Cargando…
Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions
While the economy is rapidly expanding in most emerging countries, issues coupled with a higher population has created foreseeable tension among food, water, and energy. It is crucial for more sustainable valorization of resources, for instance, nanocellulose, to address the core challenges in envir...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926420/ https://www.ncbi.nlm.nih.gov/pubmed/33672331 http://dx.doi.org/10.3390/polym13040668 |
_version_ | 1783659462058311680 |
---|---|
author | Lee, Ka Kit Low, Darren Yi Sern Foo, Mei Ling Yu, Lih Jiun Choong, Thomas Shean Yaw Tang, Siah Ying Tan, Khang Wei |
author_facet | Lee, Ka Kit Low, Darren Yi Sern Foo, Mei Ling Yu, Lih Jiun Choong, Thomas Shean Yaw Tang, Siah Ying Tan, Khang Wei |
author_sort | Lee, Ka Kit |
collection | PubMed |
description | While the economy is rapidly expanding in most emerging countries, issues coupled with a higher population has created foreseeable tension among food, water, and energy. It is crucial for more sustainable valorization of resources, for instance, nanocellulose, to address the core challenges in environmental sustainability. As the complexity of the system evolved, the timescale of project development has increased exponentially. However, research on the design and operation of integrated nanomaterials, along with energy supply, monitoring, and control infrastructure, has seriously lagged. The development cost of new materials can be significantly reduced by utilizing molecular simulation technology in the design of nanostructured materials. To realize its potential, nanocellulose, an amphiphilic biopolymer with the presence of rich -OH and -CH structural groups, was investigated via molecular dynamics simulation to reveal its full potential as Pickering emulsion stabilizer at the molecular level. This work has successfully quantified the Pickering stabilization mechanism profiles by nanocellulose, and the phenomenon could be visualized in three stages, namely the initial homogenous phase, rapid formation of micelles and coalescence, and lastly the thermodynamic equilibrium of the system. It was also observed that the high bead order was always coupled with a high volume of phase separation activities, through a coarse-grained model within 20,000 time steps. The outcome of this work would be helpful to provide an important perspective for the future design and development of nanocellulose-based emulsion products, which cater for food, cosmeceutical, and pharmaceutical industries. |
format | Online Article Text |
id | pubmed-7926420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79264202021-03-04 Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions Lee, Ka Kit Low, Darren Yi Sern Foo, Mei Ling Yu, Lih Jiun Choong, Thomas Shean Yaw Tang, Siah Ying Tan, Khang Wei Polymers (Basel) Article While the economy is rapidly expanding in most emerging countries, issues coupled with a higher population has created foreseeable tension among food, water, and energy. It is crucial for more sustainable valorization of resources, for instance, nanocellulose, to address the core challenges in environmental sustainability. As the complexity of the system evolved, the timescale of project development has increased exponentially. However, research on the design and operation of integrated nanomaterials, along with energy supply, monitoring, and control infrastructure, has seriously lagged. The development cost of new materials can be significantly reduced by utilizing molecular simulation technology in the design of nanostructured materials. To realize its potential, nanocellulose, an amphiphilic biopolymer with the presence of rich -OH and -CH structural groups, was investigated via molecular dynamics simulation to reveal its full potential as Pickering emulsion stabilizer at the molecular level. This work has successfully quantified the Pickering stabilization mechanism profiles by nanocellulose, and the phenomenon could be visualized in three stages, namely the initial homogenous phase, rapid formation of micelles and coalescence, and lastly the thermodynamic equilibrium of the system. It was also observed that the high bead order was always coupled with a high volume of phase separation activities, through a coarse-grained model within 20,000 time steps. The outcome of this work would be helpful to provide an important perspective for the future design and development of nanocellulose-based emulsion products, which cater for food, cosmeceutical, and pharmaceutical industries. MDPI 2021-02-23 /pmc/articles/PMC7926420/ /pubmed/33672331 http://dx.doi.org/10.3390/polym13040668 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Ka Kit Low, Darren Yi Sern Foo, Mei Ling Yu, Lih Jiun Choong, Thomas Shean Yaw Tang, Siah Ying Tan, Khang Wei Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions |
title | Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions |
title_full | Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions |
title_fullStr | Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions |
title_full_unstemmed | Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions |
title_short | Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions |
title_sort | molecular dynamics simulation of nanocellulose-stabilized pickering emulsions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926420/ https://www.ncbi.nlm.nih.gov/pubmed/33672331 http://dx.doi.org/10.3390/polym13040668 |
work_keys_str_mv | AT leekakit moleculardynamicssimulationofnanocellulosestabilizedpickeringemulsions AT lowdarrenyisern moleculardynamicssimulationofnanocellulosestabilizedpickeringemulsions AT foomeiling moleculardynamicssimulationofnanocellulosestabilizedpickeringemulsions AT yulihjiun moleculardynamicssimulationofnanocellulosestabilizedpickeringemulsions AT choongthomassheanyaw moleculardynamicssimulationofnanocellulosestabilizedpickeringemulsions AT tangsiahying moleculardynamicssimulationofnanocellulosestabilizedpickeringemulsions AT tankhangwei moleculardynamicssimulationofnanocellulosestabilizedpickeringemulsions |