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Analytical and Bioanalytical Chemistry

, Volume 411, Issue 12, pp 2487–2492 | Cite as

Detection of protease and engineered phage-infected bacteria using peptide-graphene oxide nanosensors

  • Juhong Chen
  • Sam R. NugenEmail author
Communication

Abstract

A peptide-graphene oxide nanosensor has been developed to detect tobacco etch virus (TEV) protease and bacteria infected with an engineered bacteriophage. In the detection strategy, a peptide (sequence: RKRFRENLYFQSCP) is tagged with fluorophores and graphene oxide (GO) is used to adsorb the peptides while quenching their fluorescence. In the presence of TEV protease, fluoropeptides are cleaved between glutamine (Q) and serine (S), resulting in the recovery of fluorescence signal. Based on the fluorescent intensity, the detection limit of TEV protease is 51 ng/μL. Additionally, we have utilized the sensing system to detect bacteria cells. Bacteriophages, which were engineered to carry TEV protease genes, were used to infect target bacteria (Escherichia coli) resulting in the translation and release of the protease. This allowed the estimation of bacteria at the concentration of 104 CFU/mL. This strategy has the potential to be developed as a multiplex detection platform of multiple bacterial species.

Graphical abstract

Keywords

TEV protease Engineered phage Bacteria detection Graphene oxide Bacteriophage Biosensor 

Notes

Acknowledgements

The authors would like to acknowledge the National Science Foundation (1705797). Additionally, this material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch under 1013507.

Compliance with ethical standards

Conflict of interest

The authors declare that there are no conflicts of interest.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Food ScienceCornell UniversityIthacaUSA
  2. 2.Department of Mechanical EngineeringUniversity of California BerkeleyBerkeleyUSA

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