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New bioelectrode based on graphene quantum dots-polypyrrole film and Concanavalin A for pathogenic microorganism detection.

Authors :
Santos MPMC
de Oliveira LS
Lima-Neto RG
Andrade CAS
Oliveira MDL
Source :
Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2024 Sep 15; Vol. 248, pp. 116299. Date of Electronic Publication: 2024 Jun 08.
Publication Year :
2024

Abstract

Infections caused by microorganisms are a public health problem worldwide. New biodetection systems are essential to diagnose with accuracy resulting in more effective treatment. In this work, we propose a ConA-conjugated graphene quantum dots and polypyrrole film-based biosensor for label-free detection of Candida albicans, Candida glabrata, Candida tropicalis, E. coli, B. subitilis, and S. aureus. We modified polypyrrole and graphene quantum dots (PPY-QDGs) with Concanavalin A (Con A) lectin. ConA is a glucose/mannose-specific lectin. The results showed that ConA lectin has the highest binding affinity for C. tropicalis and S. subtilis. PPY-GQDs-ConA binding profile revealed differential response for Candida spp (C. tropicalis > C. albicans > C. glabrata) and bacterial (B. subtilis > S. aureus > E. coli). The limits of detection (LOD) obtained were 1.42 CFU/mL for C. albicans, and 3.72 CFU/mL for C. glabrata. C. tropicalis yielded a LOD of 0.18 CFU/mL. The respective LODs for the evaluated bacteria were 0.39 CFU/mL for S. aureus, 0.72 CFU/mL for S. subtilis, and 2.63 CFU/mL for E. coli. The differential response obtained for the sensor can be attributed to the heterogeneous distribution of carbohydrates on the microorganism's surfaces. The proposed system based on a flexible substrate is effective for microbiological diagnosis.<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 © 2024. Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1873-264X
Volume :
248
Database :
MEDLINE
Journal :
Journal of pharmaceutical and biomedical analysis
Publication Type :
Academic Journal
Accession number :
38865928
Full Text :
https://doi.org/10.1016/j.jpba.2024.116299