Molecularly imprinted polymer as a synthetic receptor mimic for capacitive impedimetric selective recognition of Escherichia coli K-12 - Université de Lorraine Access content directly
Journal Articles Analytica Chimica Acta Year : 2021

Molecularly imprinted polymer as a synthetic receptor mimic for capacitive impedimetric selective recognition of Escherichia coli K-12

Abstract

We fabricated an electrochemical molecularly imprinted polymer (MIP) chemosensor for rapid identification and quantification of E. coli strain using 2-aminophenyl boronic acid as the functional monomer. This strain is a modified Gram-negative strain of Escherichia coli bacterium, an ordinary human gut component. The E. coli strongly interacts with a boronic acid because of porous and flexible polymers of the cell wall. The SEM imaging showed that the bacteria template was partially entrapped within the polymeric matrix in a single step. Moreover, this imaging confirmed E. coli K-12 cell template extraction effectiveness. The prepared MIP determined the E. coli K-12 strain up to 2.9 × 104 cells mL−1. The interference study performed in the presence of E. coli variants expressing different surface appendages (type 1 fimbriae or Antigen 43 protein) or Shewanella oneidensis MR1, another Gram-negative bacteria, demonstrated that the bacterial surface composition notably impacts sensing properties of the bacteria imprinted polymer.
Fichier principal
Vignette du fichier
ACA 2021 Final OpenAccess Hal.pdf (1.91 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-03394357 , version 1 (28-10-2021)

Licence

Attribution - NonCommercial - NoDerivatives

Identifiers

Cite

Nabila Yasmeen, Mathieu Etienne, Piyush Sindhu Sharma, Sofiane El-Kirat-Chatel, Mariela Brites Helú, et al.. Molecularly imprinted polymer as a synthetic receptor mimic for capacitive impedimetric selective recognition of Escherichia coli K-12. Analytica Chimica Acta, 2021, pp.339177. ⟨10.1016/j.aca.2021.339177⟩. ⟨hal-03394357⟩
19 View
149 Download

Altmetric

Share

Gmail Facebook X LinkedIn More