Title :

Reduced graphene oxide/polyethylenimine based immunosensor for the selective and sensitive electrochemical detection of uropathogenic Escherichia coli

Author(s) :

Jijie, Roxana [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Kahlouche, Karima [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Barras, Alexandre [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Yamakawa, Nao [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle UMR 8576 [UGSF]
Bouckaert, Julie [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle UMR 8576 [UGSF]
Gharbi, Tijani [Auteur]
Nanomédecine, imagerie, thérapeutique - UFC (UR 4662) [NIT / NANOMEDECINE]
Szunerits, Sabine [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Boukherroub, Rabah [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Journal title :

Sensors and Actuators B. Chemical

Volume number :

260

Pages :

255-263

Publication date :

2018-05

ISSN :

09254005

English keyword(s) :

Electrophoretic deposition
Reduced graphene oxide
Polyethyleneimine
Anti- fimbrial E. coli antibodies
E. coli UTI89 bacteria
Electrochemical sensing

HAL domain(s) :

Chimie/Chimie théorique et/ou physique

English abstract : [en]

Fast, reliable and selective detection of microorganisms is of uttermost importance in clinical analysis, but also in food and water quality monitoring. In this study, we report on the construction of an immunosensor for ...
Show more >Fast, reliable and selective detection of microorganisms is of uttermost importance in clinical analysis, but also in food and water quality monitoring. In this study, we report on the construction of an immunosensor for sensitive and selective electrochemical detection of uropathogenic Escherichia coli (E. coli) UTI89 bacteria in aqueous and serum samples. We took benefit of electrophoretic deposition (EPD) to prepare, in a simple, controllable and cost effective way, gold electrodes modified with thin active layers of reduced graphene oxide/polyethylenimine (rGO/PEI). While rGO exhibits high surface area and favourable electrochemical properties, the presence of abundant single bondNH2 groups on PEI offers a plethora of opportunities for the sensor’s surface functionalization. To achieve selectivity of detection, the electrode surface was covalently modified with anti-fimbrial E. coli antibodies via amide bond formation. To minimize non-specific adsorption, the immunosensor was additionally modified with pyrene-polyethyleneglycol (pyrene-PEG) moieties prior to antibody immobilization. The detection of E. coli was based on the restriction of electron transfer of a redox mediator, in our case potassium ferrocyanide, to the rGO/PEI modified electrical transducer due to the formation of an immune complex. The developed immunosensor displayed a sigmoidal shape with a linear range of 1 × 101–1 × 104 cfu mL−1 (R2 = 0.995) according to i(μA) = −16.66–20.5 × log[E. coli] (cfu mL−1) and a detection limit of 10 cfu mL−1. Additionally, the sensor performed well both in aqueous, serum and urine media, which is essential for its potential use for clinical diagnosis of pathogenic diseases. Selectivity studies showed that the immunosensor was able to discriminate between E. coli UTI89 wild-type strain and UTI89 Δfim, without fim operon.Show less >

Language :

Anglais

Audience :

Non spécifiée

ANR Project :

Effets thérapeutiques de polymères mannosylés synthétiques capables de contrôler les infections chroniques ntestinales à Escherichia coli en interagissant avec la dynamique de glycosylation des cellules hôtes

Administrative institution(s) :

Institut Catholique Lille
Université de Lille
ISEN
Univ. Valenciennes
CNRS
Centrale Lille

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520
• Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576

Research team(s) :

Computational Molecular Systems Biology

Submission date :

2020-02-12T15:44:47Z
2021-04-22T13:26:32Z