Literature DB >> 30932123

A molecular dynamics study on glucose molecular recognition by a non-enzymatic selective sensor based on a conducting polymer.

David Zanuy1, Georgina Fabregat, Carlos A Ferreira, Carlos Alemán.   

Abstract

Poly(hydroxymethyl-3,4-ethylendioxythiophene) (PHMeDOT), a very electroactive polythiophene derivative bearing a dioxane ring fused onto the thiophene ring and an exocyclic hydroxymethyl substituent, is able to electrocatalyze the oxidation of glucose in the presence of interferents (e.g. dopamine, uric acid and ascorbic acid) without the assistance of an enzymatic catalyst. In this work, after demonstrating that the chronoamperometric response of such polythiophene derivatives allows discrimination of glucose from fructose, the PHMeDOTsugar recognition mechanism has been investigated using atomistic computer simulations. More specifically, molecular dynamics simulations were conducted on model systems formed by a steel surface covered with a nanometric film of PHMeDOT, which was immersed in an aqueous environment with a few explicit sugar molecules (i.e. glucose or fructose). Analyses of the trajectories indicate that glucose interacts with PHMeDOT forming a well-defined network of specific hydrogen bonds. More specifically, glucose prefers to interact as a hydrogen bonding donor using the hydroxyl group tether to the main sugar ring, while PHMeDOT acts as the hydrogen bonding acceptor. Interestingly, (glucose)O-HO(PHMeDOT) interactions involve, as hydrogen bonding acceptors, not only the oxygen atoms of the dioxane ring but also the oxygen atom of the exocyclic hydroxymethyl substituent, which is a differential trend with respect to the other polythiophene derivatives that do not exhibit sensing ability. In contrast, fructose does not present such well-defined patterns of specific interactions, especially those that are distinctive because of the exocyclic hydroxymethyl substituent, making the experimental observations understandable.

Entities:  

Year:  2019        PMID: 30932123     DOI: 10.1039/c9cp00567f

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  2 in total

Review 1.  Atomistic Simulations of Functionalized Nano-Materials for Biosensors Applications.

Authors:  Sutapa Dutta; Stefano Corni; Giorgia Brancolini
Journal:  Int J Mol Sci       Date:  2022-01-27       Impact factor: 5.923

Review 2.  Electrochemically Deposited Molecularly Imprinted Polymer-Based Sensors.

Authors:  Simonas Ramanavičius; Inga Morkvėnaitė-Vilkončienė; Urtė Samukaitė-Bubnienė; Vilma Ratautaitė; Ieva Plikusienė; Roman Viter; Arūnas Ramanavičius
Journal:  Sensors (Basel)       Date:  2022-02-08       Impact factor: 3.576

  2 in total

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