Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde Gels

Tailoring the properties of porous organic materials, such as resorcinol–formaldehyde gels, for use in various applications has been a central focus for many studies in recent years. In order to achieve effective optimisation for each application, this work aims to assess the impact of the various s...

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Main Authors: Elisha Martin, Martin Prostredny, Ashleigh Fletcher, Paul Mulheran
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Gels
Subjects:
Online Access:https://www.mdpi.com/2310-2861/6/3/23
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author Elisha Martin
Martin Prostredny
Ashleigh Fletcher
Paul Mulheran
author_facet Elisha Martin
Martin Prostredny
Ashleigh Fletcher
Paul Mulheran
author_sort Elisha Martin
collection DOAJ
description Tailoring the properties of porous organic materials, such as resorcinol–formaldehyde gels, for use in various applications has been a central focus for many studies in recent years. In order to achieve effective optimisation for each application, this work aims to assess the impact of the various synthesis parameters on the final textural properties of the gel. Here, the formation of porous organic gels is modelled using a three-dimensional lattice-based Monte Carlo simulation. We model growth from monomer species into the interconnected primary clusters of a gel, and account for varying catalyst concentration and solids content, two parameters proven to control gel properties in experimental work. In addition to analysing the textural properties of the simulated materials, we also explore their fractal properties through correlation dimension and Hurst exponent calculations. The correlation dimension shows that while fractal properties are not typically observed in scattering experiments, they are possible to achieve with sufficiently low solids content and catalyst concentration. Furthermore, fractal properties are also apparent from the analysis of the diffusion path of guest species through the gel’s porous network. This model, therefore, provides insight into how porous organic gels can be manufactured with their textural and fractal properties computationally tailored according to the intended application.
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spelling doaj.art-e7f81dd954194e2dafe50b8bc64e8aa72023-11-20T09:07:51ZengMDPI AGGels2310-28612020-08-01632310.3390/gels6030023Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde GelsElisha Martin0Martin Prostredny1Ashleigh Fletcher2Paul Mulheran3Department of Chemical and Process Engineering, University of Strathclyde, Glasgow G1 1XJ, UKDepartment of Chemical and Process Engineering, University of Strathclyde, Glasgow G1 1XJ, UKDepartment of Chemical and Process Engineering, University of Strathclyde, Glasgow G1 1XJ, UKDepartment of Chemical and Process Engineering, University of Strathclyde, Glasgow G1 1XJ, UKTailoring the properties of porous organic materials, such as resorcinol–formaldehyde gels, for use in various applications has been a central focus for many studies in recent years. In order to achieve effective optimisation for each application, this work aims to assess the impact of the various synthesis parameters on the final textural properties of the gel. Here, the formation of porous organic gels is modelled using a three-dimensional lattice-based Monte Carlo simulation. We model growth from monomer species into the interconnected primary clusters of a gel, and account for varying catalyst concentration and solids content, two parameters proven to control gel properties in experimental work. In addition to analysing the textural properties of the simulated materials, we also explore their fractal properties through correlation dimension and Hurst exponent calculations. The correlation dimension shows that while fractal properties are not typically observed in scattering experiments, they are possible to achieve with sufficiently low solids content and catalyst concentration. Furthermore, fractal properties are also apparent from the analysis of the diffusion path of guest species through the gel’s porous network. This model, therefore, provides insight into how porous organic gels can be manufactured with their textural and fractal properties computationally tailored according to the intended application.https://www.mdpi.com/2310-2861/6/3/23gel modellingRF gelsnanomaterialscluster aggregationgel formationfractal analysis
spellingShingle Elisha Martin
Martin Prostredny
Ashleigh Fletcher
Paul Mulheran
Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde Gels
Gels
gel modelling
RF gels
nanomaterials
cluster aggregation
gel formation
fractal analysis
title Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde Gels
title_full Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde Gels
title_fullStr Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde Gels
title_full_unstemmed Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde Gels
title_short Modelling Organic Gel Growth in Three Dimensions: Textural and Fractal Properties of Resorcinol–Formaldehyde Gels
title_sort modelling organic gel growth in three dimensions textural and fractal properties of resorcinol formaldehyde gels
topic gel modelling
RF gels
nanomaterials
cluster aggregation
gel formation
fractal analysis
url https://www.mdpi.com/2310-2861/6/3/23
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AT martinprostredny modellingorganicgelgrowthinthreedimensionstexturalandfractalpropertiesofresorcinolformaldehydegels
AT ashleighfletcher modellingorganicgelgrowthinthreedimensionstexturalandfractalpropertiesofresorcinolformaldehydegels
AT paulmulheran modellingorganicgelgrowthinthreedimensionstexturalandfractalpropertiesofresorcinolformaldehydegels