2019
DOI: 10.1039/c9cp00567f
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A molecular dynamics study on glucose molecular recognition by a non-enzymatic selective sensor based on a conducting polymer

Abstract: Atomistic molecular dynamics simulations have been used to ascertain the selective detection mechanism of glucose by poly(hydroxymethyl-3,4-ethylenedioxythiophene).

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Cited by 13 publications
(6 citation statements)
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“…Molecularly imprinted polymer shape changes are very often induced by swelling [ 200 ], which can significantly influence the ‘shape memory’ induced behaviour of these polymers [ 201 ]. In order to design molecularly imprinted polymers with desired analytical properties, molecular dynamics [ 202 ] and Density-Functional-Theory (DFT) [ 203 , 204 ] based calculations were recently performed.…”
Section: Physicochemical Methods Used In Molecularly Imprinted Polyme...mentioning
confidence: 99%
“…Molecularly imprinted polymer shape changes are very often induced by swelling [ 200 ], which can significantly influence the ‘shape memory’ induced behaviour of these polymers [ 201 ]. In order to design molecularly imprinted polymers with desired analytical properties, molecular dynamics [ 202 ] and Density-Functional-Theory (DFT) [ 203 , 204 ] based calculations were recently performed.…”
Section: Physicochemical Methods Used In Molecularly Imprinted Polyme...mentioning
confidence: 99%
“…In one study [92] by Zanuy et al, a thin film of Poly (hydroxymethyl-3,4-ethylendioxythiophene) (PHMeDOT) on a steel substrate was examined by classical MD for its ability to detect glucose and fructose. MD simulation results suggested that the system could be used as a sensitive tool for sugar monitoring of diabetic patients due to its specific hydrogen-bonding interactions with glucose with respect to other sugars, e.g., fructose.…”
Section: Polymer-based Biosensorsmentioning
confidence: 99%
“…Non-enzymatic glucose detection was demonstrated for various electrode materials such as mono- and multimetallic nanostructures [ 4 , 5 , 6 , 7 , 8 , 9 ], carbon-based nanocomposites [ 10 , 11 , 12 , 13 ], and conductive polymers (CPs) [ 14 , 15 , 16 , 17 , 18 ]. Improving the analytical signal for non-enzymatic glucose detection was demonstrated for composite materials combining conductive polymers and metallic nanoparticles (MNPs) [ 15 , 19 , 20 , 21 , 22 ]. Furthermore, nanocomposites based on CP—polyaniline (PANI) present a special group promising for the creation of small glucometer devices.…”
Section: Introductionmentioning
confidence: 99%