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Phage-targeting bimetallic nanoplasmonic biochip functionalized with bacterial outer membranes as a biorecognition element.

Authors :
Kim MJ
Bae HE
Kwon S
Park MK
Yong D
Kang MJ
Pyun JC
Source :
Biosensors & bioelectronics [Biosens Bioelectron] 2023 Oct 15; Vol. 238, pp. 115598. Date of Electronic Publication: 2023 Aug 14.
Publication Year :
2023

Abstract

The use of phages-a natural predator of bacteria-has emerged as a therapeutic strategy for treating multidrug-resistant bacterial infections; thus, the isolation and detection of phages from the environment is crucial for advancing phage therapy. Herein, for the first time, we propose a nanoplasmonic-based biodetection platform for phages that utilizes bacterial outer membranes (OMs) as a biorecognition element. Conventional biosensors based on phage-bacteria interactions encounter multiple challenges due to the bacteriolytic phages and potentially toxic bacteria, resulting in instability and risk in the measurement. Therefore, instead of whole living bacteria, we employ a safe biochemical OMs fraction presenting phage-specific receptors, allowing the robust and reliable phage detection. In addition, the biochip is constructed on bimetallic nanoplasmonic islands through solid-state dewetting for synergy between Au and Ag, whereby sensitive detection of phage-OMs interactions is achieved by monitoring the absorption peak shift. For high detection performance, the nanoplasmonic chip is optimized by systematically investigating the morphological features, e.g., size and packing density of the nanoislands. Using our optimized device, phages are detected with high sensitivity (≥∼10 <superscript>4</superscript> plaques), specificity (little cross-reactivity), and affinity (stronger binding to the host OMs than anti-bacterial antibodies), further exhibiting the cell-killing activities.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-4235
Volume :
238
Database :
MEDLINE
Journal :
Biosensors & bioelectronics
Publication Type :
Academic Journal
Accession number :
37597282
Full Text :
https://doi.org/10.1016/j.bios.2023.115598