especially in the case of antibiotic resistance. Due to a renewed interest in phage therapies, development of rapid and specific detection methods for bacteria/bacteriophage interaction are gaining attention for proper diagnosis and treatment. This paper describes a new method to detect the interaction between Escherichia coli and bacteriophage T7 in a sensitive and quantitative way, using the nanomechanical motion of bacteria adhered to a cantilever surface. Our approach combines both deflection and dynamic frequency-domain characterization. The device was able to determine the viability of a low amount of living bacteria attached to the cantilever, and was used to monitor T7 interaction with E. coli over a wide range of virus concentrations up to 109 PFU ml-1. The nanomechanical assay described here requires no protein labeling and can be performed in a single reaction without additional reagents. The system was able to detect the interaction between a few thousand particles through the fluctuation of mechanical energy over a broad range of frequencies. The presented data provides the basis for more detailed studies of the sequence of molecular events that contribute to the motion of the device. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2040-3364 2040-3372 |
DOI: | 10.1039/c9nr05240b |