Journal
BIOSENSORS-BASEL
Volume 11, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/bios11050142
Keywords
antimicrobial peptides; bacteria; water samples; detection; dark field; motility; fluorescence microscopy; quantum dots
Funding
- On-Chip Device for Detection and Identification of Pathogens for Security Application
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The study introduces a new method that combines fast pre-enrichment with AMPs and labelled antibodies for detection and identification. The experiment includes capturing bacteria, detecting and categorizing Gram-positive and Gram-negative bacteria, and identifying bacterial strains using labelled antibodies. Concept validation was conducted using Escherichia coli and Bacillus sp. as models.
The development of sensitive methods for the determination of potential bacterial contamination is of upmost importance for environmental monitoring and food safety. In this study, we present a new method combining a fast pre-enrichment step using a microporous cryogel and a detection and identification step using antimicrobial peptides (AMPs) and labelled antibodies, respectively. The experimental method consists of: (i) the capture of large amounts of bacteria from liquid samples by using a highly porous and functionalized cryogel; (ii) the detection and categorisation of Gram-positive and Gram-negative bacteria by determining their affinities toward a small set of AMPs; and (iii) the identification of the bacterial strain by using labelled detection antibodies. As proof of concept, the assessment of the three steps of the analysis was performed by using Escherichia coli and Bacillus sp. as models for Gram-negative and Gram-positive bacteria, respectively. The use of AMPs with broad specificity combined with labelled antibodies enabled the detection and potential categorization of a large spectrum of unknown or unexpected bacteria.
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