4.7 Article

A new biosensor based on the recognition of phages and the signal amplification of organic-inorganic hybrid nanoflowers for discriminating and quantitating live pathogenic bacteria in urine

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 258, Issue -, Pages 803-812

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2017.11.155

Keywords

Electrochemical biosensor; GOx&; HRP-Cu-3(PO4)(2) nanoflowers; T4 phages; Antimicrobial peptide; Escherichia coli

Funding

  1. National Natural Science Foundation of China [81672112]
  2. Chongqing Yuzhong District Science and Technology Project [20140108]

Ask authors/readers for more resources

Rapid and accurate detection of live pathogenic bacteria in urine is indispensable for the diagnosis of urinary tract infection (UTI) in clinical practice. In the present study, an electrochemical biosensor was developed to quantify live bacteria in urine accurately and rapidly, by taking Escherichia coli (E. coli) as an example. The main strategy was based on the specific recognition of T4 phages and the signal amplification of organic-inorganic hybrid nanoflowers (GOx&HRP-Cu-3(PO4)(2)). After connecting the thionine, the signal was gradually amplified with the cascade effect of three redox reactions. Using this proposed electrochemical biosensor, live E. coli can be quantified at a linearity range of 15-1.5 x 10(8) CFU/mL, with a very low detection limit of 1 CFU/mL. Compared with the traditional method of culturing and counting, the present biosensor is easier and simpler to handle, and the process of quantitation was completed within only 140 min. Present results showed that the proposed electrochemical biosensor has great potential application in diagnosing and monitoring UTI in clinical settings. (c) 2017 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available